2023
Gray, N., de Angelis, M., & Ferson, S. (2023). Towards an automatic uncertainty compiler. INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 160. doi:10.1016/j.ijar.2023.108951DOI: 10.1016/j.ijar.2023.108951
Tretiak, K., Schollmeyer, G., & Ferson, S. (2023). Neural network model for imprecise regression with interval dependent variables.. Neural networks : the official journal of the International Neural Network Society, 161, 550-564. doi:10.1016/j.neunet.2023.02.005DOI: 10.1016/j.neunet.2023.02.005
de Angelis, M., Gray, A., Ferson, S., & Patelli, E. (2023). Robust online updating of a digital twin with imprecise probability. MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 186. doi:10.1016/j.ymssp.2022.109877DOI: 10.1016/j.ymssp.2022.109877
Tretiak, K., & Ferson, S. (2023). Should data ever be thrown away? Pooling interval-censored data sets with different precision. International Journal of Approximate Reasoning. doi:10.1016/j.ijar.2023.02.007DOI: 10.1016/j.ijar.2023.02.007
Lye, A., Gray, A., de Angelis, M., & Ferson, S. (2023). ROBUST PROBABILITY BOUNDS ANALYSIS FOR FAILURE ANALYSIS UNDER LACK OF DATA AND MODEL UNCERTAINTY. In UNCECOMP Proceedings.
2022
Gray, A., de Angelis, M., Patelli, E., & Ferson, S. (2023). Bivariate dependency tracking in interval arithmetic. MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 186. doi:10.1016/j.ymssp.2022.109771DOI: 10.1016/j.ymssp.2022.109771
Derrer-Merk, E., Ferson, S., Mannis, A., Bentall, R. P., & Bennett, K. M. (n.d.). Belongingness challenged: Exploring the impact on older adults during the COVID-19 pandemic. PLOS ONE, 17(10), e0276561. doi:10.1371/journal.pone.0276561DOI: 10.1371/journal.pone.0276561
Derrer-Merk, E., Reyes-Rodriguez, M. -F., Salazar, A. -M., Guevara, M., Rodriguez, G., Fonseca, A. -M., . . . Bennett, K. M. (2022). Is Protecting Older Adults from COVID-19 Ageism? A Comparative Cross-cultural Constructive Grounded Theory from the United Kingdom and Colombia. JOURNAL OF SOCIAL ISSUES, 78(4), 900-923. doi:10.1111/josi.12538DOI: 10.1111/josi.12538
Gray, A., Ferson, S., Kreinovich, V., & Patelli, E. (2022). Distribution-free risk analysis. International Journal of Approximate Reasoning, 146, 133-156. doi:10.1016/j.ijar.2022.04.001DOI: 10.1016/j.ijar.2022.04.001
Derrer-Merk, E., Ferson, S., Mannis, A., Bentall, R., & Bennett, K. M. (2022). Older people's family relationships in disequilibrium during the COVID-19 pandemic. What really matters?. AGEING & SOCIETY. doi:10.1017/S0144686X22000435DOI: 10.1017/S0144686X22000435
Baumont de Oliveira, F. J., Ferson, S., Dyer, R. A. D., Thomas, J. M. H., Myers, P. D., & Gray, N. G. (2022). How High Is High Enough? Assessing Financial Risk for Vertical Farms Using Imprecise Probability. SUSTAINABILITY, 14(9). doi:10.3390/su14095676DOI: 10.3390/su14095676
Gray, N., Ferson, S., De Angelis, M., Gray, A., & de Oliveira, F. B. (2022). Probability bounds analysis for Python. Software Impacts, 100246. doi:10.1016/j.simpa.2022.100246DOI: 10.1016/j.simpa.2022.100246
Wimbush, A., Gray, N., & Ferson, S. (2022). Singhing with confidence: visualising the performance of confidence procedures. Journal of Statistical Computation and Simulation, 1-17. doi:10.1080/00949655.2022.2044814DOI: 10.1080/00949655.2022.2044814
Correlated Boolean Operators for Uncertainty Logic (Chapter)
Miralles-Dolz, E., Gray, A., Patelli, E., & Ferson, S. (2022). Correlated Boolean Operators for Uncertainty Logic. In Information Processing and Management of Uncertainty in Knowledge-Based Systems (pp. 798-811). Springer International Publishing. doi:10.1007/978-3-031-08971-8_64DOI: 10.1007/978-3-031-08971-8_64
2021
While, In General, Uncertainty Quantification (UQ) Is NP-Hard, Many Practical UQ Problems Can Be Made Feasible (Conference Paper)
Gray, A., Ferson, S., Kosheleva, O., & Kreinovich, V. (2021). While, In General, Uncertainty Quantification (UQ) Is NP-Hard, Many Practical UQ Problems Can Be Made Feasible. In 2021 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (IEEE SSCI 2021). doi:10.1109/SSCI50451.2021.9659990DOI: 10.1109/SSCI50451.2021.9659990
De Angelis, M., Rocchetta, R., Gray, A., & Ferson, S. (2021). Constructing consonant beliefs from multivariate data with scenario theory. Poster session presented at the meeting of The International Symposium on Imprecise Probabilities: Theories and Applications.
Le Carrer, N., & Ferson, S. (2021). Beyond probabilities: A possibilistic framework to interpret ensemble predictions and fuse imperfect sources of information. QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, 147(739), 3410-3433. doi:10.1002/qj.4135DOI: 10.1002/qj.4135
Response to the comment Confidence in confidence distributions! (Journal article)
Martin, R., Balch, M. S., & Ferson, S. (2021). Response to the comment Confidence in confidence distributions!. PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 477(2250). doi:10.1098/rspa.2020.0579DOI: 10.1098/rspa.2020.0579
De Angelis, M., Rocchetta, R., Gray, A., & Ferson, S. (2021). Constructing Consonant Predictive Beliefs from Data with Scenario Theory. In Proceedings of Machine Learning Research Vol. 147 (pp. 362). Granada, Spain.
Ferson, S., & Gray, A. (2021, May 17). Distribution-free uncertainty propagation. In 9th International Workshop on Reliable Engineering Computing (REC2021). Virtual (Taormina, Italy).
Gray, A., De Angelis, M., Ferson, S., & Patelli, E. (2021, May 17). What’s Z−X, when Z = X+Y? Dependency tracking in interval arithmetic with bivariate sets. In 9th International Workshop on Reliable Engineering Computing (REC2021). Virtual (Taormina, Italy).
