## Posts tagged Aesara

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 Bayesian additive regression trees

21 December 2021 - Bayesian Additive Regression Trees: Introduction

## Posts tagged CO2

09 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 SMC

19 October 2021 - Sequential Monte Carlo

## Posts tagged Simpson's paradox

09 March 2022 - Simpson’s paradox and mixed models

## Posts tagged bayesian workflow

02 April 2022 - Model building and expansion for golf putting

## Posts tagged binned data

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

## Posts tagged binomial regression

09 February 2022 - Binomial regression

## Posts tagged case study

17 April 2022 - NBA Foul Analysis with Item Response Theory

27 February 2022 - A Primer on Bayesian Methods for Multilevel Modeling

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

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

20 September 2021 - Probabilistic Matrix Factorization for Making Personalized Recommendations

## Posts tagged causal inference

09 April 2022 - Regression discontinuity design analysis

## Posts tagged censored

09 January 2022 - Bayesian regression with truncated or censored data

## Posts tagged censoring

09 January 2022 - Bayesian regression with truncated or censored data

## Posts tagged classification

09 April 2022 - Gaussian Mixture Model

## Posts tagged counterfactuals

09 April 2022 - Regression discontinuity design analysis

## Posts tagged cross validation

08 January 2022 - GLM: Model Selection

## Posts tagged external likelihood

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

## Posts tagged factor analysis

19 March 2022 - Factor analysis

## Posts tagged gaussian process

09 April 2022 - Gaussian Process for CO2 at Mauna Loa

## Posts tagged generalized linear model

17 April 2022 - NBA Foul Analysis with Item Response Theory

09 February 2022 - Binomial regression

09 January 2022 - Bayesian regression with truncated or censored data

11 November 2021 - Hierarchical Binomial Model: Rat Tumor Example

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

15 September 2021 - Rolling Regression

## Posts tagged generalized linear models

08 January 2022 - GLM: Model Selection

## Posts tagged hidden markov model

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

## Posts tagged hierarchical

19 March 2022 - A Hierarchical model for Rugby prediction

## Posts tagged hierarchical model

17 April 2022 - NBA Foul Analysis with Item Response Theory

09 March 2022 - Simpson’s paradox and mixed models

27 February 2022 - A Primer on Bayesian Methods for Multilevel Modeling

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

## Posts tagged hypothesis testing

07 January 2022 - Bayesian Estimation Supersedes the T-Test

## Posts tagged linear model

09 March 2022 - Simpson’s paradox and mixed models

25 September 2021 - Multivariate Gaussian Random Walk

## Posts tagged loo

08 January 2022 - GLM: Model Selection

## Posts tagged matrix factorization

19 March 2022 - Factor analysis

## Posts tagged mediation

09 February 2022 - Bayesian mediation analysis

## Posts tagged mixture model

09 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 comparison

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

09 March 2022 - Bayesian moderation analysis

## Posts tagged multi level model

09 March 2022 - Simpson’s paradox and mixed models

## Posts tagged non-parametric

21 December 2021 - Bayesian Additive Regression Trees: Introduction

## Posts tagged parameter estimation

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

## Posts tagged path analysis

09 March 2022 - Bayesian moderation analysis

09 February 2022 - Bayesian mediation analysis

## Posts tagged patsy

06 May 2022 - Splines in PyMC3

## Posts tagged pca

19 March 2022 - Factor analysis

## Posts tagged posterior predictive

09 March 2022 - Simpson’s paradox and mixed models

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

## Posts tagged predictions

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

## Posts tagged pymc.Beta

07 October 2021 - Hierarchical Partial Pooling

## Posts tagged pymc.Binomial

09 February 2022 - Binomial regression

07 October 2021 - Hierarchical Partial Pooling

## Posts tagged pymc.ConstantData

09 February 2022 - Binomial regression

## Posts tagged pymc.Deterministic

06 May 2022 - Splines in PyMC3

09 February 2022 - Binomial regression

07 October 2021 - Hierarchical Partial Pooling

## Posts tagged pymc.Exponential

06 May 2022 - Splines in PyMC3

07 October 2021 - Hierarchical Partial Pooling

## Posts tagged pymc.Model

06 May 2022 - Splines in PyMC3

09 February 2022 - Binomial regression

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

07 October 2021 - Hierarchical Partial Pooling

## Posts tagged pymc.Normal

06 May 2022 - Splines in PyMC3

