2023
An O(log<sub>2</sub> N) SMC<sup>2</sup> Algorithm on Distributed Memory with an Approx. Optimal L-Kernel (Conference Paper)
Rosato, C., Varsi, A., Murphy, J., & Maskell, S. (2023). An O(log<sub>2</sub> N) SMC<sup>2</sup> Algorithm on Distributed Memory with an Approx. Optimal L-Kernel. In 2023 IEEE Symposium Sensor Data Fusion and International Conference on Multisensor Fusion and Integration (SDF-MFI). IEEE. doi:10.1109/sdf-mfi59545.2023.10361452DOI: 10.1109/sdf-mfi59545.2023.10361452
Rosato, C. (2023, October 11). Disease Surveillance using Bayesian Methods.
Rosato, C., Moore, R. E., Carter, M., Heap, J., Harris, J., Storopoli, J., & Maskell, S. (2023). Extracting Self-Reported COVID-19 Symptom Tweets and Twitter Movement Mobility Origin/Destination Matrices to Inform Disease Models. Information, 14(3), 170. doi:10.3390/info14030170DOI: 10.3390/info14030170
2022
Moore, R. E., Rosato, C., & Maskell, S. (2022). Refining epidemiological forecasts with simple scoring rules. PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 380(2233). doi:10.1098/rsta.2021.0305DOI: 10.1098/rsta.2021.0305
Inference of Stochastic Disease Transmission Models Using Particle-MCMC and a Gradient Based Proposal (Conference Paper)
Rosato, C., Harris, J., Panovska-Griffiths, J., & Maskell, S. (2022). Inference of Stochastic Disease Transmission Models Using Particle-MCMC and a Gradient Based Proposal. In 2022 25TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION 2022). Retrieved from https://www.webofscience.com/
Maskell, S., Devlin, L., Beraud, V., Horridge, P., & Rosato, C. (2022). Efficient Learning of the Parameters of Non-Linear Models using Differentiable Resampling in Particle Filters. IEEE Transactions on Signal Processing.
2021
Efficient Learning of the Parameters of Non-Linear Models using Differentiable Resampling in Particle Filters. (Journal article)
Rosato, C., Horridge, P. R., Schön, T. B., & Maskell, S. (2021). Efficient Learning of the Parameters of Non-Linear Models using Differentiable Resampling in Particle Filters.. CoRR, abs/2111.01409.