Bayesian Statistics using Julia and Turing
CC-BY-SA-4.0 License
Generalized Linear Regressions Models (penalized regressions, robust regressions, ...)
Toolkit functions and example outputs for Bayesian (Structural) Vector Autoregressive (VAR) models
Bayesian Generalized Linear models using `@formula` syntax.
Graphical tools for Bayesian inference and posterior predictive checks
MarSwitching.jl: Julia package for Markov switching dynamic models
Distributed MCMC Inference in Dirichlet Process Mixture Models (High Performance Machine Learning...
A Julia package for simulation, inference and learning of Hidden Markov Models.
Gaussian Process package based on data augmentation, sparsity and natural gradients
This repository holds slides and code for a full Bayesian statistics graduate course.
Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.
Examples for Bayesian inference using DynamicHMC.jl and related packages.
A statistical toolbox for diffusion processes and stochastic differential equations. Named after ...
A Julia package for grid-based adaptive design optimization.
[DEPRECATED] Statistics & Numerical algorithms implemented in Julia.
A Julia package for robust regressions using M-estimators and quantile regressions