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

Bayesian multi-tensor factorization methods, with side information

BayesianNonparametrics in julia

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

Exploratory analysis of Bayesian models with Julia

Bayesian Generalized Linear models using `@formula` syntax.

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

Preheat your MCMC