Alexiadis, A., Ferson, S., & Patterson, E. A. (2021). Transformation of measurement uncertainties into low-dimensional feature vector space. ROYAL SOCIETY OPEN SCIENCE, 8(3). doi:10.1098/rsos.201086DOI: 10.1098/rsos.201086
Gray, N., Calleja, D., Wimbush, A., Miralles-Dolz, E., Gray, A., De Angelis, M., . . . Ferson, S. (2021). Is no test better than a bad test: Impact of diagnostic uncertainty on the spread of COVID-19 (vol 15, e0240775, 2020). PLOS ONE, 16(2). doi:10.1371/journal.pone.0247129DOI: 10.1371/journal.pone.0247129
De Oliveira, F. J. B., Ferson, S., & Dyer, R. (2021). A Collaborative Decision Support System Framework for Vertical Farming Business Developments. INTERNATIONAL JOURNAL OF DECISION SUPPORT SYSTEM TECHNOLOGY, 13(1), 34-66. doi:10.4018/IJDSST.2021010103DOI: 10.4018/ijdsst.2021010103
Constructing Consonant Predictive Beliefs from Data with Scenario Theory (Conference Paper)
DeAngelis, M., Rocchetta, R., Gray, A., & Ferson, S. (2021). Constructing Consonant Predictive Beliefs from Data with Scenario Theory. In PROCEEDINGS OF THE TWELVETH INTERNATIONAL SYMPOSIUM ON IMPRECISE PROBABILITY: THEORIES AND APPLICATIONS Vol. 147 (pp. 357-360). Retrieved from https://www.webofscience.com/
Gray, A., Hose, D., De Angelis, M., Hanss, M., & Ferson, S. (2021). Dependent Possibilistic Arithmetic Using Copulas. In PROCEEDINGS OF THE TWELVETH INTERNATIONAL SYMPOSIUM ON IMPRECISE PROBABILITY: THEORIES AND APPLICATIONS Vol. 147 (pp. 169-179). Retrieved from https://www.webofscience.com/
Handling the Uncertainty with Confidence in Human Reliability Analysis (Conference Paper)
Morais, C., Ferson, S., Moura, R., Tolo, S., Beer, M., & Patelli, E. (2021). Handling the Uncertainty with Confidence in Human Reliability Analysis. In Proceedings of the 31st European Safety and Reliability Conference (ESREL 2021). Research Publishing Services. doi:10.3850/978-981-18-2016-8_575-cdDOI: 10.3850/978-981-18-2016-8_575-cd
2020
Comment on: British Society for Rheumatology guideline on diagnosis and treatment of giant cell arteritis (Journal article)
Oparaji, B. U., Clearkin, L., Ferson, S., De Angelis, M., Ferrer-Fernandez, M., Calleja, D., . . . Derrer-Merk, E. (2020). Comment on: British Society for Rheumatology guideline on diagnosis and treatment of giant cell arteritis. RHEUMATOLOGY, 59(12), E159. doi:10.1093/rheumatology/keaa265DOI: 10.1093/rheumatology/keaa265
Is "No test is better than a bad test"? Impact of diagnostic uncertainty in mass testing on the spread of Covid-19 (Journal article)
Gray, N., Calleja, D., Wimbush, A., Miralles-Dolz, E., Gray, A., De Angelis, M., . . . Ferson, S. (2020). Is "No test is better than a bad test"? Impact of diagnostic uncertainty in mass testing on the spread of Covid-19. PLoS One. doi:10.1371/journal.pone.0240775DOI: 10.1371/journal.pone.0240775
Gray, N., Calleja, D., Wimbush, A., Miralles-Dolz, E., Gray, A., De-Angelis, M., . . . Ferson, S. (2020). Is “no test is better than a bad test”? Impact of diagnostic uncertainty in mass testing on the spread of COVID-19. doi:10.1101/2020.04.16.20067884DOI: 10.1101/2020.04.16.20067884
Optimising cargo loading and ship scheduling in tidal areas (Journal article)
Le Carrer, N., Ferson, S., & Green, P. L. (2020). Optimising cargo loading and ship scheduling in tidal areas. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 280(3), 1082-1094. doi:10.1016/j.ejor.2019.08.002DOI: 10.1016/j.ejor.2019.08.002
A Possibilistic Interpretation of Ensemble Predictions: Application to Shipping Optimization in Tidal Areas (Conference Paper)
Carrer, N. L., & Ferson, S. (2020). A Possibilistic Interpretation of Ensemble Predictions: Application to Shipping Optimization in Tidal Areas. In Proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference. Research Publishing Services. doi:10.3850/978-981-14-8593-0_4543-cdDOI: 10.3850/978-981-14-8593-0_4543-cd
A Problem in the Bayesian Analysis of Data without Gold Standards (Conference Paper)
Gray, N., Angelis, M. D., Calleja, D., & Ferson, S. (2019). A Problem in the Bayesian Analysis of Data without Gold Standards. In Proceedings of the 29th European Safety and Reliability Conference (ESREL). Research Publishing Services. doi:10.3850/978-981-11-2724-3_0458-cdDOI: 10.3850/978-981-11-2724-3_0458-cd
Prediction And Decision Making From Bad Data (Conference Paper)
Ferson, S. (2019). Prediction And Decision Making From Bad Data. In Proceedings of the 29th European Safety and Reliability Conference (ESREL). Research Publishing Services. doi:10.3850/978-981-11-2724-3_0005-cdDOI: 10.3850/978-981-11-2724-3_0005-cd
2019
De Angelis, M., Estrada Lugo, H. D., Patelli, E., & Ferson, S. (2019). On the dimensionality of inference in credal nets with interval probabilities. Poster session presented at the meeting of ISIPTA 2019. Ghent.
Balch, M., Martin, R., & Ferson, S. (2019). Coverage Probability Fails to Ensure Reliable Inference. Proceedings of the Royal Society of London. Mathematical, Physical and Engineering Sciences.
De Angelis, M., Ferson, S., Patelli, E., & Kreinovich, V. (2019). BLACK-BOX PROPAGATION OF FAILURE PROBABILITIES UNDER EPISTEMIC UNCERTAINTY. In Proceedings of the 3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2019). Institute of Structural Analysis and Antiseismic Research School of Civil Engineering National Technical University of Athens (NTUA) Greece. doi:10.7712/120219.6373.18699DOI: 10.7712/120219.6373.18699
Gray, N., De Angelis, M., & Ferson, S. (2019). COMPUTING WITH UNCERTAINTY: INTRODUCING PUFFIN THE AUTOMATIC UNCERTAINTY COMPILER. In Proceedings of the 3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2019). Institute of Structural Analysis and Antiseismic Research School of Civil Engineering National Technical University of Athens (NTUA) Greece. doi:10.7712/120219.6354.18702DOI: 10.7712/120219.6354.18702
2018
Calder, A. C., Hoffman, M. M., Willcox, D. E., Katz, M. P., Swesty, F. D., & Ferson, S. (2018). Quantification of Incertitude in Black Box Simulation Codes. In 12TH INTERNATIONAL CONFERENCE ON NUMERICAL MODELING OF SPACE PLASMA FLOWS: ASTRONUM-2017 Vol. 1031. doi:10.1088/1742-6596/1031/1/012016DOI: 10.1088/1742-6596/1031/1/012016
Linkov, I., Trump, B. D., Anklam, E., Berube, D., Boisseasu, P., Cummings, C., . . . Vermeire, T. (2018). Comparative, collaborative, and integrative risk governance for emerging technologies.. Environment systems & decisions, 38(2), 170-176. doi:10.1007/s10669-018-9686-5DOI: 10.1007/s10669-018-9686-5
2016
Ecological modeling in risk assessment: Chemical effects on populations, ecosystems, and landscapes (Book)
Pastorok, R. A., Bartell, S. M., Ferson, S., & Ginzburg, L. R. (2016). Ecological modeling in risk assessment: Chemical effects on populations, ecosystems, and landscapes.
Population models - scalar abundance (Chapter)
Ferson, S. (2016). Population models - scalar abundance. In Ecological Modeling in Risk Assessment: Chemical Effects on Populations, Ecosystems, and Landscapes (pp. 37-53).
