empirical-bayes

Weighted tidy log odds ratio ⚖️

Code of Empirical Bayes Transductive Meta-Learning with Synthetic Gradients

Official implementation of Learning Diffusion Priors from Observations by Expectation Maximization

MAnorm2 for Normalizing and Comparing ChIP-seq Samples

Code for the paper: Mixed Models with Multiple Instance Learning

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

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

mfair: Matrix Factorization with Auxiliary Information in R

Flexible and Accurate Methods for Estimation and Inference of Gaussian Graphical Models with Applications

Matlab code for robust empirical Bayes confidence intervals

Rcpp package implementing automatic smoothing for multiple generalized additive models.

Gene network reconstruction using global-local shrinkage priors

Temporal Integrative Genomics Analysis in R

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

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

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.

💡 Foundations of Bayesian Methodology

Offline Dota 2 draft advisor and hero-pool guide. Mines divine-immortal STRATZ drafts into DuckDB, then empirical-Bayes shrinkage, cross-validated ALS matrix completion, rank normalization, and expectimax-style scoring with weights fitted by guarded coordinate ascent. Apriori, Naive Bayes, k-NN, and bagged ensembles benchmark the model.

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

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