## Posts tagged ABC

31 May 2022 - Approximate Bayesian Computation

## Posts tagged Aesara

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

02 August 2022 - How to debug a model

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

## Posts tagged BART

21 December 2021 - Bayesian Additive Regression Trees: Introduction

## Posts tagged Bayes Factors

01 June 2022 - Bayes Factors and Marginal Likelihood

## Posts tagged Bayesian workflow

02 April 2022 - Model building and expansion for golf putting

## Posts tagged CO2

07 April 2022 - Gaussian Process for CO2 at Mauna Loa

## Posts tagged JAX

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

## Posts tagged PCA

19 March 2022 - Factor analysis

## Posts tagged Reinforcement Learning

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

## Posts tagged SMC

31 May 2022 - Approximate Bayesian Computation

19 October 2021 - Sequential Monte Carlo

## Posts tagged Simpson's paradox

07 March 2022 - Simpson’s paradox and mixed models

## Posts tagged ab test

23 May 2021 - Introduction to Bayesian A/B Testing

## Posts tagged autoregressive

20 October 2022 - Forecasting with Structural AR Timeseries

## Posts tagged bayesian structural timeseries

20 October 2022 - Forecasting with Structural AR Timeseries

## Posts tagged binned data

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

## Posts tagged binomial regression

07 February 2022 - Binomial regression

## Posts tagged case study

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

17 June 2022 - Stochastic Volatility model

17 April 2022 - NBA Foul Analysis with Item Response Theory

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

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

23 May 2021 - Introduction to Bayesian A/B Testing

## Posts tagged causal impact

07 October 2022 - Interrupted time series analysis

## Posts tagged causal inference

07 October 2022 - Interrupted time series analysis

07 September 2022 - Difference in differences

07 April 2022 - Regression discontinuity design analysis

## Posts tagged censored

07 September 2022 - Bayesian regression with truncated or censored data

07 May 2022 - Censored Data Models

## Posts tagged classification

07 April 2022 - Gaussian Mixture Model

## Posts tagged count data

## Posts tagged counterfactuals

07 October 2022 - Interrupted time series analysis

07 September 2022 - Difference in differences

07 April 2022 - Regression discontinuity design analysis

## Posts tagged cox process

## Posts tagged cross validation

08 January 2022 - GLM: Model Selection

## Posts tagged debugging

02 August 2022 - How to debug a model

## Posts tagged diagnostics

31 May 2022 - Sampler Statistics

07 February 2018 - Diagnosing Biased Inference with Divergences

## Posts tagged difference in differences

07 September 2022 - Difference in differences

## Posts tagged external likelihood

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

## Posts tagged extreme

27 September 2022 - Generalized Extreme Value Distribution

## Posts tagged factor analysis

19 March 2022 - Factor analysis

## Posts tagged forecasting

20 October 2022 - Forecasting with Structural AR Timeseries

07 October 2022 - Interrupted time series analysis

## Posts tagged gaussian process

07 October 2022 - Kronecker Structured Covariances

31 July 2022 - Gaussian Processes using numpy kernel

07 April 2022 - Gaussian Process for CO2 at Mauna Loa

22 March 2022 - Mean and Covariance Functions

## Posts tagged gaussian processes

28 September 2022 - Gaussian Processes: Latent Variable Implementation

## Posts tagged generalized linear model

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

07 September 2022 - Bayesian regression with truncated or censored data

07 June 2022 - Rolling Regression

07 June 2022 - GLM: Negative Binomial Regression

17 April 2022 - NBA Foul Analysis with Item Response Theory

07 February 2022 - Binomial regression

08 January 2022 - GLM: Model Selection

11 November 2021 - Hierarchical Binomial Model: Rat Tumor Example

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

## Posts tagged hidden markov model

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

## Posts tagged hierarchical model

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

17 April 2022 - NBA Foul Analysis with Item Response Theory

19 March 2022 - A Hierarchical model for Rugby prediction

07 March 2022 - Simpson’s paradox and mixed models

11 November 2021 - Hierarchical Binomial Model: Rat Tumor Example

07 October 2021 - Hierarchical Partial Pooling

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

07 February 2018 - Diagnosing Biased Inference with Divergences

