Bayesian methods in the physical sciences (with applications to cosmology)

Andrew Liddle
University of Edinburgh, UK

Abstract: Bayesian data analysis provides a robust framework for interpreting data and testing physical models. I outline the main principles of such analyses. While the methodology is broadly applicable across all sciences, I demonstrate it with some explicit examples in contemporary cosmology.