Ecological Risk Assessment for Mink and Short-Tailed Shrew Exposed to PCBs, Dioxins, and Furans in the Housatonic River Area (Journal article)
Moore, D. R. J., Breton, R. L., DeLong, T. R., Ferson, S., Lortie, J. P., MacDonald, D. B., . . . Aslund, M. W. (2016). Ecological Risk Assessment for Mink and Short-Tailed Shrew Exposed to PCBs, Dioxins, and Furans in the Housatonic River Area. INTEGRATED ENVIRONMENTAL ASSESSMENT AND MANAGEMENT, 12(1), 174-184. doi:10.1002/ieam.1661DOI: 10.1002/ieam.1661
2015
Accounting for uncertainty in DNA sequencing data (Journal article)
O Rawe, J., Ferson, S., & Lyon, G. (2015). Accounting for uncertainty in DNA sequencing data. Trends in Genetics, 31(2), 61-66. doi:10.1016/j.tig.2014.12.002DOI: 10.1016/j.tig.2014.12.002
Natural language of uncertainty: Numeric hedge words (Journal article)
Ferson, S., O Rawe, J., Antonenko, A., Siegrist, J., Mickley, J., C Luhmann, C., . . . Finkel, A. (2015). Natural language of uncertainty: Numeric hedge words. International Journal of Approximate Reasoning, 57, 19-39. doi:10.1016/j.ijar.2014.11.003DOI: 10.1016/j.ijar.2014.11.003
2014
Computing with Confidence: Imprecise Posteriors and Predictive Distributions (Conference Paper)
Ferson, S., O'Rawe, J., & Balch, M. (2014). Computing with Confidence: Imprecise Posteriors and Predictive Distributions. In Vulnerability, Uncertainty, and Risk (pp. 895-904). American Society of Civil Engineers. doi:10.1061/9780784413609.091DOI: 10.1061/9780784413609.091
2013
Data Anonymization that Leads to the Most Accurate Estimates of Statistical Characteristics: Fuzzy-Motivated Approach (Conference Paper)
Xiang, G., Ferson, S., Ginzburg, L., Longpre, L., Mayorga, E., & Kosheleva, O. (2013). Data Anonymization that Leads to the Most Accurate Estimates of Statistical Characteristics: Fuzzy-Motivated Approach. In PROCEEDINGS OF THE 2013 JOINT IFSA WORLD CONGRESS AND NAFIPS ANNUAL MEETING (IFSA/NAFIPS) (pp. 611-616). Retrieved from https://www.webofscience.com/
The Relationship Between Mindful Parenting and Distress in Parents of Children with an Autism Spectrum Disorder (Journal article)
Beer, M., Ward, L., & Moar, K. (2013). The Relationship Between Mindful Parenting and Distress in Parents of Children with an Autism Spectrum Disorder. MINDFULNESS, 4(2), 102-112. doi:10.1007/s12671-012-0192-4DOI: 10.1007/s12671-012-0192-4
Imprecise probabilities in engineering analyses (Journal article)
Beer, M., Ferson, S., & Kreinovich, V. (2013). Imprecise probabilities in engineering analyses. MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 37(1-2), 4-29. doi:10.1016/j.ymssp.2013.01.024DOI: 10.1016/j.ymssp.2013.01.024
Special issue of Mechanical Systems and Signal Processing "Imprecise probabilities-What can they add to engineering analyses?" Foreword (Journal article)
Beer, M., & Ferson, S. (2013). Special issue of Mechanical Systems and Signal Processing "Imprecise probabilities-What can they add to engineering analyses?" Foreword. MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 37(1-2), 1-3. doi:10.1016/j.ymssp.2013.03.018DOI: 10.1016/j.ymssp.2013.03.018
Computing with confidence (Conference Paper)
Ferson, S., Balch, M., Sentz, K., & Siegrist, J. (2013). Computing with confidence. In ISIPTA 2013 - Proceedings of the 8th International Symposium on Imprecise Probability: Theories and Applications (pp. 129-138).
2012
Commentary: IUCN classifications under uncertainty (Journal article)
Akcakaya, H. R., Ferson, S., Burgman, M. A., Keith, D. A., Mace, G. M., & Todd, C. R. (2012). Commentary: IUCN classifications under uncertainty. ENVIRONMENTAL MODELLING & SOFTWARE, 38, 119-121. doi:10.1016/j.envsoft.2012.05.009DOI: 10.1016/j.envsoft.2012.05.009
Uncertainty and Sensitivity Analysis: From Regulatory Requirements to Conceptual Structure and Computational Implementation (Conference Paper)
Helton, J. C., & Sallaberry, C. J. (2012). Uncertainty and Sensitivity Analysis: From Regulatory Requirements to Conceptual Structure and Computational Implementation. In Unknown Conference (pp. 60-77). Springer Berlin Heidelberg. doi:10.1007/978-3-642-32677-6_5DOI: 10.1007/978-3-642-32677-6_5
Discussion (Conference Paper)
Ferson, S., Helton, J., Kahan, W., Pascual, P., Goldstein, M., & O'Hagan, A. (2012). Discussion. In IFIP Advances in Information and Communication Technology Vol. 377 AICT (pp. 117-122). doi:10.1007/978-3-642-32677-6_7DOI: 10.1007/978-3-642-32677-6_7
Verified Computation with Probabilities (Conference Paper)
Ferson, S., & Siegrist, J. (2012). Verified Computation with Probabilities. In Unknown Conference (pp. 95-122). Springer Berlin Heidelberg. doi:10.1007/978-3-642-32677-6_7DOI: 10.1007/978-3-642-32677-6_7
2011
Structural Reliability Assessment with Fuzzy Probabilities (Conference Paper)
Beer, M., Zhang, M., Tong, Q. S., & Ferson, S. (2011). Structural Reliability Assessment with Fuzzy Probabilities. In ISIPTA '11 - PROCEEDINGS OF THE SEVENTH INTERNATIONAL SYMPOSIUM ON IMPRECISE PROBABILITY: THEORIES AND APPLICATIONS (pp. 61-70). Retrieved from https://www.webofscience.com/
Probabilistic bounding analysis in the Quantification of Margins and Uncertainties (Journal article)
Sentz, K., & Ferson, S. (2011). Probabilistic bounding analysis in the Quantification of Margins and Uncertainties. RELIABILITY ENGINEERING & SYSTEM SAFETY, 96(9), 1126-1136. doi:10.1016/j.ress.2011.02.014DOI: 10.1016/j.ress.2011.02.014
Fuzzy Probability in Engineering Analyses (Conference Paper)
Beer, M., & Ferson, S. (2011). Fuzzy Probability in Engineering Analyses. In Vulnerability, Uncertainty, and Risk. American Society of Civil Engineers. doi:10.1061/41170(400)7DOI: 10.1061/41170(400)7
Statistic Inference under Two Structurally Different Approaches to Interval Data (Conference Paper)
Ferson, S., & Siegrist, J. (2011). Statistic Inference under Two Structurally Different Approaches to Interval Data. In Vulnerability, Uncertainty, and Risk. American Society of Civil Engineers. doi:10.1061/41170(400)4DOI: 10.1061/41170(400)4
Statistically Detecting Clustering for Rare Events (Conference Paper)
Siegrist, J., Ferson, S., Goode, J., & Grimson, R. (2011). Statistically Detecting Clustering for Rare Events. In Vulnerability, Uncertainty, and Risk. American Society of Civil Engineers. doi:10.1061/41170(400)64DOI: 10.1061/41170(400)64
Uncertainty Arithmetic on Excel Spreadsheets: Add-In for Intervals, Probability Distributions, and Probability Boxes (Conference Paper)
Ferson, S., Mickley, J., & McGill, W. (2011). Uncertainty Arithmetic on Excel Spreadsheets: Add-In for Intervals, Probability Distributions, and Probability Boxes. In Vulnerability, Uncertainty, and Risk. American Society of Civil Engineers. doi:10.1061/41170(400)9DOI: 10.1061/41170(400)9
Probability Bounds Analysis for Nonlinear Dynamic Process Models (Journal article)
Enszer, J. A., Lin, Y., Ferson, S., Corliss, G. F., & Stadtherr, M. A. (2011). Probability Bounds Analysis for Nonlinear Dynamic Process Models. AICHE JOURNAL, 57(2), 404-422. doi:10.1002/aic.12278DOI: 10.1002/aic.12278
2010
Bounding uncertainty analyses (Chapter)
Ferson, S., Moore, D. R. J., Van den Brink, P. J., Estes, T. L., Gallagher, K., O'Connor, R., & Verdonck, F. (2010). Bounding uncertainty analyses. In Application of Uncertainty Analysis to Ecological Risks of Pesticides (pp. 89-122).
