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