Online introductions to Nonparametric Bayes tend to be highly technical and mathematically involved. We attempted to simplify the concept for those with fundamental probability and statistical backgrounds, to increase awareness of a blossoming field of statistical machine learning research.
A lecture by Param Damle, Andrew Chaphiv, and Orian Churney
CS 4501 Statistical Learning and Graphical Models, Fall 2022
References
Simons Institute. Nonparametric Bayesian Methods: Models, Algorithms, and Applications I.
https://www.youtube.com/watch?v=I7bgrZjoRhM
Simons Institute. Nonparametric Bayesian Methods: Models, Algorithms, and Applications II.
https://www.youtube.com/watch?v=yfLoxwjCGNY
Richardson, R., & Hartman, B. (2018). Bayesian nonparametric regression models for modeling and predicting Healthcare claims. Insurance: Mathematics and Economics, 83, 1–8. https://doi.org/10.1016/j.insmatheco.2018.06.002
Fall, M. D. (2019). Bayesian Nonparametrics and Biostatistics: The Case of PET Imaging. The International Journal of Biostatistics, 15(2). https://doi.org/10.1515/ijb-2017-0099