A general-purpose probabilistic programming system with programmable inference

Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.

Bayesian Segmentation of Spatial Transcriptomics Data

Exploratory analysis of Bayesian models with Julia

The automatically differentiable and GPU-compatible toolkit for CMB analysis.

A common framework for implementing and using log densities for inference.

Fast approximate high-dimensional hierarchical Bayesian inference

Kernel Density Estimate with product approximation using multiscale Gibbs sampling

Graphical tools for Bayesian inference and posterior predictive checks

Markov Chain Monte Carlo convergence diagnostics in Julia

Bayesian Information Gap Decision Theory

Pareto smoothed importance sampling

Bayesian gene tree reconciliation and WGD inference using amalgamated likelihood estimation

Storage for results of Bayesian inference

SMARTboost (boosting of smooth symmetric regression trees)

Is there anything we can't make Bayesian?

Utilities for loading posteriordb with Julia

A set of tutorials for building likelihood based models in ACT-R

Implementations for some distributions using a consistent API and AD-friendly code.

A Julia package for bayesian probabilistic matrix factorization (BPMF).