Bayesian graphical models provide a principled framework for representing complex dependency structures among multivariate variables by combining graph theory with probabilistic inference. In these ...

Articulate the primary interpretations of probability theory and the role these interpretations play in Bayesian inference Use Bayesian inference to solve real-world statistics and data science ...

In many social sciences, such as psychology and economics, there is an ongoing debate between whether a model should be based on Normative or Process analyses. A normative model is one which asks what ...