A Recalibrated Hypothesis Test for SNP-Level Summary Statistics

Deprecated (Entropy) approach to Empirical Bayes. Cf ObjectiveEmpiricalBayes.jl

Gene network reconstruction using global-local shrinkage priors

Additive interaction modelling using I-priors

💡 Foundations of Bayesian Methodology

Empirical Bayes resampling method for uncertainty estimation of (U-Th)/He data

Uses of a form of Empirical Bayes resampling (also known as Hierarchical Bayes) for more robust (U-Th)/He data uncertainty estimation for use in time-temperature history inversions.

Bayesian inference for the GynCycle model

Empirical Bayes before-after study to evaluate ATSC safety effectiveness

Python codes for Paper: An Efficient and Flexible Spike Train Model via Empirical Bayes

Rcpp package implementing automatic smoothing for multiple generalized additive models.

General-purpose library for fitting models to data with correlated Gaussian-distributed noise

Estimation of objective priors from cohort data

Code and Analyses using the Hierarchical Empirical Bayes Autoencoder (HEBAE)

Code for the paper: Mixed Models with Multiple Instance Learning

Fast Bayesian Inference in Large Graphical Models

Code and Documentation for Functional Regression on Densities of Observations (FRODO)

Code for reproducing the experiments in the paper Neural Empirical Bayes: Source Distribution Estimation and its Applications to Simulation-Based Inference.

Hierarchical Empirical Bayes Auto-Encoder

An empirical Bayes change point model for gene expression timecourse data.