## Posted in 2024

26 January 2024 - Bayesian Non-parametric Causal Inference

20 January 2024 - Automatic marginalization of discrete variables

## Posted in 2023

26 December 2023 - Out-Of-Sample Predictions

26 December 2023 - Bayesian copula estimation: Describing correlated joint distributions

26 November 2023 - Frailty and Survival Regression Models

26 September 2023 - GLM: Negative Binomial Regression

18 August 2023 - The Besag-York-Mollie Model for Spatial Data

11 July 2023 - Faster Sampling with JAX and Numba

26 June 2023 - Discrete Choice and Random Utility Models

06 June 2023 - Gaussian Processes: Latent Variable Implementation

04 June 2023 - Marginal Likelihood Implementation

26 April 2023 - Regression Models with Ordered Categorical Outcomes

26 April 2023 - Longitudinal Models of Change

26 February 2023 - Bayesian Missing Data Imputation

22 February 2023 - Using ModelBuilder class for deploying PyMC models

05 February 2023 - Pathfinder Variational Inference

02 February 2023 - Multivariate Gaussian Random Walk

28 January 2023 - Rolling Regression

28 January 2023 - Hierarchical Partial Pooling

26 January 2023 - Reliability Statistics and Predictive Calibration

26 January 2023 - Modeling Heteroscedasticity with BART

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

13 January 2023 - Empirical Approximation overview

10 January 2023 - Hierarchical Binomial Model: Rat Tumor Example

10 January 2023 - GLM: Robust Linear Regression

10 January 2023 - Bayes Factors and Marginal Likelihood

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

## Posted in 2022

30 November 2022 - GLM: Poisson Regression

26 November 2022 - Bayesian Vector Autoregressive Models

26 October 2022 - Kronecker Structured Covariances

26 October 2022 - Interrupted time series analysis

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

20 October 2022 - Forecasting with Structural AR Timeseries

27 September 2022 - Generalized Extreme Value Distribution

26 September 2022 - Difference in differences

26 September 2022 - Bayesian regression with truncated or censored data

26 August 2022 - Model Averaging

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

02 August 2022 - How to debug a model

31 July 2022 - Gaussian Processes using numpy kernel

29 July 2022 - Conditional Autoregressive (CAR) Models for Spatial Data

17 June 2022 - Stochastic Volatility model

04 June 2022 - Splines

31 May 2022 - Sampler Statistics

31 May 2022 - General API quickstart

31 May 2022 - Approximate Bayesian Computation

30 May 2022 - Variational Inference: Bayesian Neural Networks

26 May 2022 - Censored Data Models

26 April 2022 - Regression discontinuity design analysis

26 April 2022 - Gaussian Process for CO2 at Mauna Loa

26 April 2022 - Gaussian Mixture Model

26 April 2022 - Air passengers - Prophet-like model

17 April 2022 - NBA Foul Analysis with Item Response Theory

02 April 2022 - Model building and expansion for golf putting

26 March 2022 - Simpson’s paradox and mixed models

26 March 2022 - Bayesian moderation analysis

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

22 March 2022 - Mean and Covariance Functions

19 March 2022 - Factor analysis

19 March 2022 - A Hierarchical model for Rugby prediction

26 February 2022 - Binomial regression

26 February 2022 - Bayesian mediation analysis

10 February 2022 - Lasso regression with block updating

08 January 2022 - GLM: Model Selection

08 January 2022 - Dirichlet mixtures of multinomials

07 January 2022 - Bayesian Estimation Supersedes the T-Test

## Posted in 2021

21 December 2021 - Bayesian Additive Regression Trees: Introduction

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

16 December 2021 - Using Data Containers

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

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

19 October 2021 - Sequential Monte Carlo

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

18 September 2021 - Marginalized Gaussian Mixture Model

16 September 2021 - Dirichlet process mixtures for density estimation

23 May 2021 - Introduction to Bayesian A/B Testing

## Posted in 2018

26 February 2018 - Diagnosing Biased Inference with Divergences