Weighted tidy log odds ratio ⚖️

Code of Empirical Bayes Transductive Meta-Learning with Synthetic Gradients

MAnorm2 for Normalizing and Comparing ChIP-seq Samples

Official implementation of Learning Diffusion Priors from Observations by Expectation Maximization

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

Rcpp package implementing automatic smoothing for multiple generalized additive models.

Matlab code for robust empirical Bayes confidence intervals

Gene network reconstruction using global-local shrinkage priors

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

💡 Foundations of Bayesian Methodology

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

Temporal Integrative Genomics Analysis in R

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.

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

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

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