## Posts tagged

08 April 2023 - Regression Models with Ordered Categorical Outcomes

31 July 2022 - Gaussian Processes using numpy kernel

08 June 2022 - GLM: Negative Binomial Regression

31 May 2022 - General API quickstart

08 March 2022 - Bayesian moderation analysis

08 February 2022 - Binomial regression

08 January 2022 - Dirichlet mixtures of multinomials

07 January 2022 - Bayesian Estimation Supersedes the T-Test

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

18 September 2021 - Marginalized Gaussian Mixture Model

16 September 2021 - Dirichlet process mixtures for density estimation

## Posts tagged ABC

31 May 2022 - Approximate Bayesian Computation

## Posts tagged BART

25 January 2023 - Quantile Regression with BART

08 January 2023 - Modeling Heteroscedasticity with BART

21 December 2021 - Bayesian Additive Regression Trees: Introduction

## Posts tagged Bayes Factors

10 January 2023 - Bayes Factors and Marginal Likelihood

## Posts tagged Bayesian workflow

02 April 2022 - Model building and expansion for golf putting

## Posts tagged CO2

08 April 2022 - Gaussian Process for CO2 at Mauna Loa

## Posts tagged DEMetropolis

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

## Posts tagged DEMetropolis(Z)

18 January 2023 - DEMetropolis(Z) Sampler Tuning

## Posts tagged JAX

11 July 2023 - Faster Sampling with JAX and Numba

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

## Posts tagged ODE

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

## Posts tagged PCA

19 March 2022 - Factor analysis

## Posts tagged PyTensor

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

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 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

