Graphical models provide a unifying language for representing multivariate dependencies by encoding variables as nodes and statistical relationships as edges. Degree sequence analysis focuses on the ...

Probabilistic graphical models are a powerful technique for handling uncertainty in machine learning. The course will cover how probability distributions can be represented in graphical models, how ...

We know that correlation does not imply causation, but careful analyses of correlations are often our only way to quantify cause and effect in domains ranging from healthcare to education. This ...

Case Study: The Impact of an Interest Rate Hike on Mortgage Default Rates Graphical models are a marriage between probability theory and graph theory. They provide a natural tool for dealing with two ...