09 February 2022 - Binomial regression

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

## Posts tagged pymc.Potential

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

## Posts tagged pymc.Uniform

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

07 October 2021 - Hierarchical Partial Pooling

## Posts tagged pymc3.ADVI

20 October 2021 - Variational Inference: Bayesian Neural Networks

## Posts tagged pymc3.BART

21 December 2021 - Bayesian Additive Regression Trees: Introduction

## Posts tagged pymc3.Bernoulli

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

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

20 October 2021 - Variational Inference: Bayesian Neural Networks

## Posts tagged pymc3.Beta

11 November 2021 - Hierarchical Binomial Model: Rat Tumor Example

07 October 2021 - Hierarchical Partial Pooling

16 September 2021 - Dirichlet process mixtures for density estimation

## Posts tagged pymc3.Binomial

09 February 2022 - Binomial regression

11 November 2021 - Hierarchical Binomial Model: Rat Tumor Example

07 October 2021 - Hierarchical Partial Pooling

## Posts tagged pymc3.Bound

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

## Posts tagged pymc3.Censored

09 January 2022 - Bayesian regression with truncated or censored data

## Posts tagged pymc3.ConstantData

09 February 2022 - Binomial regression

## Posts tagged pymc3.Data

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

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

11 November 2021 - Hierarchical Binomial Model: Rat Tumor Example

20 October 2021 - Variational Inference: Bayesian Neural Networks

## Posts tagged pymc3.Deterministic

09 February 2022 - Binomial regression

07 January 2022 - Bayesian Estimation Supersedes the T-Test

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

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

11 November 2021 - Hierarchical Binomial Model: Rat Tumor Example

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

07 October 2021 - Hierarchical Partial Pooling

16 September 2021 - Dirichlet process mixtures for density estimation

## Posts tagged pymc3.Dirichlet

08 January 2022 - Dirichlet mixtures of multinomials

18 September 2021 - Marginalized Gaussian Mixture Model

## Posts tagged pymc3.DirichletMultinomial

08 January 2022 - Dirichlet mixtures of multinomials

## Posts tagged pymc3.DiscreteUniform

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

## Posts tagged pymc3.Exponential

10 February 2022 - Lasso regression with block updating

07 January 2022 - Bayesian Estimation Supersedes the T-Test

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

07 October 2021 - Hierarchical Partial Pooling

15 September 2021 - Rolling Regression

## Posts tagged pymc3.Gamma

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

18 September 2021 - Marginalized Gaussian Mixture Model

16 September 2021 - Dirichlet process mixtures for density estimation

## Posts tagged pymc3.GaussianRandomWalk

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

15 September 2021 - Rolling Regression

## Posts tagged pymc3.HalfCauchy

08 January 2022 - GLM: Model Selection

15 September 2021 - Rolling Regression

## Posts tagged pymc3.HalfNormal

09 January 2022 - Bayesian regression with truncated or censored data

21 December 2021 - Bayesian Additive Regression Trees: Introduction

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

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

11 November 2021 - Hierarchical Binomial Model: Rat Tumor Example

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

25 September 2021 - Multivariate Gaussian Random Walk

15 September 2021 - Rolling Regression

## Posts tagged pymc3.InverseGamma

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

## Posts tagged pymc3.LKJCholeskyCov

25 September 2021 - Multivariate Gaussian Random Walk

## Posts tagged pymc3.Laplace

10 February 2022 - Lasso regression with block updating

## Posts tagged pymc3.Lognormal

08 January 2022 - Dirichlet mixtures of multinomials

## Posts tagged pymc3.Metropolis

10 February 2022 - Lasso regression with block updating

## Posts tagged pymc3.Minibatch

20 October 2021 - Variational Inference: Bayesian Neural Networks

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

## Posts tagged pymc3.Mixture

16 September 2021 - Dirichlet process mixtures for density estimation

## Posts tagged pymc3.Model

10 February 2022 - Lasso regression with block updating

09 February 2022 - Binomial regression

09 January 2022 - Bayesian regression with truncated or censored data

08 January 2022 - GLM: Model Selection

08 January 2022 - Dirichlet mixtures of multinomials

07 January 2022 - Bayesian Estimation Supersedes the T-Test

21 December 2021 - Bayesian Additive Regression Trees: Introduction

