Introduction to Probabilistic Programming
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Updated
Jun 19, 2024 - R
Introduction to Probabilistic Programming
The Hellenic Complex Systems Laboratory (HCSL) GitHub repository.
Stochastic tree ensembles (BART / XBART) for supervised learning and causal inference
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.
Probabilistic Inference on Noisy Time Series
This project contains a collection of Jupyter Notebook files related to optimization algorithms including Hill Climbing, Genetic Algorithm, Iterated Local Search, Simulated Annealing, and Tabu Search.
A probabilistic programming language that combines automatic differentiation, automatic marginalization, and automatic conditioning within Monte Carlo methods.
Project Risk Analysis
Approximate variational inference in Julia
loo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)
PaRtitiOned empirical Bayes Ecm (PROBE)
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
Modelling 12-lead ECG data with PSMF
priorsense: an R package for prior diagnostics and sensitivity
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