Introduction to Probabilistic Programming
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Updated
Jun 12, 2024 - R
Introduction to Probabilistic Programming
PaRtitiOned empirical Bayes Ecm (PROBE)
The Hellenic Complex Systems Laboratory (HCSL) GitHub repository.
Pre-trained Gaussian processes for Bayesian optimization
Probabilistic reasoning and statistical analysis in TensorFlow
PyAutoFit: Classy Probabilistic Programming
The base NIMBLE package for R
Bayesian Statistics-Econometrics
rstanarm R package for Bayesian applied regression modeling
Probabilistic Inference on Noisy Time Series
Modelling 12-lead ECG data with PSMF
priorsense: an R package for prior diagnostics and sensitivity
Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.
This repository contains supporting code for the paper "Selecting a conceptual hydrological model using Bayes' factors computed with Replica Exchange Hamiltonian Monte Carlo" by Mingo et al.
Stochastic tree ensembles (BART / XBART) for supervised learning and causal inference
General-purpose library for fitting models to data with correlated Gaussian-distributed noise
Probabilistic Programming and Nested sampling in JAX
Estimates the Force-of-Infection of a given pathogen from population based sero-prevalence studies
BayesVarSel: R package to calculate Bayes factors, model choice and variable selection in linear models
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