2024 US presidential election model and simulation (daily data updates until election)
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Updated
Jun 30, 2024 - Python
2024 US presidential election model and simulation (daily data updates until election)
ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.
Bayesian A/B testing
A list of links and pages for early career neuroscientists covering neuroimaging, programming and research skills
RStan, the R interface to Stan
A tool-box for prior elicitation.
{mvgam} R 📦 to fit Dynamic Bayesian Generalized Additive Models for time series analysis and forecasting
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.
Bayesian inference with probabilistic programming.
Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.
🎓 Uni-Bonn Decision Analysis graduate course, lectures and materials
A Bayesian Analysis Toolkit in Julia
Deterministic algorithms for objective Bayesian inference and hyperparameter optimization
Implementing Bayesian neural networks to close the amortization gap in VAEs in pytorch.
rstanarm R package for Bayesian applied regression modeling
R Weekly Assignment for "Advanced Statistics for Physics Analysis" course - 2024 - UniPD
Course materials for PROBABILITY AND STATISTICS A/B
loo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)
Bayesian data analysis code for evidence and probability distribution calculation based on nested sampling algorithm
Gaussian processes in TensorFlow
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