## Posts in advanced

30 September 2022 - Pathfinder Variational Inference

05 August 2022 - Fitting a Reinforcement Learning Model to Behavioral Data with PyMC

31 July 2022 - Gaussian Processes using numpy kernel

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

27 September 2022 - Generalized Extreme Value Distribution

01 September 2022 - Bayesian regression with truncated or censored data

02 August 2022 - How to debug a model

17 June 2022 - Stochastic Volatility model

04 June 2022 - Splines

01 June 2022 - GLM: Negative Binomial Regression

01 June 2022 - Bayes Factors and Marginal Likelihood

31 May 2022 - Sampler Statistics

31 May 2022 - General API quickstart

31 May 2022 - Approximate Bayesian Computation

01 April 2022 - Regression discontinuity design analysis

01 April 2022 - Gaussian Mixture Model

01 March 2022 - Simpson’s paradox and mixed models

01 March 2022 - Bayesian moderation analysis

10 February 2022 - Lasso regression with block updating

01 February 2022 - Binomial regression

01 February 2022 - Bayesian mediation analysis

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

23 May 2021 - Introduction to Bayesian A/B Testing

## Posts in explanation

01 June 2022 - Bayes Factors and Marginal Likelihood

31 May 2022 - Approximate Bayesian Computation

01 April 2022 - Regression discontinuity design analysis

21 December 2021 - Bayesian Additive Regression Trees: Introduction

## Posts in how-to

30 September 2022 - Pathfinder Variational Inference

05 August 2022 - Fitting a Reinforcement Learning Model to Behavioral Data with PyMC

01 May 2022 - Censored Data Models

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

30 November 2022 - GLM: Poisson Regression

24 October 2022 - A Primer on Bayesian Methods for Multilevel Modeling

20 October 2022 - Forecasting with Structural AR Timeseries

01 October 2022 - Kronecker Structured Covariances

01 October 2022 - Interrupted time series analysis

28 September 2022 - Gaussian Processes: Latent Variable Implementation

01 September 2022 - Difference in differences

01 August 2022 - Model Averaging

01 June 2022 - Rolling Regression

30 May 2022 - Variational Inference: Bayesian Neural Networks

01 May 2022 - Censored Data Models

17 April 2022 - NBA Foul Analysis with Item Response Theory

02 April 2022 - Model building and expansion for golf putting

01 April 2022 - Gaussian Process for CO2 at Mauna Loa

01 April 2022 - Air passengers - Prophet-like model

22 March 2022 - Mean and Covariance Functions

19 March 2022 - A Hierarchical model for Rugby prediction

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

07 October 2021 - Hierarchical Partial Pooling

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

18 September 2021 - Marginalized Gaussian Mixture Model

01 February 2018 - Diagnosing Biased Inference with Divergences

## Posts in reference

28 September 2022 - Gaussian Processes: Latent Variable Implementation

22 March 2022 - Mean and Covariance Functions

## Posts in tutorial

17 April 2022 - NBA Foul Analysis with Item Response Theory

23 May 2021 - Introduction to Bayesian A/B Testing