## Posts tagged hypothesis testing

07 January 2022 - Bayesian Estimation Supersedes the T-Test

## Posts tagged inference

27 September 2022 - Generalized Extreme Value Distribution

## Posts tagged jax

30 September 2022 - Pathfinder Variational Inference

## Posts tagged latent gaussian process

## Posts tagged linear model

07 March 2022 - Simpson’s paradox and mixed models

25 September 2021 - Multivariate Gaussian Random Walk

07 August 2013 - GLM: Robust Linear Regression

## Posts tagged loo

08 January 2022 - GLM: Model Selection

## Posts tagged matrix factorization

19 March 2022 - Factor analysis

## Posts tagged mediation

07 February 2022 - Bayesian mediation analysis

## Posts tagged minibatch

30 May 2022 - Variational Inference: Bayesian Neural Networks

## Posts tagged mixture model

07 April 2022 - Gaussian Mixture Model

08 January 2022 - Dirichlet mixtures of multinomials

18 September 2021 - Marginalized Gaussian Mixture Model

16 September 2021 - Dirichlet process mixtures for density estimation

## Posts tagged model averaging

07 August 2022 - Model Averaging

## Posts tagged model comparison

07 August 2022 - Model Averaging

01 June 2022 - Bayes Factors and Marginal Likelihood

08 January 2022 - GLM: Model Selection

07 January 2022 - Bayesian Estimation Supersedes the T-Test

## Posts tagged model expansion

02 April 2022 - Model building and expansion for golf putting

## Posts tagged moderation

07 March 2022 - Bayesian moderation analysis

## Posts tagged multi-output

## Posts tagged negative binomial regression

07 June 2022 - GLM: Negative Binomial Regression

## Posts tagged neural networks

30 May 2022 - Variational Inference: Bayesian Neural Networks

## Posts tagged non-parametric

21 December 2021 - Bayesian Additive Regression Trees: Introduction

## Posts tagged nonparametric

## Posts tagged panel data

07 September 2022 - Difference in differences

## Posts tagged parameter estimation

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

## Posts tagged path analysis

07 March 2022 - Bayesian moderation analysis

07 February 2022 - Bayesian mediation analysis

## Posts tagged perceptron

30 May 2022 - Variational Inference: Bayesian Neural Networks

## Posts tagged poisson

30 November 2022 - GLM: Poisson Regression

## Posts tagged posterior predictive

27 September 2022 - Generalized Extreme Value Distribution

07 September 2022 - Difference in differences

07 March 2022 - Simpson’s paradox and mixed models

16 December 2021 - Using shared variables (Data container adaptation)

## Posts tagged product recommendation

## Posts tagged prophet

07 April 2022 - Air passengers - Prophet-like model

## Posts tagged quasi experiments

07 October 2022 - Interrupted time series analysis

07 September 2022 - Difference in differences

07 April 2022 - Regression discontinuity design analysis

## Posts tagged regression

30 November 2022 - GLM: Poisson Regression

07 September 2022 - Difference in differences

07 September 2022 - Bayesian regression with truncated or censored data

07 June 2022 - Rolling Regression

04 June 2022 - Splines

07 April 2022 - Regression discontinuity design analysis

07 March 2022 - Simpson’s paradox and mixed models

10 February 2022 - Lasso regression with block updating

07 February 2022 - Bayesian mediation analysis

21 December 2021 - Bayesian Additive Regression Trees: Introduction

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

25 September 2021 - Multivariate Gaussian Random Walk

07 August 2013 - GLM: Robust Linear Regression

## Posts tagged robust

07 August 2013 - GLM: Robust Linear Regression

## Posts tagged robust analysis

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

## Posts tagged shared data

16 December 2021 - Using shared variables (Data container adaptation)

## Posts tagged spatial

## Posts tagged sports

02 April 2022 - Model building and expansion for golf putting

19 March 2022 - A Hierarchical model for Rugby prediction

## Posts tagged survival analysis

07 May 2022 - Censored Data Models

## Posts tagged time series

07 October 2022 - Interrupted time series analysis

28 September 2022 - Gaussian Processes: Latent Variable Implementation

07 September 2022 - Difference in differences

17 June 2022 - Stochastic Volatility model

07 April 2022 - Air passengers - Prophet-like model

25 September 2021 - Multivariate Gaussian Random Walk

## Posts tagged truncated

07 September 2022 - Bayesian regression with truncated or censored data

## Posts tagged variational inference

30 September 2022 - Pathfinder Variational Inference

30 May 2022 - Variational Inference: Bayesian Neural Networks

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

## Posts tagged waic

08 January 2022 - GLM: Model Selection