Bayesian Model Averaging for Random and Fixed Effects Meta-Analysis

R package to automagically compute Jeffrey's Approximate Bayes factors

Evaluating informative hypotheses with equality and inequality constraints: A tutorial using the Bayes factor via the encompassing prior approach [Supplemental Material]

Calibrated output validation with the Bayes Factor: weigh per-dimension quality scores into a pass, fail, or escalate decision on the Jeffreys scale, not an arbitrary threshold. Zero-dependency, node-free TypeScript.

This project introduces some of the basic Bayesian VAR models and provides a demonstration based on psychological data

Bayesian Informative Hypotheses Evaluation Web Applications

Bayes factor testing for β coefficients in the network autocorrelation model using Savage-Dickey ratio and BIC approximation methods. It proposes Bayes factors for two-sided and multiple hypotheses testing procedures

This repository contains a Python routine that computes Bayesian evidence and Bayes factors for model comparison in Cosmological analyses, based on the repository https://github.com/yabebalFantaye/MCEvidence

Bayesian Informative Hypotheses Evaluation Web Applications

Selecting fitted models under epistemic uncertainty [Source Code]

Extracting Bayesian Evidence from Frequentist p Values

Calculate bayes factors for various hypotheses about extent of slowdown

Distinguish power-law and geometric (discrete exponential) distributions using RStan with bridge sampling

Computationally efficient Bayesian variable selection method to identify linear and nonlinear effects in regression models where a predictor (or feature) can have a zero effect, a non-zero linear effect or non-zero non-linear effect on the outcome variables.

A web app to calculate Bayes Factors (BF) and Approximate Correct Model Probability (cmP) values.