How to detect and avoid pitfalls, traps, and swindles (Chapter)
Joermann, G., La Point, T. W., Burns, L. A., Carbone, J. P., Delorme, P. D., Ferson, S., . . . Traas, T. P. (2010). How to detect and avoid pitfalls, traps, and swindles. In Application of Uncertainty Analysis to Ecological Risks of Pesticides (pp. 155-163).
Introduction and objectives (Chapter)
Hart, A., Farrar, D., Urban, D., Fischer, D., Point, T. L., Romijn, K., & Ferson, S. (2010). Introduction and objectives. In Application of Uncertainty Analysis to Ecological Risks of Pesticides (pp. 1-10).
Problem formulation for probabilistic ecological risk assessments (Chapter)
Hart, A., Ferson, S., Shaw, J., Suter, G. W., Chapman, P. F., de Fur, P. L., . . . Jones, P. D. (2010). Problem formulation for probabilistic ecological risk assessments. In Application of Uncertainty Analysis to Ecological Risks of Pesticides (pp. 11-30).
2009
Trade-off between sample size and accuracy: Case of measurements under interval uncertainty (Journal article)
Nguyen, H. T., Kosheleva, O., Kreinovich, V., & Ferson, S. (2009). Trade-off between sample size and accuracy: Case of measurements under interval uncertainty. INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 50(8), 1164-1176. doi:10.1016/j.ijar.2009.06.013DOI: 10.1016/j.ijar.2009.06.013
Validation of imprecise probability models (Journal article)
Ferson, S., & Oberkampf, W. L. (2009). Validation of imprecise probability models. International Journal of Reliability and Safety, 3(1/2/3), 3. doi:10.1504/ijrs.2009.026832DOI: 10.1504/ijrs.2009.026832
2008
Trade-off between sample size and accuracy: Case of dynamic measurements under interval uncertainty (Conference Paper)
Nguyen, H. T., Kosheleva, O., Kreinovich, V., & Ferson, S. (2008). Trade-off between sample size and accuracy: Case of dynamic measurements under interval uncertainty. In INTERVAL / PROBABILISTIC UNCERTAINTY AND NON-CLASSICAL LOGICS Vol. 46 (pp. 45-+). Retrieved from https://www.webofscience.com/
How to measure a degree of mismatch between probability models, p-boxes, etc.:: A decision-theory-motivated utility-based approach (Conference Paper)
Longpre, L., Ferson, S., & Tucker, W. T. (2008). How to measure a degree of mismatch between probability models, p-boxes, etc.:: A decision-theory-motivated utility-based approach. In 2008 ANNUAL MEETING OF THE NORTH AMERICAN FUZZY INFORMATION PROCESSING SOCIETY, VOLS 1 AND 2 (pp. 540-545). Retrieved from https://www.webofscience.com/
Probability boxes as info-gap models (Conference Paper)
Ferson, S., & Tucker, W. T. (2008). Probability boxes as info-gap models. In 2008 ANNUAL MEETING OF THE NORTH AMERICAN FUZZY INFORMATION PROCESSING SOCIETY, VOLS 1 AND 2 (pp. 625-630). Retrieved from https://www.webofscience.com/
Model validation and predictive capability for the thermal challenge problem (Conference Paper)
Ferson, S., Oberkampf, W. L., & Ginzburg, L. (2008). Model validation and predictive capability for the thermal challenge problem. In COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING Vol. 197 (pp. 2408-2430). doi:10.1016/j.cma.2007.07.030DOI: 10.1016/j.cma.2007.07.030
A frequency/consequence-based technique for visualizing and communicating uncertainty and perception of risk (Conference Paper)
Siavin, D., Tucker, W. T., & Ferson, S. (2008). A frequency/consequence-based technique for visualizing and communicating uncertainty and perception of risk. In STRATEGIES FOR RISK COMMUNICATION: EVOLUTION, EVIDENCE, EXPERIENCE Vol. 1128 (pp. 63-77). doi:10.1196/annals.1399.008DOI: 10.1196/annals.1399.008
Evolved altruism, strong reciprocity, and perception of risk (Conference Paper)
Tucker, W. T., & Ferson, S. (2008). Evolved altruism, strong reciprocity, and perception of risk. In STRATEGIES FOR RISK COMMUNICATION: EVOLUTION, EVIDENCE, EXPERIENCE Vol. 1128 (pp. 111-120). doi:10.1196/annals.1399.012DOI: 10.1196/annals.1399.012
Strategies for risk communication - Evolution, evidence, experience (Conference Paper)
Tucker, W. T., & Ferson, S. (2008). Strategies for risk communication - Evolution, evidence, experience. In STRATEGIES FOR RISK COMMUNICATION: EVOLUTION, EVIDENCE, EXPERIENCE Vol. 1128 (pp. IX-XII). doi:10.1196/annals.1399.000DOI: 10.1196/annals.1399.000
Trade-off between sample size and accuracy: Case of static measurements under interval uncertainty (Conference Paper)
Nguyen, H. T., & Kreinovich, V. (2008). Trade-off between sample size and accuracy: Case of static measurements under interval uncertainty. In INTERVAL / PROBABILISTIC UNCERTAINTY AND NON-CLASSICAL LOGICS Vol. 46 (pp. 32-+). Retrieved from https://www.webofscience.com/
2007
Fitting a normal distribution to interval and fuzzy data (Conference Paper)
Xiang, G., Kreinovich, V., & Ferson, S. (2007). Fitting a normal distribution to interval and fuzzy data. In NAFIPS 2007 - 2007 ANNUAL MEETING OF THE NORTH AMERICAN FUZZY INFORMATION PROCESSING SOCIETY (pp. 560-+). doi:10.1109/NAFIPS.2007.383901DOI: 10.1109/NAFIPS.2007.383901
Interval versions of statistical techniques with applications to environmental analysis, bioinformatics, and privacy in statistical databases (Conference Paper)
Kreinovich, V., Longpre, L., Starks, S. A., Xiang, G., Beck, J., Kandathi, R., . . . Hajagos, J. (2007). Interval versions of statistical techniques with applications to environmental analysis, bioinformatics, and privacy in statistical databases. In JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS Vol. 199 (pp. 418-423). doi:10.1016/j.cam.2005.07.041DOI: 10.1016/j.cam.2005.07.041
2006
Sensitivity analysis using probability bounding (Journal article)
Ferson, S., & Tucker, W. T. (2006). Sensitivity analysis using probability bounding. RELIABILITY ENGINEERING & SYSTEM SAFETY, 91(10-11), 1435-1442. doi:10.1016/j.ress.2005.11.052DOI: 10.1016/j.ress.2005.11.052
Varying correlation coefficients can underestimate uncertainty in probabilistic models (Conference Paper)
Ferson, S., & Hajagos, J. G. (2006). Varying correlation coefficients can underestimate uncertainty in probabilistic models. In RELIABILITY ENGINEERING & SYSTEM SAFETY Vol. 91 (pp. 1461-1467). doi:10.1016/j.ress.2005.11.043DOI: 10.1016/j.ress.2005.11.043
Computing mean and variance under Dempster-Shafer uncertainty: Towards faster algorithms (Journal article)
Kreinovich, V., Xiang, G., & Ferson, S. (2006). Computing mean and variance under Dempster-Shafer uncertainty: Towards faster algorithms. INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 42(3), 212-227. doi:10.1016/j.ijar.2005.12.001DOI: 10.1016/j.ijar.2005.12.001
Computing best-possible bounds for the distribution of a sum of several variables is NP-hard (Journal article)
