Weighted tidy log odds ratio ⚖️

Code of Empirical Bayes Transductive Meta-Learning with Synthetic Gradients

MAnorm2 for Normalizing and Comparing ChIP-seq Samples

Learning Diffusion Priors from Observations by Expectation Maximization

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

Code for the paper: Mixed Models with Multiple Instance Learning

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

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)

Hierarchical Empirical Bayes Auto-Encoder

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