## Posts in advanced

24 March 2022 - How to wrap a JAX function for use in PyMC

19 March 2022 - Factor analysis

08 January 2022 - Dirichlet mixtures of multinomials

16 September 2021 - Dirichlet process mixtures for density estimation

## Posts in beginner

06 May 2022 - Splines in PyMC3

09 April 2022 - Regression discontinuity design analysis

09 April 2022 - Gaussian Mixture Model

09 March 2022 - Simpson’s paradox and mixed models

09 March 2022 - Bayesian moderation analysis

10 February 2022 - Lasso regression with block updating

09 February 2022 - Binomial regression

09 February 2022 - Bayesian mediation analysis

09 January 2022 - Bayesian regression with truncated or censored data

07 January 2022 - Bayesian Estimation Supersedes the T-Test

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

25 September 2021 - Multivariate Gaussian Random Walk

## Posts in explanation

09 April 2022 - Regression discontinuity design analysis

21 December 2021 - Bayesian Additive Regression Trees: Introduction

## Posts in how-to

02 April 2022 - Model building and expansion for golf putting

24 March 2022 - How to wrap a JAX function for use in PyMC

19 March 2022 - Factor analysis

19 March 2022 - A Hierarchical model for Rugby prediction

## Posts in intermediate

17 April 2022 - NBA Foul Analysis with Item Response Theory

09 April 2022 - Gaussian Process for CO2 at Mauna Loa

02 April 2022 - Model building and expansion for golf putting

19 March 2022 - A Hierarchical model for Rugby prediction

27 February 2022 - A Primer on Bayesian Methods for Multilevel Modeling

08 January 2022 - GLM: Model Selection

21 December 2021 - Bayesian Additive Regression Trees: Introduction

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

11 November 2021 - Hierarchical Binomial Model: Rat Tumor Example

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

15 September 2021 - Rolling Regression

## Posts in tutorial

17 April 2022 - NBA Foul Analysis with Item Response Theory