Kreinovich, V., & Ferson, S. (2006). Computing best-possible bounds for the distribution of a sum of several variables is NP-hard. INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 41(3), 331-342. doi:10.1016/j.ijar.2005.06.009DOI: 10.1016/j.ijar.2005.06.009
Adding Constraints to Situations When, In Addition to Intervals,We Also Have Partial Information about Probabilities (Conference Paper)
Ceberio, M., Kreinovich, V., Xiang, G., Ferson, S., & Joslyn, C. (2006). Adding Constraints to Situations When, In Addition to Intervals,We Also Have Partial Information about Probabilities. In 12th GAMM - IMACS International Symposium on Scientific Computing, Computer Arithmetic and Validated Numerics (SCAN 2006). IEEE. doi:10.1109/scan.2006.7DOI: 10.1109/scan.2006.7
2005
How the concept of information as average number of "yes"-"no" questions (bits) can be extended to intervals, p-boxes, and more general uncertainty (Conference Paper)
Kreinovich, V., Xiang, G., & Ferson, S. (2005). How the concept of information as average number of "yes"-"no" questions (bits) can be extended to intervals, p-boxes, and more general uncertainty. In NAFIPS 2005 - 2005 Annual Meeting of the North American Fuzzy Information Processing Society (pp. 80-85). doi:10.1109/NAFIPS.2005.1548512DOI: 10.1109/NAFIPS.2005.1548512
Case study part 1: How to calculate appropriate deterministic long-term toxicity to exposure ratios (TERs) for birds and mammals (Journal article)
Shore, R. F., Crocker, D. R., Akcakaya, H. R., Bennett, R. S., Chapman, P. F., Clook, M., . . . Topping, C. (2005). Case study part 1: How to calculate appropriate deterministic long-term toxicity to exposure ratios (TERs) for birds and mammals. ECOTOXICOLOGY, 14(8), 877-893. doi:10.1007/s10646-005-0034-4DOI: 10.1007/s10646-005-0034-4
Case study part 2: Probabitistic modelling of long-term effects of pesticides on individual breeding success in birds and mammals (Journal article)
Roelofs, W., Crocker, D. R., Shore, R. F., Moore, D. R. J., Smith, G. C., Akcakaya, H. R., . . . Topping, C. (2005). Case study part 2: Probabitistic modelling of long-term effects of pesticides on individual breeding success in birds and mammals. ECOTOXICOLOGY, 14(8), 895-923. doi:10.1007/s10646-005-0035-3DOI: 10.1007/s10646-005-0035-3
Exact Bounds on Finite Populations of Interval Data (Journal article)
Ferson, S., Ginzburg, L., Kreinovich, V., Longpré, L., & Aviles, M. (2005). Exact Bounds on Finite Populations of Interval Data. Reliable Computing, 11(3), 207-233. doi:10.1007/s11155-005-3616-1DOI: 10.1007/s11155-005-3616-1
Outlier Detection under Interval Uncertainty: Algorithmic Solvability and Computational Complexity (Journal article)
Kreinovich, V., Longpr�, L., Patangay, P., Ferson, S., & Ginzburg, L. (2005). Outlier Detection under Interval Uncertainty: Algorithmic Solvability and Computational Complexity. Reliable Computing, 11(1), 59-76. doi:10.1007/s11155-005-5943-7DOI: 10.1007/s11155-005-5943-7
2004
A feasible algorithm for locating concave and convex zones of interval data and its use in statistics-based clustering (Journal article)
Kreinovich, V., Pauwels, E. J., Ferson, S. A., & Ginzburg, L. (2004). A feasible algorithm for locating concave and convex zones of interval data and its use in statistics-based clustering. NUMERICAL ALGORITHMS, 37(1-4), 225-232. doi:10.1023/B:NUMA.0000049469.02043.24DOI: 10.1023/B:NUMA.0000049469.02043.24
A new Cauchy-based black-box technique for uncertainty in risk analysis (Journal article)
Kreinovich, V., & Ferson, S. A. (2004). A new Cauchy-based black-box technique for uncertainty in risk analysis. RELIABILITY ENGINEERING & SYSTEM SAFETY, 85(1-3), 267-279. doi:10.1016/j.ress.2004.03.016DOI: 10.1016/j.ress.2004.03.016
Arithmetic with uncertain numbers: rigorous and (often) best possible answers (Journal article)
Ferson, S., & Hajagos, J. G. (2004). Arithmetic with uncertain numbers: rigorous and (often) best possible answers. RELIABILITY ENGINEERING & SYSTEM SAFETY, 85(1-3), 135-152. doi:10.1016/j.ress.2004.03.008DOI: 10.1016/j.ress.2004.03.008
Challenge problems: uncertainty in system response given uncertain parameters (Journal article)
Oberkampf, W. L., Helton, J. C., Joslyn, C. A., Wojtkiewicz, S. F., & Ferson, S. (2004). Challenge problems: uncertainty in system response given uncertain parameters. RELIABILITY ENGINEERING & SYSTEM SAFETY, 85(1-3), 11-19. doi:10.1016/j.ress.2004.03.002DOI: 10.1016/j.ress.2004.03.002
Summary from the epistemic uncertainty workshop: consensus amid diversity (Journal article)
Ferson, S., Joslyn, C. A., Helton, J. C., Oberkampf, W. L., & Sentz, K. (2004). Summary from the epistemic uncertainty workshop: consensus amid diversity. RELIABILITY ENGINEERING & SYSTEM SAFETY, 85(1-3), 355-369. doi:10.1016/j.ress.2004.03.023DOI: 10.1016/j.ress.2004.03.023
Equivalence of methods for uncertainty propagation of real-valued random variables (Journal article)
Regan, H. M., Ferson, S., & Berleant, D. (2004). Equivalence of methods for uncertainty propagation of real-valued random variables. INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 36(1), 1-30. doi:10.1016/j.ijar.2003.07.013DOI: 10.1016/j.ijar.2003.07.013
Probabilities, intervals, what next? extension of interval computations to situations with partial information about probabilities (Conference Paper)
Krenovich, V., Solopchenko, G. N., Ferson, S. A., Ginzburg, L., & Aló, R. (2004). Probabilities, intervals, what next? extension of interval computations to situations with partial information about probabilities. In 10th IMEKO TC7 Symposium on Advances of Measurement Science 2004 (pp. 130-135).
2003
(Journal article)
Kreinovich, V., Ferson, S., & Ginzburg, L. (2003). Unknown Title. Reliable Computing, 9(6), 441-463. doi:10.1023/a:1025841220835DOI: 10.1023/a:1025841220835
(Journal article)
Berleant, D., Cheong, M. -P., Chu, C., Guan, Y., Kamal, A., Shedblé, G., . . . Peters, J. F. (2003). Unknown Title. Reliable Computing, 9(6), 407-418. doi:10.1023/a:1025888503247DOI: 10.1023/a:1025888503247
Reliability of risk analyses for contaminated groundwater (Conference Paper)
Ferson, S., & Tucker, W. T. (2003). Reliability of risk analyses for contaminated groundwater. In GROUNDWATER QUALITY MODELING AND MANAGEMENT UNDER UNCERTAINTY (pp. 226-235). Retrieved from https://www.webofscience.com/
Setting cleanup targets in a probabilistic assessment (Conference Paper)
Tucker, W. T., Myers, D. S., & Ferson, S. (2003). Setting cleanup targets in a probabilistic assessment. In GROUNDWATER QUALITY MODELING AND MANAGEMENT UNDER UNCERTAINTY (pp. 23-33). Retrieved from https://www.webofscience.com/
Detecting and explaining rare event-clusters in sparse data sets: Some initial results (Journal article)
Ricci, P. F., & Ferson, S. (2003). Detecting and explaining rare event-clusters in sparse data sets: Some initial results. Technology: Journal of the Franklin Institute, 9(1-2), 85-94.
