High Quality Geophysical Analysis provides a general purpose Bayesian and deterministic inversion framework for various geophysical methods and spatially distributed / timeseries data

Receiver function inversion by reversible-jump Markov-chain Monte Carlo

Bayeisan inversion to recover Green's functions of receiver-side structures from teleseismic waveforms

[Quantitative Finance 2019] Sovereign Risk Zones in Europe During and After the Debt Crisis

Statistical analysis of gene family evolution using phylogenetic birth-death processes and WGD inference using rjMCMC

A parallelization of RJMCMC. To cite this software publication: https://www.sciencedirect.com/science/article/pii/S2352711021000091

Hierarchical Bayesian approaches for robust inference in ARX models

A Bayesian functional regression framework built on RKHS's and reversible jump MCMC.

RJMCMC: Genome-Wide Nucleosome Positioning in R

Julia library for Bayesian non- and semi-parametric hazard models using B-splines

A refactoring of David Hastie's AutoMix Reversible Jump MCMC

Code accompanying the paper "Microlensing model inference with normalising flows and reversible jump MCMC"

Universal Programmable Inference in JAX

Estimate ESS and posterior model probabilities by fitting a discrete Markov chain to output from a rjMCMC sampler

Bioconductor Package - Genome-Wide Nucleosome Positioning in R with an optimized section in C++