## Posts in

07 January 2023 - Analysis of An AR(1) Model in PyMC

## Posts in Advanced

22 February 2023 - Using ModelBuilder class for deploying PyMC models

## Posts in advanced

02 April 2023 - Longitudinal Models of Change

05 February 2023 - Pathfinder Variational Inference

02 February 2023 - Bayesian Missing Data Imputation

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 advaned

13 January 2023 - Empirical Approximation overview

## Posts in beginner

02 April 2023 - Regression Models with Ordered Categorical Outcomes

02 February 2023 - Multivariate Gaussian Random Walk

10 January 2023 - GLM: Robust Linear Regression

10 January 2023 - Bayes Factors and Marginal Likelihood

02 January 2023 - Modeling Heteroscedasticity with BART

02 December 2022 - Out-Of-Sample Predictions

27 September 2022 - Generalized Extreme Value Distribution

02 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

02 June 2022 - GLM: Negative Binomial Regression

31 May 2022 - Sampler Statistics

31 May 2022 - General API quickstart

31 May 2022 - Approximate Bayesian Computation

02 April 2022 - Regression discontinuity design analysis

02 April 2022 - Gaussian Mixture Model

02 March 2022 - Simpson’s paradox and mixed models

02 March 2022 - Bayesian moderation analysis

10 February 2022 - Lasso regression with block updating

02 February 2022 - Binomial regression

02 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

23 May 2021 - Introduction to Bayesian A/B Testing

## Posts in explanation

25 January 2023 - Quantile Regression with BART

10 January 2023 - Bayes Factors and Marginal Likelihood

31 May 2022 - Approximate Bayesian Computation

02 April 2022 - Regression discontinuity design analysis

21 December 2021 - Bayesian Additive Regression Trees: Introduction

## Posts in how-to

05 February 2023 - Pathfinder Variational Inference

18 January 2023 - DEMetropolis(Z) Sampler Tuning

18 January 2023 - DEMetropolis and DEMetropolis(Z) Algorithm Comparisons

17 January 2023 - Reparameterizing the Weibull Accelerated Failure Time Model

17 January 2023 - Bayesian Survival Analysis

16 January 2023 - ODE Lotka-Volterra With Bayesian Inference in Multiple Ways

13 January 2023 - Introduction to Variational Inference with PyMC

13 January 2023 - Empirical Approximation overview

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

02 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

28 January 2023 - Rolling Regression

28 January 2023 - Hierarchical Partial Pooling

25 January 2023 - Quantile Regression with BART

18 January 2023 - DEMetropolis(Z) Sampler Tuning

18 January 2023 - DEMetropolis and DEMetropolis(Z) Algorithm Comparisons

17 January 2023 - Reparameterizing the Weibull Accelerated Failure Time Model

17 January 2023 - Bayesian Survival Analysis

16 January 2023 - ODE Lotka-Volterra With Bayesian Inference in Multiple Ways

13 January 2023 - Introduction to Variational Inference with PyMC

10 January 2023 - Hierarchical Binomial Model: Rat Tumor Example

07 January 2023 - Analysis of An AR(1) Model in PyMC

02 January 2023 - Reliability Statistics and Predictive Calibration

30 November 2022 - GLM: Poisson Regression

02 November 2022 - Bayesian Vector Autoregressive Models

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

20 October 2022 - Forecasting with Structural AR Timeseries

02 October 2022 - Kronecker Structured Covariances

02 October 2022 - Interrupted time series analysis

28 September 2022 - Gaussian Processes: Latent Variable Implementation

02 September 2022 - Difference in differences

02 August 2022 - Model Averaging

30 May 2022 - Variational Inference: Bayesian Neural Networks

02 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

02 April 2022 - Gaussian Process for CO2 at Mauna Loa

02 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

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

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

18 September 2021 - Marginalized Gaussian Mixture Model

02 February 2018 - Diagnosing Biased Inference with Divergences

## Posts in reference

02 April 2023 - Regression Models with Ordered Categorical Outcomes

02 April 2023 - Longitudinal Models of Change

02 January 2023 - Modeling Heteroscedasticity with BART

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