An R package for Bayesian structural equation modeling
-
Updated
Jun 12, 2024 - R
An R package for Bayesian structural equation modeling
2024 US presidential election model and simulation (daily data updates until election)
Course materials for PROBABILITY AND STATISTICS A/B
{mvgam} R 📦 to fit Dynamic Bayesian Generalized Additive Models for time series analysis and forecasting
Python package to calculate the weighted average with Bayesian methods
Bayesian Functional Mixed Membership Models
A tool-box for prior elicitation.
Bayesian inference with probabilistic programming.
ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.
A list of links and pages for early career neuroscientists covering neuroimaging, programming and research skills
Implementing Bayesian neural networks to minimize the amortization gap in VAEs, investigating their potential to approximate the optimal solution to the amortization interpolation problem in PyTorch.
BayesBase is a package that serves as an umbrella, defining, exporting, and re-exporting methods essential for Bayesian statistics
This repository holds slides and code for a full Bayesian statistics graduate course.
Bayesian Statistics-Econometrics
Bayesian Statistics using Julia and Turing
Bayesian optimization using Gaussian Process regression (Python)
Development of the R package 'Luminescence'
rstanarm R package for Bayesian applied regression modeling
🎓 Uni-Bonn Decision Analysis graduate course, lectures and materials
Add a description, image, and links to the bayesian-statistics topic page so that developers can more easily learn about it.
To associate your repository with the bayesian-statistics topic, visit your repo's landing page and select "manage topics."