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

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

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

11 November 2021 - Hierarchical Binomial Model: Rat Tumor Example

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

20 October 2021 - Variational Inference: Bayesian Neural Networks

19 October 2021 - Sequential Monte Carlo

07 October 2021 - Hierarchical Partial Pooling

25 September 2021 - Multivariate Gaussian Random Walk

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

20 September 2021 - Probabilistic Matrix Factorization for Making Personalized Recommendations

18 September 2021 - Marginalized Gaussian Mixture Model

16 September 2021 - Dirichlet process mixtures for density estimation

15 September 2021 - Rolling Regression

## Posts tagged pymc3.Multinomial

08 January 2022 - Dirichlet mixtures of multinomials

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

## Posts tagged pymc3.MvGaussianRandomWalk

25 September 2021 - Multivariate Gaussian Random Walk

## Posts tagged pymc3.MvNormal

20 September 2021 - Probabilistic Matrix Factorization for Making Personalized Recommendations

## Posts tagged pymc3.NUTS

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

## Posts tagged pymc3.Normal

10 February 2022 - Lasso regression with block updating

09 February 2022 - Binomial regression

09 January 2022 - Bayesian regression with truncated or censored data

08 January 2022 - GLM: Model Selection

07 January 2022 - Bayesian Estimation Supersedes the T-Test

21 December 2021 - Bayesian Additive Regression Trees: Introduction

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

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

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

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

20 October 2021 - Variational Inference: Bayesian Neural Networks

25 September 2021 - Multivariate Gaussian Random Walk

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

20 September 2021 - Probabilistic Matrix Factorization for Making Personalized Recommendations

18 September 2021 - Marginalized Gaussian Mixture Model

16 September 2021 - Dirichlet process mixtures for density estimation

15 September 2021 - Rolling Regression

## Posts tagged pymc3.NormalMixture

18 September 2021 - Marginalized Gaussian Mixture Model

16 September 2021 - Dirichlet process mixtures for density estimation

## Posts tagged pymc3.Poisson

21 December 2021 - Bayesian Additive Regression Trees: Introduction

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

## Posts tagged pymc3.Potential

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

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

11 November 2021 - Hierarchical Binomial Model: Rat Tumor Example

19 October 2021 - Sequential Monte Carlo

## Posts tagged pymc3.Slice

10 February 2022 - Lasso regression with block updating

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

## Posts tagged pymc3.StudentT

07 January 2022 - Bayesian Estimation Supersedes the T-Test

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

## Posts tagged pymc3.TruncatedNormal

09 January 2022 - Bayesian regression with truncated or censored data

## Posts tagged pymc3.Uniform

10 February 2022 - Lasso regression with block updating

07 January 2022 - Bayesian Estimation Supersedes the T-Test

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

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

19 October 2021 - Sequential Monte Carlo

07 October 2021 - Hierarchical Partial Pooling

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

## Posts tagged pymc3.sample_smc

19 October 2021 - Sequential Monte Carlo

## Posts tagged quasi experimental design

09 April 2022 - Regression discontinuity design analysis

## Posts tagged regression

06 May 2022 - Splines in PyMC3

09 April 2022 - Regression discontinuity design analysis

09 March 2022 - Simpson’s paradox and mixed models

10 February 2022 - Lasso regression with block updating

09 February 2022 - Bayesian mediation analysis

09 January 2022 - Bayesian regression with truncated or censored data

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

15 September 2021 - Rolling 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 spline

06 May 2022 - Splines in PyMC3

## Posts tagged sports

02 April 2022 - Model building and expansion for golf putting

19 March 2022 - A Hierarchical model for Rugby prediction

## Posts tagged time series

25 September 2021 - Multivariate Gaussian Random Walk

## Posts tagged truncated

09 January 2022 - Bayesian regression with truncated or censored data

## Posts tagged truncation

09 January 2022 - Bayesian regression with truncated or censored data

## Posts tagged variational inference

20 October 2021 - 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