Markov chain Monte Carlo (MCMC) for Bayesian analysis in julia

Bayesian Networks for Julia

Extension functionality which uses Stan.jl, DynamicHMC.jl, and Turing.jl to estimate the parameters to differential equations and perform Bayesian probabilistic scientific machine learning

Exploratory analysis of Bayesian models with Julia

Preheat your MCMC

Bayesian Generalized Linear models using `@formula` syntax.

BayesianNonparametrics in julia

Bayesian multi-tensor factorization methods, with side information

Code accompanying the paper Frank van der Meulen, Moritz Schauer: Bayesian estimation of discretely observed multi-dimensional diffusion processes using guided proposals