## Posts tagged

15 January 2024 - Baby Births Modelling with HSGPs

15 September 2023 - GLM: Negative Binomial Regression

15 April 2023 - Regression Models with Ordered Categorical Outcomes

31 July 2022 - Gaussian Processes using numpy kernel

31 May 2022 - General API quickstart

15 March 2022 - Bayesian moderation analysis

15 February 2022 - Binomial regression

08 January 2022 - Dirichlet mixtures of multinomials

07 January 2022 - Bayesian Estimation Supersedes the T-Test

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

15 May 2024 - Categorical regression

25 January 2023 - Quantile Regression with BART

15 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

15 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

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

## 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

15 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

## Posts tagged bart

15 January 2024 - Bayesian Non-parametric Causal Inference

## Posts tagged bayesian imputation

15 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

15 February 2022 - Binomial regression

## Posts tagged calibration

15 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

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

15 June 2023 - Discrete Choice and Random Utility Models

## Posts tagged causal impact

15 October 2022 - Interrupted time series analysis

## Posts tagged causal inference

15 October 2022 - Interrupted time series analysis

15 September 2022 - Difference in differences

15 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

15 January 2023 - Reliability Statistics and Predictive Calibration

15 September 2022 - Bayesian regression with truncated or censored data

15 May 2022 - Censored Data Models

## Posts tagged classification

15 April 2022 - Gaussian Mixture Model

## Posts tagged competing risks

15 November 2023 - Frailty and Survival Regression Models

## Posts tagged copula

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

## 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

## Posts tagged counterfactuals

15 October 2022 - Interrupted time series analysis

15 September 2022 - Difference in differences

15 April 2022 - Regression discontinuity design analysis

## Posts tagged cox process

## Posts tagged cross validation

08 January 2022 - GLM: Model Selection

## Posts tagged debiased machine learning

15 January 2024 - Bayesian Non-parametric Causal Inference

## 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

15 February 2018 - Diagnosing Biased Inference with Divergences

## Posts tagged difference in differences

15 September 2022 - Difference in differences

## Posts tagged discrete choice

15 June 2023 - Discrete Choice and Random Utility Models

## Posts tagged do-operator

## 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

15 October 2022 - Interrupted time series analysis

## Posts tagged frailty models

15 November 2023 - Frailty and Survival Regression Models

## Posts tagged gaussian process

15 October 2022 - Kronecker Structured Covariances

31 July 2022 - Gaussian Processes using numpy kernel

15 April 2022 - Gaussian Process for CO2 at Mauna Loa

22 March 2022 - Mean and Covariance Functions

## Posts tagged gaussian processes

10 June 2024 - Gaussian Processes: HSGP Reference & First Steps

15 January 2024 - Baby Births Modelling with HSGPs

06 June 2023 - Gaussian Processes: Latent Variable Implementation

04 June 2023 - Marginal Likelihood Implementation

## Posts tagged generalized linear model

15 December 2023 - Out-Of-Sample Predictions

15 September 2023 - GLM: Negative Binomial Regression

15 June 2023 - Discrete Choice and Random Utility Models

15 April 2023 - Regression Models with Ordered Categorical Outcomes

28 January 2023 - Rolling Regression

10 January 2023 - Hierarchical Binomial Model: Rat Tumor Example

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

15 September 2022 - Bayesian regression with truncated or censored data

17 April 2022 - NBA Foul Analysis with Item Response Theory

15 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

15 April 2023 - Longitudinal Models of Change

15 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

15 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

15 March 2022 - Simpson’s paradox and mixed models

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

15 February 2018 - Diagnosing Biased Inference with Divergences

## Posts tagged hilbert space approximation

15 January 2024 - Baby Births Modelling with HSGPs