Outlier detection under interval and fuzzy uncertainty:: Algorithmic solvability and computational complexity (Conference Paper)
Kreinovich, V., Patangay, P., Longpré, L., Starks, S. A., Campos, C., Ferson, S., & Ginzburg, L. (2003). Outlier detection under interval and fuzzy uncertainty:: Algorithmic solvability and computational complexity. In NAFIPS'2003: 22ND INTERNATIONAL CONFERENCE OF THE NORTH AMERICAN FUZZY INFORMATION PROCESSING SOCIETY - NAFIPS PROCEEDINGS (pp. 401-406). Retrieved from https://www.webofscience.com/
Outlier detection under interval uncertainty:: Algorithmic solvability and computational complexity (Conference Paper)
Kreinovich, V., Longpré, L., Patangay, P., Ferson, S., & Ginzburg, L. (2003). Outlier detection under interval uncertainty:: Algorithmic solvability and computational complexity. In LARGE-SCALE SCIENTIFIC COMPUTING Vol. 2907 (pp. 238-245). Retrieved from https://www.webofscience.com/
Realism and relevance of ecological models used in chemical risk assessment (Journal article)
Bartell, S. M., Pastorok, R. A., Akçakaya, H. R., Regan, H., Ferson, S., & Mackay, C. (2003). Realism and relevance of ecological models used in chemical risk assessment. HUMAN AND ECOLOGICAL RISK ASSESSMENT, 9(4), 907-938. doi:10.1080/713610016DOI: 10.1080/713610016
Role of ecological modeling in risk assessment (Journal article)
Pastorok, R. A., Akçakaya, H. R., Regan, H., Ferson, S., & Bartell, S. M. (2003). Role of ecological modeling in risk assessment. HUMAN AND ECOLOGICAL RISK ASSESSMENT, 9(4), 939-972. doi:10.1080/713610017DOI: 10.1080/713610017
Treatments of uncertainty and variability in ecological risk assessment of single-species populations (Journal article)
Regan, H. M., Akçakaya, H. R., Ferson, S., Root, K. V., Carroll, S., & Ginzburg, L. R. (2003). Treatments of uncertainty and variability in ecological risk assessment of single-species populations. HUMAN AND ECOLOGICAL RISK ASSESSMENT, 9(4), 889-906. doi:10.1080/713610015DOI: 10.1080/713610015
2002
Uncertainty in risk analysis: Towards a general second-order approach combining interval, probabilistic, and fuzzy techniques (Conference Paper)
Ferson, S., Ginzburg, L., Kreinovich, V., Nguyen, H. T., & Starks, S. A. (2002). Uncertainty in risk analysis: Towards a general second-order approach combining interval, probabilistic, and fuzzy techniques. In PROCEEDINGS OF THE 2002 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOL 1 & 2 (pp. 1342-1347). Retrieved from https://www.webofscience.com/
Analysis and portrayal of uncertainty in a food-web exposure model (Journal article)
Regan, H. M., Hope, B. Y., & Ferson, S. (2002). Analysis and portrayal of uncertainty in a food-web exposure model. HUMAN AND ECOLOGICAL RISK ASSESSMENT, 8(7), 1757-1777. doi:10.1080/20028091057592DOI: 10.1080/20028091057592
Computing variance for interval data is NP-hard (Journal article)
Ferson, S., Ginzburg, L., Kreinovich, V., Longpré, L., & Aviles, M. (2002). Computing variance for interval data is NP-hard. ACM SIGACT News, 33(2), 108-118. doi:10.1145/564585.564604DOI: 10.1145/564585.564604
Comparison of deterministic and probabilistic calculation of ecological soil screening levels (Journal article)
Regan, H. M., Sample, B. E., & Ferson, S. (2002). Comparison of deterministic and probabilistic calculation of ecological soil screening levels. ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY, 21(4), 882-890. doi:2.0.CO;2">10.1897/1551-5028(2002)021<0882:CODAPC>2.0.CO;2DOI: 10.1897/1551-5028(2002)021<0882:CODAPC>2.0.CO;2
Combination rules in Dempster-Shafer theory (Conference Paper)
Sentz, K., & Ferson, S. (2002). Combination rules in Dempster-Shafer theory. In 6TH WORLD MULTICONFERENCE ON SYSTEMICS, CYBERNETICS AND INFORMATICS, VOL XVI, PROCEEDINGS (pp. 191-196). Retrieved from https://www.webofscience.com/
From computation with guaranteed intervals to computation with confidence intervals: A new application of fuzzy techniques (Conference Paper)
Kreinovich, V., Nguyen, H. T., Ferson, S., & Ginzburg, L. (2002). From computation with guaranteed intervals to computation with confidence intervals: A new application of fuzzy techniques. In 2002 ANNUAL MEETING OF THE NORTH AMERICAN FUZZY INFORMATION PROCESSING SOCIETY PROCEEDINGS (pp. 418-423). doi:10.1109/NAFIPS.2002.1018096DOI: 10.1109/NAFIPS.2002.1018096
Probability bounds with uncertain input distributions and correlations (Conference Paper)
Ferson, S., & Tucker, W. T. (2002). Probability bounds with uncertain input distributions and correlations. In 6TH WORLD MULTICONFERENCE ON SYSTEMICS, CYBERNETICS AND INFORMATICS, VOL XVI, PROCEEDINGS (pp. 186-190). Retrieved from https://www.webofscience.com/
(Journal article)
Oberkampf, W., Helton, J., Wojtkiewicz, S., Joslyn, C., & Ferson, S. (2002). Unknown Title. Reliable Computing, 8(6), 503-505. doi:10.1023/a:1021372829139DOI: 10.1023/a:1021372829139
2001
Checking for errors in calculations and software: Dimensional balance and conformance of units (Journal article)
Ferson, S. (2001). Checking for errors in calculations and software: Dimensional balance and conformance of units. Accountability in Research, 8(3), 261-279. doi:10.1080/08989620108573978DOI: 10.1080/08989620108573978
Is it a crime to belong to a reference class? (Journal article)
Colyvan, M., Regan, H. M., & Ferson, S. (2001). Is it a crime to belong to a reference class?. JOURNAL OF POLITICAL PHILOSOPHY, 9(2), 168-181. doi:10.1111/1467-9760.00123DOI: 10.1111/1467-9760.00123
Setting reliability bounds on habitat suitability indices (Journal article)
Burgman, M. A., Breininger, D. R., Duncan, B. W., & Ferson, S. (2001). Setting reliability bounds on habitat suitability indices. ECOLOGICAL APPLICATIONS, 11(1), 70-78. doi:10.2307/3061056DOI: 10.2307/3061056
Temporal variability and ignorance in Monte Carlo contaminant bioaccumulation models:: A case study with selenium in <i>Mytilus edulis</i> (Journal article)
Spencer, M., Fisher, N. S., Wang, W. X., & Ferson, S. (2001). Temporal variability and ignorance in Monte Carlo contaminant bioaccumulation models:: A case study with selenium in <i>Mytilus edulis</i>. RISK ANALYSIS, 21(2), 383-394. doi:10.1111/0272-4332.212119DOI: 10.1111/0272-4332.212119
