This repository holds slides and code for a full Bayesian statistics graduate course.
CC-BY-SA-4.0 License
Causal Inference using Gaussian Processes with Structured Latent Confounders. Estimate treatment ...
Gaussian Process package based on data augmentation, sparsity and natural gradients
Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.
Computing reachable states of dynamical systems in Julia
A Julia package for Cluster Validity Indices (CVIs).
Toolkit functions and example outputs for Bayesian (Structural) Vector Autoregressive (VAR) models
Bayesian Statistics using Julia and Turing
A Julia package for Adaptive Resonance Theory (ART) algorithms.
Distributed MCMC Inference in Dirichlet Process Mixture Models (High Performance Machine Learning...
Repository for Common Ground C25
BridgeStan provides efficient in-memory access through Python, Julia, and R to the methods of a S...
Bayesian Generalized Linear models using `@formula` syntax.
Generalized Linear Regressions Models (penalized regressions, robust regressions, ...)
Graphical tools for Bayesian inference and posterior predictive checks
A statistical toolbox for diffusion processes and stochastic differential equations. Named after ...