Bayesian data analysis tools for atomic physics

Understand

We present an introduction to some concepts of Bayesian data analysis in the context of atomic physics.

• Starting from basic rules of probability, we present the Bayes' theorem and its applications.
• In particular we discuss about how to calculate simple and joint probability distributions and the Bayesian evidence, a model dependent quantity that allows to assign probabilities to different hypotheses from the analysis of a same data set.
• To give some practical examples, these methods are applied to two concrete cases.