2000
Probability Bounds Analysis Solves the Problem of Incomplete Specification in Probabilistic Risk and Safety Assessments (Conference Paper)
Ferson, S. (2001). Probability Bounds Analysis Solves the Problem of Incomplete Specification in Probabilistic Risk and Safety Assessments. In Risk-Based Decisionmaking in Water Resources IX. American Society of Civil Engineers. doi:10.1061/40577(306)16DOI: 10.1061/40577(306)16
Predicting recovery of a fish population after heavy metal impacts (Journal article)
Crutchfield, J., & Ferson, S. (2000). Predicting recovery of a fish population after heavy metal impacts. Environmental Science & Policy, 3, 183-189. doi:10.1016/s1462-9011(00)00049-6DOI: 10.1016/s1462-9011(00)00049-6
Making consistent IUCN classifications under uncertainty (Journal article)
Akçakaya, H. R., Ferson, S., Burgman, M. A., Keith, D. A., Mace, G. M., & Todd, C. R. (2000). Making consistent IUCN classifications under uncertainty. CONSERVATION BIOLOGY, 14(4), 1001-1013. doi:10.1046/j.1523-1739.2000.99125.xDOI: 10.1046/j.1523-1739.2000.99125.x
Issues related to the detection of boundaries (Journal article)
Fortin, M. J., Olson, R. J., Ferson, S., Iverson, L., Hunsaker, C., Edwards, G., . . . Klemas, V. (2000). Issues related to the detection of boundaries. LANDSCAPE ECOLOGY, 15(5), 453-466. doi:10.1023/A:1008194205292DOI: 10.1023/A:1008194205292
1999
New mathematical derivations applicable to safety and reliability analysis (Conference Paper)
Cooper, J. A., & Ferson, S. (1999). New mathematical derivations applicable to safety and reliability analysis. In SAFETY AND RELIABILITY, VOLS 1 & 2 (pp. 975-980). Retrieved from https://www.webofscience.com/
Using fuzzy intervals to represent measurement error and scientific uncertainty in endangered species classification (Conference Paper)
Ferson, S., Akcakaya, H. R., & Dunham, A. (1999). Using fuzzy intervals to represent measurement error and scientific uncertainty in endangered species classification. In 18TH INTERNATIONAL CONFERENCE OF THE NORTH AMERICAN FUZZY INFORMATION PROCESSING SOCIETY - NAFIPS (pp. 690-694). doi:10.1109/NAFIPS.1999.781782DOI: 10.1109/NAFIPS.1999.781782
When and how can you specify a probability distribution when you don't know much? II - Foundations (Conference Paper)
Anderson, E. L., Hattis, D., Matalas, N., Bier, V., Kaplan, S., Burmaster, D., . . . Ferson, S. (1999). When and how can you specify a probability distribution when you don't know much? II - Foundations. In RISK ANALYSIS Vol. 19 (pp. 47-68). doi:10.1023/A:1006954210333DOI: 10.1023/A:1006954210333
1998
Deconvolution can reduce uncertainty in risk assessment (Conference Paper)
Ferson, S., & Long, T. F. (1998). Deconvolution can reduce uncertainty in risk assessment. In RISK ASSESSMENT: LOGIC AND MEASUREMENT (pp. 325-336). Retrieved from https://www.webofscience.com/
Detecting rare event clustering in very sparse data sets (Conference Paper)
Hwang, K., & Ferson, S. (1998). Detecting rare event clustering in very sparse data sets. In PROBABILISTIC SAFETY ASSESSMENT AND MANAGEMENT (PSAM 4), VOLS 1-4 (pp. 1235-1240). Retrieved from https://www.webofscience.com/
Fuzzy regression in fisheries science: Some methods and applications (Conference Paper)
Saila, S. B., & Ferson, S. (1998). Fuzzy regression in fisheries science: Some methods and applications. In FISHERY STOCK ASSESSMENT MODELS Vol. 15 (pp. 339-354). Retrieved from https://www.webofscience.com/
Probability bounds analysis (Conference Paper)
Ferson, S., & Donald, S. (1998). Probability bounds analysis. In PROBABILISTIC SAFETY ASSESSMENT AND MANAGEMENT (PSAM 4), VOLS 1-4 (pp. 1203-1208). Retrieved from https://www.webofscience.com/
1996
Hybrid processing of stochastic and subjective uncertainty data (Journal article)
Cooper, J. A., Ferson, S., & Ginzburg, L. (1996). Hybrid processing of stochastic and subjective uncertainty data. RISK ANALYSIS, 16(6), 785-791. doi:10.1111/j.1539-6924.1996.tb00829.xDOI: 10.1111/j.1539-6924.1996.tb00829.x
Different methods are needed to propagate ignorance and variability (Journal article)
Ferson, S., & Ginzburg, L. R. (1996). Different methods are needed to propagate ignorance and variability. RELIABILITY ENGINEERING & SYSTEM SAFETY, 54(2-3), 133-144. doi:10.1016/S0951-8320(96)00071-3DOI: 10.1016/S0951-8320(96)00071-3
Inferring ecological risk from toxicity bioassays (Conference Paper)
Ferson, S., Ginzburg, L. R., & Goldstein, R. A. (1996). Inferring ecological risk from toxicity bioassays. In WATER AIR AND SOIL POLLUTION Vol. 90 (pp. 71-82). doi:10.1007/BF00619269DOI: 10.1007/BF00619269
Judgment under uncertainty: Evolution may not favor a probabilistic calculus (Journal article)
Ginzburg, L. R., Janson, C., & Ferson, S. (1996). Judgment under uncertainty: Evolution may not favor a probabilistic calculus. BEHAVIORAL AND BRAIN SCIENCES, 19(1), 24-+. doi:10.1017/S0140525X0004125XDOI: 10.1017/S0140525X0004125X
Automated quality assurance checks on model structure in ecological risk assessments (Journal article)
Ferson, S. (1996). Automated quality assurance checks on model structure in ecological risk assessments. HUMAN AND ECOLOGICAL RISK ASSESSMENT, 2(3), 558-569. doi:10.1080/10807039609383632DOI: 10.1080/10807039609383632
Logistic sensitivity and bounds for extinction risks (Conference Paper)
McCarthy, M. A., Burgman, M. A., & Ferson, S. (1996). Logistic sensitivity and bounds for extinction risks. In ECOLOGICAL MODELLING Vol. 86 (pp. 297-303). doi:10.1016/0304-3800(95)00067-4DOI: 10.1016/0304-3800(95)00067-4
What Monte Carlo methods cannot do (Journal article)
Ferson, S. (1996). What Monte Carlo methods cannot do. HUMAN AND ECOLOGICAL RISK ASSESSMENT, 2(4), 990-1007. doi:10.1080/10807039609383659DOI: 10.1080/10807039609383659
1995
Hybrid arithmetic (Conference Paper)
Ferson, S., & Ginzburg, L. (1995). Hybrid arithmetic. In Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS (pp. 619-623).
Quality assurance for Monte Carlo risk assessment (Conference Paper)
Ferson, S. (1995). Quality assurance for Monte Carlo risk assessment. In Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS (pp. 14-19).
