Bayesian inference with probabilistic programming.
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Updated
May 24, 2024 - Julia
Bayesian inference with probabilistic programming.
BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.
A C++ library of Markov Chain Monte Carlo (MCMC) methods
Robust, modular and efficient implementation of advanced Hamiltonian Monte Carlo algorithms
Manifold Markov chain Monte Carlo methods in Python
🚫 ↩️ A document that introduces Bayesian data analysis.
Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.
Survival analysis in health economic evaluation Contains a suite of functions to systematise the workflow involving survival analysis in health economic evaluation. survHE can fit a large range of survival models using both a frequentist approach (by calling the R package flexsurv) and a Bayesian perspective.
By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.
PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.
David Mackay's book review and problem solvings and own python codes, mathematica files
Application of the L2HMC algorithm to simulations in lattice QCD.
The code enables to perform Bayesian inference in an efficient manner through the use of Hamiltonian Neural Networks (HNNs), Deep Neural Networks (DNNs), Neural ODEs, and Symplectic Neural Networks (SympNets) used with state-of-the-art sampling schemes like Hamiltonian Monte Carlo (HMC) and the No-U-Turn-Sampler (NUTS).
Used in Deep Machine Learning and Lattice Quantum Chromodynamics
System Dynamics Review (2021)
Bayesian Inference of open cluster ages from photometry, parallaxes and Lithium measurements.
Sparse Bayesian ARX models with flexible noise distributions
This repo implements Robert, Wu, Stoehr, CP Robert - 2019 (https://arxiv.org/abs/1810.04449) algorithms eHMC and prHMC
Optimal drug dosing with MCMC using rstan
Codes for estimates of intensity functions parameters of multivariate counting processes and density estimation for latent variable.
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