Code of Empirical Bayes Transductive Meta-Learning with Synthetic Gradients

Matlab code for robust empirical Bayes confidence intervals

Weighted tidy log odds ratio ⚖️

Code for the paper: Mixed Models with Multiple Instance Learning

This package identifies differential expression in high-throughput 'count' data, such as that derived from next-generation sequencing machines, calculating estimated posterior likelihoods of differential expression (or more complex hypotheses) via empirical Bayesian methods.

Official implementation of Learning Diffusion Priors from Observations by Expectation Maximization

MAnorm2 for Normalizing and Comparing ChIP-seq Samples

Repository for "Improving evidential deep learning via multi-task learning," published in AAAI2022

mfair: Matrix Factorization with Auxiliary Information in R

Temporal Integrative Genomics Analysis in R

My PhD thesis: Regression modelling using priors depending on Fisher information covariance kernels (I-priors)

Fast Bayesian inference in large graphical models.

Hierarchical Empirical Bayes Auto-Encoder

Reproduction code for "Empirical Bayes mean estimation with nonparametric errors via order statistic regression on replicated data"

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

This repository has the code for a python implementation for the Splines'n Lines method from Kent D., Budavári T., Loredo T., and Ruppert D. It also contains some general explorations of Quassar data from the Sloan Digital Sky Survey. ArXiv for Splines'n Lines: https://arxiv.org/abs/2310.19340

Gene network reconstruction using global-local shrinkage priors

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

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

Empirical Bayes shrinkage to combine RCT and observational CATE estimates (WHI), with reproducible Quarto pipelines and validation. No participant-level data included.