We present an overview of probabilistic modeling using multiple discrete variables. Topics include the joint probability mass function, marginal and distributions, independence, causal inference, the curse of dimensionality, and Markov chains.
Probability and statistics book: https://a.co/d/7k259eb
Website with free preprint, videos, slides and solutions to exercises: https://www.ps4ds.net
Slides for this video: https://github.com/cfgranda/ps4ds/blob/main/slides/multiple%20discrete%20variables/multiple_discrete_variables_overview_handout.pdf
Other videos on modeling multiple discrete variables: https://www.ps4ds.net/videos/multidiscrete.html
Code: https://www.ps4ds.net/code/multidiscrete.html