INFERRING THREAT FROM SCIENTIFIC COLLECTIONS (Journal article)
BURGMAN, M. A., GRIMSON, R. C., & FERSON, S. (1995). INFERRING THREAT FROM SCIENTIFIC COLLECTIONS. CONSERVATION BIOLOGY, 9(4), 923-928. doi:10.1046/j.1523-1739.1995.09040923.xDOI: 10.1046/j.1523-1739.1995.09040923.x
CONSERVATIVE UNCERTAINTY PROPAGATION IN ENVIRONMENTAL RISK ASSESSMENTS (Conference Paper)
FERSON, S., & LONG, T. F. (1995). CONSERVATIVE UNCERTAINTY PROPAGATION IN ENVIRONMENTAL RISK ASSESSMENTS. In ENVIRONMENTAL TOXICOLOGY AND RISK ASSESSMENT: THIRD VOLUME Vol. 1218 (pp. 97-110). doi:10.1520/STP12686SDOI: 10.1520/STP12686S
CORRELATIONS, DEPENDENCY BOUNDS AND EXTINCTION RISKS (Journal article)
FERSON, S., & BURGMAN, M. A. (1995). CORRELATIONS, DEPENDENCY BOUNDS AND EXTINCTION RISKS. BIOLOGICAL CONSERVATION, 73(2), 101-105. doi:10.1016/0006-3207(95)00047-8DOI: 10.1016/0006-3207(95)00047-8
SENSITIVITY ANALYSIS FOR MODELS OF POPULATION VIABILITY (Journal article)
MCCARTHY, M. A., BURGMAN, M. A., & FERSON, S. (1995). SENSITIVITY ANALYSIS FOR MODELS OF POPULATION VIABILITY. BIOLOGICAL CONSERVATION, 73(2), 93-100. doi:10.1016/0006-3207(95)00046-7DOI: 10.1016/0006-3207(95)00046-7
The effect of the initial age-class distribution on extinction risks: Implications for the reintroduction of Leadbeater's Possum (Conference Paper)
BURGICIAN, M., FERSON, S., & LINDENMAYER, D. (1995). The effect of the initial age-class distribution on extinction risks: Implications for the reintroduction of Leadbeater's Possum. In REINTRODUCTION BIOLOGY OF AUSTRALIAN AND NEW ZEALAND FAUNA (pp. 15-20). Retrieved from https://www.webofscience.com/
1994
RESPONSE OF PLANTS TO INTERACTING STRESSES (ROPIS) - PROGRAM RATIONALE, DESIGN, AND IMPLICATIONS (Journal article)
GOLDSTEIN, R., & FERSON, S. (1994). RESPONSE OF PLANTS TO INTERACTING STRESSES (ROPIS) - PROGRAM RATIONALE, DESIGN, AND IMPLICATIONS. JOURNAL OF ENVIRONMENTAL QUALITY, 23(3), 407-411. doi:10.2134/jeq1994.00472425002300030002xDOI: 10.2134/jeq1994.00472425002300030002x
1992
ASSESSING THE EFFECT OF COMPENSATION ON THE RISK OF POPULATION DECLINE AND EXTINCTION (Conference Paper)
GINZBURG, L. R., & FERSON, S. (1992). ASSESSING THE EFFECT OF COMPENSATION ON THE RISK OF POPULATION DECLINE AND EXTINCTION. In ESTUARINE RESEARCH IN THE 1980S (pp. 392-403). Retrieved from https://www.webofscience.com/
INTEGRATION OF ENVIRONMENTAL-MODELS IN A GEOGRAPHICAL SPREADSHEET (Conference Paper)
DOWNER, R., KURTZ, C., & FERSON, S. (1992). INTEGRATION OF ENVIRONMENTAL-MODELS IN A GEOGRAPHICAL SPREADSHEET. In COMPUTER TECHNIQUES IN ENVIRONMENTAL STUDIES IV (pp. 797-804). Retrieved from https://www.webofscience.com/
PROPAGATING UNCERTAINTY IN ECOLOGICAL RISK ANALYSIS USING INTERVAL AND FUZZY ARITHMETIC (Conference Paper)
FERSON, S., & KUHN, R. (1992). PROPAGATING UNCERTAINTY IN ECOLOGICAL RISK ANALYSIS USING INTERVAL AND FUZZY ARITHMETIC. In COMPUTER TECHNIQUES IN ENVIRONMENTAL STUDIES IV (pp. 387-401). Retrieved from https://www.webofscience.com/
QUANTITATIVE SOFTWARE TOOLS FOR CONSERVATION BIOLOGY (Conference Paper)
FERSON, S., & AKCAKAYA, H. R. (1992). QUANTITATIVE SOFTWARE TOOLS FOR CONSERVATION BIOLOGY. In COMPUTER TECHNIQUES IN ENVIRONMENTAL STUDIES IV (pp. 371-386). Retrieved from https://www.webofscience.com/
USING FUZZY ARITHMETIC IN MONTE-CARLO SIMULATION OF FISHERY POPULATIONS (Conference Paper)
FERSON, S. (1992). USING FUZZY ARITHMETIC IN MONTE-CARLO SIMULATION OF FISHERY POPULATIONS. In MANAGEMENT STRATEGIES FOR EXPLOITED FISH POPULATIONS Vol. 10 (pp. 595-608). Retrieved from https://www.webofscience.com/
1990
RECONSTRUCTIBILITY OF DENSITY DEPENDENCE AND THE CONSERVATIVE ASSESSMENT OF EXTINCTION RISKS (Journal article)
GINZBURG, L. R., FERSON, S., & AKCAKAYA, H. R. (1990). RECONSTRUCTIBILITY OF DENSITY DEPENDENCE AND THE CONSERVATIVE ASSESSMENT OF EXTINCTION RISKS. CONSERVATION BIOLOGY, 4(1), 63-70. doi:10.1111/j.1523-1739.1990.tb00268.xDOI: 10.1111/j.1523-1739.1990.tb00268.x
THE DANGERS OF BEING FEW - DEMOGRAPHIC RISK ANALYSIS FOR RARE SPECIES EXTINCTION (Conference Paper)
FERSON, S., & BURGMAN, M. A. (1990). THE DANGERS OF BEING FEW - DEMOGRAPHIC RISK ANALYSIS FOR RARE SPECIES EXTINCTION. In ECOSYSTEM MANAGEMENT : RARE SPECIES AND SIGNIFICANT HABITS Vol. 471 (pp. 129-132). Retrieved from https://www.webofscience.com/
1989
EXTREME EVENT RISK ANALYSIS FOR AGE-STRUCTURED POPULATIONS (Journal article)
FERSON, S., GINZBURG, L., & SILVERS, A. (1989). EXTREME EVENT RISK ANALYSIS FOR AGE-STRUCTURED POPULATIONS. ECOLOGICAL MODELLING, 47(1-2), 175-187. doi:10.1016/0304-3800(89)90116-6DOI: 10.1016/0304-3800(89)90116-6
1987
PUTTING THINGS IN ORDER - A CRITIQUE OF DETRENDED CORRESPONDENCE-ANALYSIS (Journal article)
WARTENBERG, D., FERSON, S., & ROHLF, F. J. (1987). PUTTING THINGS IN ORDER - A CRITIQUE OF DETRENDED CORRESPONDENCE-ANALYSIS. AMERICAN NATURALIST, 129(3), 434-448. doi:10.1086/284647DOI: 10.1086/284647
1986
COMPETING REVIEWS, OR WHY DO CONNELL AND SCHOENER DISAGREE (Journal article)
FERSON, S., DOWNEY, P., KLERKS, P., WEISSBURG, M., KROOT, I., STEWART, S., . . . ANDERSON, K. (1986). COMPETING REVIEWS, OR WHY DO CONNELL AND SCHOENER DISAGREE. AMERICAN NATURALIST, 127(4), 571-576. doi:10.1086/284505DOI: 10.1086/284505
DO SYMBIOTIC PEA CRABS DECREASE GROWTH-RATE IN MUSSELS (Journal article)
BIERBAUM, R. M., & FERSON, S. (1986). DO SYMBIOTIC PEA CRABS DECREASE GROWTH-RATE IN MUSSELS. BIOLOGICAL BULLETIN, 170(1), 51-61. doi:10.2307/1541380DOI: 10.2307/1541380
1985
MEASURING SHAPE VARIATION OF TWO-DIMENSIONAL OUTLINES (Journal article)
FERSON, S., ROHLF, F. J., & KOEHN, R. K. (1985). MEASURING SHAPE VARIATION OF TWO-DIMENSIONAL OUTLINES. SYSTEMATIC ZOOLOGY, 34(1), 59-68. doi:10.2307/2413345DOI: 10.2307/2413345
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