## 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

15 March 2022 - Simpson’s paradox and mixed models

## Posts tagged logistic regression

15 December 2023 - Out-Of-Sample Predictions

## Posts tagged longitudinal

15 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

15 January 2024 - Bayesian Non-parametric Causal Inference

15 February 2022 - Bayesian mediation analysis

## Posts tagged minibatch

30 May 2022 - Variational Inference: Bayesian Neural Networks

## Posts tagged missing data

15 February 2023 - Bayesian Missing Data Imputation

## Posts tagged mixture model

20 January 2024 - Automatic marginalization of discrete variables

15 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

15 August 2022 - Model Averaging

## Posts tagged model comparison

15 November 2023 - Frailty and Survival Regression Models

10 January 2023 - Bayes Factors and Marginal Likelihood

15 August 2022 - Model Averaging

08 January 2022 - GLM: Model Selection

07 January 2022 - Bayesian Estimation Supersedes the T-Test

## Posts tagged model expansion

15 June 2023 - Discrete Choice and Random Utility Models

02 April 2022 - Model building and expansion for golf putting

## Posts tagged moderation

15 March 2022 - Bayesian moderation analysis

## Posts tagged multi-output

## Posts tagged negative binomial regression

15 September 2023 - 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

15 April 2023 - Regression Models with Ordered Categorical Outcomes

## Posts tagged out of sample predictions

15 December 2023 - Out-Of-Sample Predictions

## Posts tagged outliers

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

## Posts tagged panel data

15 September 2022 - Difference in differences

## Posts tagged parameter estimation

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

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

## Posts tagged path analysis

15 March 2022 - Bayesian moderation analysis

15 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

15 September 2022 - Difference in differences

15 March 2022 - Simpson’s paradox and mixed models

16 December 2021 - Using Data Containers

## Posts tagged prediction

15 January 2023 - Reliability Statistics and Predictive Calibration

## Posts tagged product recommendation

## Posts tagged propensity scores

15 January 2024 - Bayesian Non-parametric Causal Inference

## Posts tagged prophet

15 April 2022 - Air passengers - Prophet-like model

## Posts tagged quantile

25 January 2023 - Quantile Regression with BART

## Posts tagged quasi experiments

15 October 2022 - Interrupted time series analysis

15 September 2022 - Difference in differences

15 April 2022 - Regression discontinuity design analysis

## Posts tagged regression

15 May 2024 - Categorical regression

02 February 2023 - Multivariate Gaussian Random Walk

28 January 2023 - Rolling Regression

25 January 2023 - Quantile Regression with BART

15 January 2023 - Modeling Heteroscedasticity with BART

10 January 2023 - GLM: Robust Linear Regression

30 November 2022 - GLM: Poisson Regression

15 September 2022 - Difference in differences

15 September 2022 - Bayesian regression with truncated or censored data

04 June 2022 - Splines

15 April 2022 - Regression discontinuity design analysis

15 March 2022 - Simpson’s paradox and mixed models

15 February 2022 - Bayesian mediation analysis

10 February 2022 - Lasso regression with block updating

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

## 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

15 November 2023 - Frailty and Survival Regression Models

17 January 2023 - Reparameterizing the Weibull Accelerated Failure Time Model

17 January 2023 - Bayesian Survival Analysis

15 January 2023 - Reliability Statistics and Predictive Calibration

15 May 2022 - Censored Data Models

## Posts tagged time series

06 June 2023 - Gaussian Processes: Latent Variable Implementation

04 June 2023 - Marginal Likelihood Implementation

15 April 2023 - Longitudinal Models of Change

02 February 2023 - Multivariate Gaussian Random Walk

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

15 November 2022 - Bayesian Vector Autoregressive Models

15 October 2022 - Interrupted time series analysis

15 September 2022 - Difference in differences

17 June 2022 - Stochastic Volatility model

15 April 2022 - Air passengers - Prophet-like model

## Posts tagged time-to-failure

15 January 2023 - Reliability Statistics and Predictive Calibration

## Posts tagged truncated

15 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

15 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