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