Posts in advanced

08 January 2022 - Dirichlet mixtures of multinomials

16 September 2021 - Dirichlet process mixtures for density estimation

Posts in beginner

16 December 2021 - Using shared variables (Data container adaptation)

16 December 2021 - Using a “black box” likelihood function (numpy)

19 October 2021 - Sequential Monte Carlo

08 October 2021 - Splines in PyMC3

25 September 2021 - Multivariate Gaussian Random Walk

Posts in intermediate

08 January 2022 - GLM: Model Selection

17 November 2021 - GLM: Robust Regression using Custom Likelihood for Outlier Classification

11 November 2021 - Hierarchical Binomial Model: Rat Tumor Example

09 November 2021 - A Primer on Bayesian Methods for Multilevel Modeling

23 October 2021 - Estimating parameters of a distribution from awkwardly binned data

20 October 2021 - Variational Inference: Bayesian Neural Networks

07 October 2021 - Hierarchical Partial Pooling

23 September 2021 - GLM: Mini-batch ADVI on hierarchical regression model

20 September 2021 - Probabilistic Matrix Factorization for Making Personalized Recommendations

18 September 2021 - Marginalized Gaussian Mixture Model

18 September 2021 - Gaussian Mixture Model

15 September 2021 - Rolling Regression

30 August 2021 - A Hierarchical model for Rugby prediction