Markov chain Monte Carlo solver for lattice spin systems implemented in Julialang
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Updated
May 27, 2024 - Julia
Markov chain Monte Carlo solver for lattice spin systems implemented in Julialang
Bayesian inference with probabilistic programming.
Bayesian Generalized Linear models using `@formula` syntax.
gradient based MCMC sampler
Julia package with selected functions in the R package `rethinking`. Used in the SR2... projects.
StatisticalRethinking notebook project using Turing and Pluto notebooks (derived from Max Lapan's Jupyter project)
StatististicalRethinking notebook project using Stan and Pluto notebooks.
Distributed and parallel sampling from intractable distributions
Types and utility functions for summarizing Markov chain Monte Carlo simulations
A Bayesian Analysis Toolkit in Julia
Affine Invariant Markov Chain Monte Carlo (MCMC) Ensemble sampler
A Julia package for Differential Evolution MCMC
Robust implementation for random-walk Metropolis-Hastings algorithms
Julia implementation of elliptical slice sampling.
Computational statistical mechanics of field-responsive polymer chains
Implementations of the models from the Statistical Rethinking book with Turing.jl
Implementations of parallel tempering algorithms to augment samplers with tempering capabilities
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