There are 0 repository under empirical-bayes topic.
Weighted tidy log odds ratio ⚖️
Code of Empirical Bayes Transductive Meta-Learning with Synthetic Gradients
Learning Diffusion Priors from Observations by Expectation Maximization
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
Reproduction code for "Empirical Bayes mean estimation with nonparametric errors via order statistic regression on replicated data"
Code and Analyses using the Hierarchical Empirical Bayes Autoencoder (HEBAE)
Temporal Integrative Genomics Analysis in R
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)
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.
Python codes for Paper: An Efficient and Flexible Spike Train Model via Empirical Bayes
An empirical Bayes change point model for gene expression timecourse data.
Estimation of objective priors from cohort data
Empirical Bayes resampling method for uncertainty estimation of (U-Th)/He data
Code and Documentation for Functional Regression on Densities of Observations (FRODO)
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.
Deprecated (Entropy) approach to Empirical Bayes. Cf ObjectiveEmpiricalBayes.jl
Additive interaction modelling using I-priors