bernarditaried / ZigZag-Sampling-TutorialLinks
This tutorial is a basic guide to understanding the Zig-Zag Sampling method. This document is released with the aim of diffusion and share of knowledge.
☆21Updated 6 years ago
Alternatives and similar repositories for ZigZag-Sampling-Tutorial
Users that are interested in ZigZag-Sampling-Tutorial are comparing it to the libraries listed below
Sorting:
- Piecewise Deterministic Sampler library (Bouncy particle sampler, Zig Zag sampler, ...)☆33Updated 4 years ago
- A light interface to serial and multi-threaded Sequential Monte Carlo☆32Updated 3 years ago
- Julia implementation of elliptical slice sampling.☆16Updated 5 months ago
- Couplings for Multinomial Hamiltonian Monte Carlo☆16Updated 7 months ago
- Density ratio estimation in Julia☆34Updated last month
- Utilities for loading posteriordb with Julia☆13Updated last month
- Is there anything we can't make Bayesian?☆15Updated 3 months ago
- LogDensityProblems implementation for Stan models☆18Updated last week
- ☆18Updated 2 years ago
- Preheat your MCMC☆79Updated this week
- Approximations for Gaussian processes: sparse variational inducing point approximations, Laplace approximation, ...☆38Updated last year
- Sleek implementations of the ZigZag, Boomerang and other assorted piecewise deterministic Markov processes for Markov Chain Monte Carlo i…☆104Updated 3 years ago
- Exploratory analysis of Bayesian models with Julia☆109Updated this week
- Differential-Independence Mixture Ensemble (DIME) MCMC sampling for Julia☆19Updated last month
- Fast approximate high-dimensional hierarchical Bayesian inference☆34Updated last year
- Functionality for diagnosing samples generated using Markov Chain Monte Carlo.☆20Updated 3 weeks ago
- Turing.jl port of the book "Regression and Other Stories" by Andrew Gelman, Jennifer Hill, and Aki Vehtari☆19Updated 3 years ago
- A Julia implementation of sparse Gaussian processes via path-wise doubly stochastic variational inference.☆33Updated 5 years ago
- Practical tools for quantifying how well a sample approximates a target distribution☆27Updated 5 years ago
- Julia package for neural estimation☆27Updated 2 months ago
- Storage for results of Bayesian inference☆15Updated this week
- An experimental implementation of sum-product networks with dense unitary transformations in leaves☆13Updated 3 years ago
- WIP successor to Soss.jl☆74Updated 2 years ago
- Why multiple dispatch lets you write composable code☆40Updated 5 years ago
- Implementation of normalizing flows compatible with Bijectors.jl☆43Updated last month
- Posterior with interesting shapes from actually used models☆13Updated 8 months ago
- Data and functions to support Julia projects based on the book "Regression and Other Stories" by Andrew Gelman, Jennifer Hill and Aki Veh…☆24Updated last year
- Implementation of some simple adaptive MCMC algorithms☆31Updated 8 months ago
- E.T. Jaynes home phone.☆45Updated 4 years ago
- Sampling from intractable distributions, with support for distributed and parallel methods☆120Updated this week