Statistics

Undergraduate

• Statistical Inference for Everyone (Brian Blais): Accessible introductory open textbook on statistical inference.

• Bayesian Methods (Robert Piche): Accessible introductory course on Bayesian inference and methods, with worked examples in WinBUGS

Postgraduate

• Statistical Inference. (George Casella, Roger L. Berger): Classic textbook on statistical inference.

Advanced Topics

• Bayesian Methods for Statistical Analysis (Borek Puza): Short course on Bayesian methods, with worked examples in R

• Expection-maximization Algorithms (Brendan J. Frey, Nebojsa Jojic): Unified framework of expectation-maximization algorithms

• Variational Inference (David M. Blei, Alp Kuculkelbir, Jon D. McAuliffe): Tutorial for statisticians

• Variational Autoencoder (Diederik P. Kingma, Max Welling): Framework for combing statistical models and deep learning