08 March 2022 - Simpson’s paradox and mixed models

## Posts tagged ab test

23 May 2021 - Introduction to Bayesian A/B Testing

## Posts tagged approximation

13 January 2023 - Empirical Approximation overview

## Posts tagged autoregressive

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

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

20 October 2022 - Forecasting with Structural AR Timeseries

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

14 August 2020 - About Conditional Autoregressive models in PyMC

## Posts tagged bayesian imputation

08 February 2023 - Bayesian Missing Data Imputation

## 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

08 February 2022 - Binomial regression

## Posts tagged calibration

08 January 2023 - Reliability Statistics and Predictive Calibration

## 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 categorical regression

08 June 2023 - Discrete Choice and Random Utility Models

## Posts tagged causal impact

08 October 2022 - Interrupted time series analysis

## Posts tagged causal inference

08 October 2022 - Interrupted time series analysis

08 September 2022 - Difference in differences

08 April 2022 - Regression discontinuity design analysis

## Posts tagged censored

17 January 2023 - Reparameterizing the Weibull Accelerated Failure Time Model

17 January 2023 - Bayesian Survival Analysis

08 January 2023 - Reliability Statistics and Predictive Calibration

08 September 2022 - Bayesian regression with truncated or censored data

08 May 2022 - Censored Data Models

## Posts tagged classification

08 April 2022 - Gaussian Mixture Model

## Posts tagged count data

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

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

14 August 2020 - About Conditional Autoregressive models in PyMC

## Posts tagged counterfactuals

08 October 2022 - Interrupted time series analysis

08 September 2022 - Difference in differences

08 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 deployment

22 February 2023 - Using ModelBuilder class for deploying PyMC models

## Posts tagged diagnostics

31 May 2022 - Sampler Statistics

08 February 2018 - Diagnosing Biased Inference with Divergences

## Posts tagged difference in differences

08 September 2022 - Difference in differences

## Posts tagged discrete choice

08 June 2023 - Discrete Choice and Random Utility Models

## Posts tagged do-operator

## 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

08 October 2022 - Interrupted time series analysis

## Posts tagged gaussian process

08 October 2022 - Kronecker Structured Covariances

31 July 2022 - Gaussian Processes using numpy kernel

08 April 2022 - Gaussian Process for CO2 at Mauna Loa

22 March 2022 - Mean and Covariance Functions

## Posts tagged gaussian processes

06 June 2023 - Gaussian Processes: Latent Variable Implementation

04 June 2023 - Marginal Likelihood Implementation

## Posts tagged generalized linear model

08 June 2023 - Discrete Choice and Random Utility Models

08 April 2023 - Regression Models with Ordered Categorical Outcomes

28 January 2023 - Rolling Regression

10 January 2023 - Hierarchical Binomial Model: Rat Tumor Example

08 December 2022 - Out-Of-Sample Predictions

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

08 September 2022 - Bayesian regression with truncated or censored data

08 June 2022 - GLM: Negative Binomial Regression

17 April 2022 - NBA Foul Analysis with Item Response Theory

08 February 2022 - Binomial regression

08 January 2022 - GLM: Model Selection

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

## Posts tagged gradient-free inference

18 January 2023 - DEMetropolis(Z) Sampler Tuning

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

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

## Posts tagged graph mutation

## Posts tagged hidden markov model

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

## Posts tagged hierarchical

08 April 2023 - Longitudinal Models of Change

08 February 2023 - Bayesian Missing Data Imputation

## Posts tagged hierarchical model

11 July 2023 - Faster Sampling with JAX and Numba

28 January 2023 - Hierarchical Partial Pooling

10 January 2023 - Hierarchical Binomial Model: Rat Tumor Example

08 November 2022 - Bayesian Vector Autoregressive Models

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

08 March 2022 - Simpson’s paradox and mixed models

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

08 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

05 February 2023 - Pathfinder Variational Inference

## Posts tagged latent gaussian process

## Posts tagged linear model

02 February 2023 - Multivariate Gaussian Random Walk

10 January 2023 - GLM: Robust Linear Regression

08 March 2022 - Simpson’s paradox and mixed models

## Posts tagged logistic regression

08 December 2022 - Out-Of-Sample Predictions

## Posts tagged longitudinal

08 April 2023 - Longitudinal Models of Change

## Posts tagged loo

08 January 2022 - GLM: Model Selection

## Posts tagged matrix factorization

19 March 2022 - Factor analysis

## Posts tagged mediation

08 February 2022 - Bayesian mediation analysis

## Posts tagged minibatch

30 May 2022 - Variational Inference: Bayesian Neural Networks

## Posts tagged missing data

08 February 2023 - Bayesian Missing Data Imputation

## Posts tagged mixture model

08 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

08 August 2022 - Model Averaging

## Posts tagged model comparison

10 January 2023 - Bayes Factors and Marginal Likelihood

08 August 2022 - Model Averaging

08 January 2022 - GLM: Model Selection

07 January 2022 - Bayesian Estimation Supersedes the T-Test

## Posts tagged model expansion

08 June 2023 - Discrete Choice and Random Utility Models

02 April 2022 - Model building and expansion for golf putting

## Posts tagged moderation

08 March 2022 - Bayesian moderation analysis

## Posts tagged multi-output

## Posts tagged negative binomial regression

08 June 2022 - GLM: Negative Binomial Regression

## Posts tagged neural networks

30 May 2022 - Variational Inference: Bayesian Neural Networks

## Posts tagged non-parametric

25 January 2023 - Quantile Regression with BART

21 December 2021 - Bayesian Additive Regression Trees: Introduction

## Posts tagged nonparametric

## Posts tagged numba

11 July 2023 - Faster Sampling with JAX and Numba

## Posts tagged ordinal regression

08 April 2023 - Regression Models with Ordered Categorical Outcomes

## Posts tagged out of sample predictions

08 December 2022 - Out-Of-Sample Predictions

## Posts tagged outliers

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

## Posts tagged panel data

08 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

08 March 2022 - Bayesian moderation analysis

08 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

08 September 2022 - Difference in differences

08 March 2022 - Simpson’s paradox and mixed models

16 December 2021 - Using Data Containers

## Posts tagged prediction

08 January 2023 - Reliability Statistics and Predictive Calibration

## Posts tagged product recommendation

## Posts tagged prophet

08 April 2022 - Air passengers - Prophet-like model

## Posts tagged quantile

25 January 2023 - Quantile Regression with BART

## Posts tagged quasi experiments

08 October 2022 - Interrupted time series analysis

08 September 2022 - Difference in differences

08 April 2022 - Regression discontinuity design analysis

## Posts tagged regression

02 February 2023 - Multivariate Gaussian Random Walk

28 January 2023 - Rolling Regression

25 January 2023 - Quantile Regression with BART

10 January 2023 - GLM: Robust Linear Regression

08 January 2023 - Modeling Heteroscedasticity with BART

30 November 2022 - GLM: Poisson Regression

08 September 2022 - Difference in differences

08 September 2022 - Bayesian regression with truncated or censored data

04 June 2022 - Splines

08 April 2022 - Regression discontinuity design analysis

08 March 2022 - Simpson’s paradox and mixed models

10 February 2022 - Lasso regression with block updating

08 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

## Posts tagged robust

10 January 2023 - GLM: Robust Linear Regression

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

## Posts tagged scaling

11 July 2023 - Faster Sampling with JAX and Numba

## Posts tagged shared data

16 December 2021 - Using Data Containers

## Posts tagged spatial

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

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

14 August 2020 - About Conditional Autoregressive models in PyMC

## 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

17 January 2023 - Reparameterizing the Weibull Accelerated Failure Time Model

17 January 2023 - Bayesian Survival Analysis

08 January 2023 - Reliability Statistics and Predictive Calibration

08 May 2022 - Censored Data Models

## Posts tagged time series

06 June 2023 - Gaussian Processes: Latent Variable Implementation

04 June 2023 - Marginal Likelihood Implementation

08 April 2023 - Longitudinal Models of Change

02 February 2023 - Multivariate Gaussian Random Walk

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

08 November 2022 - Bayesian Vector Autoregressive Models

08 October 2022 - Interrupted time series analysis

08 September 2022 - Difference in differences

17 June 2022 - Stochastic Volatility model

08 April 2022 - Air passengers - Prophet-like model

## Posts tagged time-to-failure

08 January 2023 - Reliability Statistics and Predictive Calibration

## Posts tagged truncated

08 September 2022 - Bayesian regression with truncated or censored data

## Posts tagged variational inference

05 February 2023 - Pathfinder Variational Inference

13 January 2023 - Introduction to Variational Inference with PyMC

13 January 2023 - Empirical Approximation overview

30 May 2022 - Variational Inference: Bayesian Neural Networks

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

## Posts tagged vector autoregressive model

08 November 2022 - Bayesian Vector Autoregressive Models

## Posts tagged waic

08 January 2022 - GLM: Model Selection

## Posts tagged weibull

17 January 2023 - Reparameterizing the Weibull Accelerated Failure Time Model