Posts tagged
26 September 2023 - GLM: Negative Binomial Regression
26 April 2023 - Regression Models with Ordered Categorical Outcomes
31 July 2022 - Gaussian Processes using numpy kernel
31 May 2022 - General API quickstart
26 March 2022 - Bayesian moderation analysis
26 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
26 January 2023 - Modeling Heteroscedasticity with BART
25 January 2023 - Quantile Regression 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
26 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
26 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
26 January 2024 - Bayesian Non-parametric Causal Inference
Posts tagged bayesian imputation
26 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
26 February 2022 - Binomial regression
Posts tagged calibration
26 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
26 June 2023 - Discrete Choice and Random Utility Models
Posts tagged causal impact
26 October 2022 - Interrupted time series analysis
Posts tagged causal inference
26 October 2022 - Interrupted time series analysis
26 September 2022 - Difference in differences
26 April 2022 - Regression discontinuity design analysis
Posts tagged censored
26 January 2023 - Reliability Statistics and Predictive Calibration
17 January 2023 - Reparameterizing the Weibull Accelerated Failure Time Model
17 January 2023 - Bayesian Survival Analysis
26 September 2022 - Bayesian regression with truncated or censored data
26 May 2022 - Censored Data Models
Posts tagged classification
26 April 2022 - Gaussian Mixture Model
Posts tagged competing risks
26 November 2023 - Frailty and Survival Regression Models
Posts tagged copula
26 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
26 October 2022 - Interrupted time series analysis
26 September 2022 - Difference in differences
26 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
26 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
26 February 2018 - Diagnosing Biased Inference with Divergences
Posts tagged difference in differences
26 September 2022 - Difference in differences
Posts tagged discrete choice
26 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
26 October 2022 - Interrupted time series analysis
20 October 2022 - Forecasting with Structural AR Timeseries
Posts tagged frailty models
26 November 2023 - Frailty and Survival Regression Models
Posts tagged gaussian process
26 October 2022 - Kronecker Structured Covariances
31 July 2022 - Gaussian Processes using numpy kernel
26 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
26 December 2023 - Out-Of-Sample Predictions
26 September 2023 - GLM: Negative Binomial Regression
26 June 2023 - Discrete Choice and Random Utility Models
26 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
26 September 2022 - Bayesian regression with truncated or censored data
17 April 2022 - NBA Foul Analysis with Item Response Theory
26 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
26 April 2023 - Longitudinal Models of Change
26 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
26 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
26 March 2022 - Simpson’s paradox and mixed models
19 March 2022 - A Hierarchical model for Rugby prediction
23 September 2021 - GLM: Mini-batch ADVI on hierarchical regression model
26 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
26 March 2022 - Simpson’s paradox and mixed models
Posts tagged logistic regression
26 December 2023 - Out-Of-Sample Predictions
Posts tagged longitudinal
26 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
26 January 2024 - Bayesian Non-parametric Causal Inference
26 February 2022 - Bayesian mediation analysis
Posts tagged minibatch
30 May 2022 - Variational Inference: Bayesian Neural Networks
Posts tagged missing data
26 February 2023 - Bayesian Missing Data Imputation
Posts tagged mixture model
20 January 2024 - Automatic marginalization of discrete variables
26 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
26 August 2022 - Model Averaging
Posts tagged model comparison
26 November 2023 - Frailty and Survival Regression Models
10 January 2023 - Bayes Factors and Marginal Likelihood
26 August 2022 - Model Averaging
08 January 2022 - GLM: Model Selection
07 January 2022 - Bayesian Estimation Supersedes the T-Test
Posts tagged model expansion
26 June 2023 - Discrete Choice and Random Utility Models
02 April 2022 - Model building and expansion for golf putting
Posts tagged moderation
26 March 2022 - Bayesian moderation analysis
Posts tagged multi-output
Posts tagged negative binomial regression
26 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
26 April 2023 - Regression Models with Ordered Categorical Outcomes
Posts tagged out of sample predictions
26 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
26 September 2022 - Difference in differences
Posts tagged parameter estimation
26 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
26 March 2022 - Bayesian moderation analysis
26 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
26 September 2022 - Difference in differences
26 March 2022 - Simpson’s paradox and mixed models
16 December 2021 - Using Data Containers
Posts tagged prediction
26 January 2023 - Reliability Statistics and Predictive Calibration
Posts tagged product recommendation
Posts tagged propensity scores
26 January 2024 - Bayesian Non-parametric Causal Inference
Posts tagged prophet
26 April 2022 - Air passengers - Prophet-like model
Posts tagged quantile
25 January 2023 - Quantile Regression with BART
Posts tagged quasi experiments
26 October 2022 - Interrupted time series analysis
26 September 2022 - Difference in differences
26 April 2022 - Regression discontinuity design analysis
Posts tagged regression
02 February 2023 - Multivariate Gaussian Random Walk
28 January 2023 - Rolling Regression
26 January 2023 - Modeling Heteroscedasticity with BART
25 January 2023 - Quantile Regression with BART
10 January 2023 - GLM: Robust Linear Regression
30 November 2022 - GLM: Poisson Regression
26 September 2022 - Difference in differences
26 September 2022 - Bayesian regression with truncated or censored data
04 June 2022 - Splines
26 April 2022 - Regression discontinuity design analysis
26 March 2022 - Simpson’s paradox and mixed models
26 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
26 November 2023 - Frailty and Survival Regression Models
26 January 2023 - Reliability Statistics and Predictive Calibration
17 January 2023 - Reparameterizing the Weibull Accelerated Failure Time Model
17 January 2023 - Bayesian Survival Analysis
26 May 2022 - Censored Data Models
Posts tagged time series
06 June 2023 - Gaussian Processes: Latent Variable Implementation
04 June 2023 - Marginal Likelihood Implementation
26 April 2023 - Longitudinal Models of Change
02 February 2023 - Multivariate Gaussian Random Walk
07 January 2023 - Analysis of An AR(1) Model in PyMC
26 November 2022 - Bayesian Vector Autoregressive Models
26 October 2022 - Interrupted time series analysis
26 September 2022 - Difference in differences
17 June 2022 - Stochastic Volatility model
26 April 2022 - Air passengers - Prophet-like model
Posts tagged time-to-failure
26 January 2023 - Reliability Statistics and Predictive Calibration
Posts tagged truncated
26 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
26 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