Posts in
07 January 2023 - Analysis of An AR(1) Model in PyMC
Posts in advanced
26 January 2024 - Bayesian Non-parametric Causal Inference
26 June 2023 - Discrete Choice and Random Utility Models
26 April 2023 - Longitudinal Models of Change
26 February 2023 - Bayesian Missing Data Imputation
22 February 2023 - Using ModelBuilder class for deploying PyMC models
05 February 2023 - Pathfinder Variational Inference
13 January 2023 - Empirical Approximation overview
05 August 2022 - Fitting a Reinforcement Learning Model to Behavioral Data with PyMC
31 July 2022 - Gaussian Processes using numpy kernel
24 March 2022 - How to wrap a JAX function for use in PyMC
19 March 2022 - Factor analysis
08 January 2022 - Dirichlet mixtures of multinomials
16 September 2021 - Dirichlet process mixtures for density estimation
Posts in beginner
26 December 2023 - Out-Of-Sample Predictions
26 September 2023 - GLM: Negative Binomial Regression
26 April 2023 - Regression Models with Ordered Categorical Outcomes
02 February 2023 - Multivariate Gaussian Random Walk
26 January 2023 - Modeling Heteroscedasticity with BART
10 January 2023 - GLM: Robust Linear Regression
10 January 2023 - Bayes Factors and Marginal Likelihood
27 September 2022 - Generalized Extreme Value Distribution
26 September 2022 - Bayesian regression with truncated or censored data
02 August 2022 - How to debug a model
29 July 2022 - Conditional Autoregressive (CAR) Models for Spatial Data
17 June 2022 - Stochastic Volatility model
04 June 2022 - Splines
31 May 2022 - Sampler Statistics
31 May 2022 - General API quickstart
31 May 2022 - Approximate Bayesian Computation
26 April 2022 - Regression discontinuity design analysis
26 April 2022 - Gaussian Mixture Model
26 March 2022 - Simpson’s paradox and mixed models
26 March 2022 - Bayesian moderation analysis
26 February 2022 - Binomial regression
26 February 2022 - Bayesian mediation analysis
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)
16 December 2021 - Using Data Containers
19 October 2021 - Sequential Monte Carlo
23 May 2021 - Introduction to Bayesian A/B Testing
Posts in explanation
25 January 2023 - Quantile Regression with BART
10 January 2023 - Bayes Factors and Marginal Likelihood
31 May 2022 - Approximate Bayesian Computation
26 April 2022 - Regression discontinuity design analysis
21 December 2021 - Bayesian Additive Regression Trees: Introduction
Posts in how-to
20 January 2024 - Automatic marginalization of discrete variables
05 February 2023 - Pathfinder Variational Inference
18 January 2023 - DEMetropolis(Z) Sampler Tuning
18 January 2023 - DEMetropolis and DEMetropolis(Z) Algorithm Comparisons
17 January 2023 - Reparameterizing the Weibull Accelerated Failure Time Model
17 January 2023 - Bayesian Survival Analysis
16 January 2023 - ODE Lotka-Volterra With Bayesian Inference in Multiple Ways
13 January 2023 - Introduction to Variational Inference with PyMC
13 January 2023 - Empirical Approximation overview
05 August 2022 - Fitting a Reinforcement Learning Model to Behavioral Data with PyMC
26 May 2022 - Censored Data Models
02 April 2022 - Model building and expansion for golf putting
24 March 2022 - How to wrap a JAX function for use in PyMC
19 March 2022 - Factor analysis
19 March 2022 - A Hierarchical model for Rugby prediction
Posts in intermediate
20 January 2024 - Automatic marginalization of discrete variables
26 December 2023 - Bayesian copula estimation: Describing correlated joint distributions
26 November 2023 - Frailty and Survival Regression Models
18 August 2023 - The Besag-York-Mollie Model for Spatial Data
11 July 2023 - Faster Sampling with JAX and Numba
06 June 2023 - Gaussian Processes: Latent Variable Implementation
04 June 2023 - Marginal Likelihood Implementation
28 January 2023 - Rolling Regression
28 January 2023 - Hierarchical Partial Pooling
26 January 2023 - Reliability Statistics and Predictive Calibration
25 January 2023 - Quantile Regression with BART
18 January 2023 - DEMetropolis(Z) Sampler Tuning
18 January 2023 - DEMetropolis and DEMetropolis(Z) Algorithm Comparisons
17 January 2023 - Reparameterizing the Weibull Accelerated Failure Time Model
17 January 2023 - Bayesian Survival Analysis
16 January 2023 - ODE Lotka-Volterra With Bayesian Inference in Multiple Ways
13 January 2023 - Introduction to Variational Inference with PyMC
10 January 2023 - Hierarchical Binomial Model: Rat Tumor Example
07 January 2023 - Analysis of An AR(1) Model in PyMC
30 November 2022 - GLM: Poisson Regression
26 November 2022 - Bayesian Vector Autoregressive Models
26 October 2022 - Kronecker Structured Covariances
26 October 2022 - Interrupted time series analysis
24 October 2022 - A Primer on Bayesian Methods for Multilevel Modeling
20 October 2022 - Forecasting with Structural AR Timeseries
26 September 2022 - Difference in differences
26 August 2022 - Model Averaging
30 May 2022 - Variational Inference: Bayesian Neural Networks
26 May 2022 - Censored Data Models
26 April 2022 - Gaussian Process for CO2 at Mauna Loa
26 April 2022 - Air passengers - Prophet-like model
17 April 2022 - NBA Foul Analysis with Item Response Theory
02 April 2022 - Model building and expansion for golf putting
22 March 2022 - Mean and Covariance Functions
19 March 2022 - A Hierarchical model for Rugby prediction
08 January 2022 - GLM: Model Selection
21 December 2021 - Bayesian Additive Regression Trees: Introduction
17 November 2021 - GLM: Robust Regression using Custom Likelihood for Outlier Classification
23 October 2021 - Estimating parameters of a distribution from awkwardly binned data
23 September 2021 - GLM: Mini-batch ADVI on hierarchical regression model
18 September 2021 - Marginalized Gaussian Mixture Model
26 February 2018 - Diagnosing Biased Inference with Divergences
Posts in reference
26 January 2024 - Bayesian Non-parametric Causal Inference
26 November 2023 - Frailty and Survival Regression Models
11 July 2023 - Faster Sampling with JAX and Numba
26 June 2023 - Discrete Choice and Random Utility Models
06 June 2023 - Gaussian Processes: Latent Variable Implementation
04 June 2023 - Marginal Likelihood Implementation
26 April 2023 - Regression Models with Ordered Categorical Outcomes
26 April 2023 - Longitudinal Models of Change
26 January 2023 - Modeling Heteroscedasticity with BART
22 March 2022 - Mean and Covariance Functions
Posts in tutorial
18 August 2023 - The Besag-York-Mollie Model for Spatial Data
29 July 2022 - Conditional Autoregressive (CAR) Models for Spatial Data
17 April 2022 - NBA Foul Analysis with Item Response Theory
23 May 2021 - Introduction to Bayesian A/B Testing