What I Am Reading

• Bayes Rules! An Introduction to Applied Bayesian Modeling by Alicia A. Johnson, Miles Q. Ott and Mine Dogucu.
• Introduction To Conformal Prediction With Python by Christoph Molnar.
• Conformal Prediction: A Gentle Introduction by Anastasios N. Angelopoulos and Stephen Bates.
• Dataset Shift in Machine Learning, edited by Joaquin Quiñonero-Candela, Masashi Sugiyama, Anton Schwaighofer, and Neil D. Lawrence.
• Bayesian Modeling and Computation in Python by Osvaldo A. Martin, Ravin Kumar, and Junpeng Lao.
• High-Dimensional Statistics - A Non-Asymptotic Viewpoint by Martin J. Wainwright.