Work Package 3 - Data Analysis

Data Analysis was the focus of the 3rd Work Package. LIV.DAT’s approach to such analyses was dominated by the development of efficient numerical (i.e. MC-related) Bayesian inference techniques.

Bayesian inference techniques are a broad class of approaches that offer an ability to answer closed questions that complements Deep Learning’s ability to answer open questions.

The following projects were part of this Work Package.