Posted in 2026
04 January 2026 - Estimating species distributions with occupancy models
Posted in 2025
31 December 2025 - Modeling spatial point patterns with a marked log-Gaussian Cox process
04 September 2025 - Bayesian Workflow with SEMs
16 June 2025 - The Bayesian Workflow: COVID-19 Outbreak Modeling
15 June 2025 - Forecasting Hurricane Trajectories with State Space Models
04 January 2025 - Time Series Models Derived From a Generative Graph
Posted in 2024
04 December 2024 - Bayesian Hypothesis Testing - an introduction
09 November 2024 - GLM-missing-values-in-covariates
27 October 2024 - GLM-ordinal-features
04 September 2024 - Simpson’s paradox
04 September 2024 - Confirmatory Factor Analysis and Structural Equation Models in Psychometrics
24 August 2024 - The prevalence of malaria in the Gambia
04 August 2024 - Model Averaging
28 June 2024 - Gaussian Processes: HSGP Advanced Usage
10 June 2024 - Gaussian Processes: HSGP Reference & First Steps
04 May 2024 - Categorical regression
20 January 2024 - Automatic marginalization of discrete variables
14 January 2024 - Categories and Curves
07 January 2024 - The Garden of Forking Data
07 January 2024 - Social Networks
07 January 2024 - Ordered Categories
07 January 2024 - Multilevel Models
07 January 2024 - Multilevel Adventures
07 January 2024 - Modeling Events
07 January 2024 - Missing Data
07 January 2024 - Measurement and Misclassification
07 January 2024 - Markov Chain Monte Carlo
07 January 2024 - Horoscopes
07 January 2024 - Good & Bad Controls
07 January 2024 - Geocentric Models
07 January 2024 - Generalized Linear Madness
07 January 2024 - Gaussian Processes
07 January 2024 - Fitting Over & Under
07 January 2024 - Elemental Confounds
07 January 2024 - Counts and Hidden Confounds
07 January 2024 - Correlated Features
04 January 2024 - Bayesian Non-parametric Causal Inference
04 January 2024 - Baby Births Modelling with HSGPs
Posted in 2023
04 December 2023 - Out-Of-Sample Predictions
04 December 2023 - Bayesian copula estimation: Describing correlated joint distributions
04 November 2023 - Frailty and Survival Regression Models
04 September 2023 - GLM: Negative Binomial Regression
18 August 2023 - The Besag-York-Mollie Model for Spatial Data
04 August 2023 - Interventional what-if analysis using the PyMC do-operator
11 July 2023 - Faster Sampling with JAX and Numba
06 June 2023 - Gaussian Processes: Latent Variable Implementation
04 June 2023 - Marginal Likelihood Implementation
04 June 2023 - Discrete Choice and Random Utility Models
04 April 2023 - Regression Models with Ordered Categorical Outcomes
04 April 2023 - Longitudinal Models of Change
22 February 2023 - Using ModelBuilder class for deploying PyMC models
05 February 2023 - Pathfinder Variational Inference
04 February 2023 - Bayesian Missing Data Imputation
02 February 2023 - Multivariate Gaussian Random Walk
28 January 2023 - Rolling Regression
28 January 2023 - Hierarchical Partial Pooling
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
13 January 2023 - Empirical Approximation overview
10 January 2023 - Hierarchical Binomial Model: Rat Tumor Example
10 January 2023 - GLM: Robust Linear Regression
10 January 2023 - Bayes Factors and Marginal Likelihood
07 January 2023 - Analysis of An AR(1) Model in PyMC
04 January 2023 - Reliability Statistics and Predictive Calibration
04 January 2023 - Modeling Heteroscedasticity with BART
Posted in 2022
30 November 2022 - GLM: Poisson Regression
04 November 2022 - Bayesian Vector Autoregressive Models
24 October 2022 - A Primer on Bayesian Methods for Multilevel Modeling
20 October 2022 - Forecasting with Structural AR Timeseries
04 October 2022 - Kronecker Structured Covariances
04 October 2022 - Interrupted time series analysis
27 September 2022 - Generalized Extreme Value Distribution
04 September 2022 - Difference in differences
04 September 2022 - Bayesian regression with truncated or censored data
05 August 2022 - Fitting a Reinforcement Learning Model to Behavioral Data with PyMC
02 August 2022 - How to debug a model
31 July 2022 - Gaussian Processes using numpy kernel
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
30 May 2022 - Variational Inference: Bayesian Neural Networks
04 May 2022 - Censored Data Models
17 April 2022 - NBA Foul Analysis with Item Response Theory
04 April 2022 - Regression discontinuity design analysis
04 April 2022 - Gaussian Process for CO2 at Mauna Loa
04 April 2022 - Gaussian Mixture Model
04 April 2022 - Air passengers - Prophet-like model
02 April 2022 - Model building and expansion for golf putting
24 March 2022 - How to wrap a JAX function for use in PyMC
22 March 2022 - Mean and Covariance Functions
19 March 2022 - Factor analysis
19 March 2022 - A Hierarchical model for Rugby prediction
04 March 2022 - Bayesian moderation analysis
10 February 2022 - Lasso regression with block updating
04 February 2022 - Binomial regression
04 February 2022 - Bayesian mediation analysis
08 January 2022 - GLM: Model Selection
08 January 2022 - Dirichlet mixtures of multinomials
07 January 2022 - Bayesian Estimation Supersedes the T-Test
Posted in 2021
21 December 2021 - Bayesian Additive Regression Trees: Introduction
16 December 2021 - Using a “black box” likelihood function
16 December 2021 - Using Data Containers
17 November 2021 - GLM: Robust Regression using Custom Likelihood for Outlier Classification
23 October 2021 - Estimating parameters of a distribution from awkwardly binned data
19 October 2021 - Sequential Monte Carlo
23 September 2021 - GLM: Mini-batch ADVI on hierarchical regression model
18 September 2021 - Marginalized Gaussian Mixture Model
16 September 2021 - Dirichlet process mixtures for density estimation
23 May 2021 - Introduction to Bayesian A/B Testing
05 May 2021 - Heteroskedastic Gaussian Processes
Posted in 2020
Posted in 2018
04 February 2018 - Diagnosing Biased Inference with Divergences
Posted in 2017
04 August 2017 - Student-t Process
04 May 2017 - Dependent density regression
04 January 2017 - Updating Priors
Posted in 2016
04 July 2016 - Inferring parameters of SDEs using a Euler-Maruyama scheme