empirical-bayes

There are 0 repository under empirical-bayes topic.

juliasilge / tidylo
Weighted tidy log odds ratio ⚖️
weighted-log-odds tidyverse empirical-bayes log-odds-ratio r tidy-data
Language:R 91
hushell / sib_meta_learn
Code of Empirical Bayes Transductive Meta-Learning with Synthetic Gradients
meta-learning empirical-bayes few-shot-learning mini-imagenet
Language:Python 58
tushiqi / MAnorm2
MAnorm2 for Normalizing and Comparing ChIP-seq Samples
chip-seq differential-analysis empirical-bayes r-package winsorize-values
Language:HTML 30
deargen / MT-ENet
Repository for "Improving evidential deep learning via multi-task learning," published in AAAI2022
aaai bayesian-neural-networks deep-learning drug-discovery drug-target-interactions empirical-bayes evidential-deep-learning machine-learning multitask-learning pytorch uncertainty-estimation uncertainty-quantification
Language:Python 16
MaximeVandegar / NEB
Code for reproducing the experiments in the paper Neural Empirical Bayes: Source Distribution Estimation and its Applications to Simulation-Based Inference.
empirical-bayes neural-empirical-bayes inverse-problems source-distribution-estimation simulation-based-inference
Language:Python 10
AIH-SGML / mixmil
Code for the paper: Mixed Models with Multiple Instance Learning
attention-mechanism empirical-bayes generalized-linear-mixed-models mixed-models multi-instance multi-instance-learning variational-inference
Language:Jupyter Notebook 7
YangLabHKUST / mfair
mfair: Matrix Factorization with Auxiliary Information in R
empirical-bayes gradient-boosting matrix-completion matrix-factorization variational-inference r expectation-maximization-algorithm low-rank
Language:R 6
gleday / ShrinkNet
Gene network reconstruction using global-local shrinkage priors
empirical-bayes gene-network-reconstruction graphical-models high-dimensional-data high-dimensional-inference network-analysis simultaneous-equation variational-inference
Language:C++ 4
mikkelpm / ebci_matlab
Matlab code for robust empirical Bayes confidence intervals
empirical-bayes confidence-intervals
Language:MATLAB 4
nignatiadis / AuroraPaper
Reproduction code for "Empirical Bayes mean estimation with nonparametric errors via order statistic regression on replicated data"
empirical-bayes
Language:R 4
wenjie-tu / FBM
💡 Foundations of Bayesian Methodology
bayesian-methods empirical-bayes inla jags meta-analysis stan
Language:HTML 4
yelbachir / multgam_pkg
Rcpp package implementing automatic smoothing for multiple generalized additive models.
regularized-regression generalized-additive-models em-optimization rcpp empirical-bayes
Language:C++ 4
ramachandran-lab / HEBAE
Code and Analyses using the Hierarchical Empirical Bayes Autoencoder (HEBAE)
autoencoder machine-learning variational-autoencoder variational-inference empirical-bayes
Language:Python 3
viktormiok / tigaR
Temporal Integrative Genomics Analysis in R
differential-gene-expression empirical-bayes inla microarray rna-seq
Language:R 3
OpenThermochronology / EmpiricalBayes
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.
bayesian-inference bayesian-statistics bayesian-methods hierarchical-models empirical-bayes
Language:Jupyter Notebook 2
bRecordT / ATSC-CMFs
Empirical Bayes before-after study to evaluate ATSC safety effectiveness
traffic-safety empirical-bayes crash-modification-factor
Language:R 1
ctpeterson / SwissFit
General-purpose library for fitting models to data with correlated Gaussian-distributed noise
bayesian-methods bayesian-neural-networks fitting fitting-curve least-squares least-squares-regression machine-learning maximum-a-posteriori-estimation optimization parameter-estimation regression empirical-bayes surrogate-based-optimization
Language:Python 1
cuckoong / EB_spikes_trains
Python codes for Paper: An Efficient and Flexible Spike Train Model via Empirical Bayes
spike-trains empirical-bayes hierarchical-models
Language:Python 1
haziqj / phd-thesis
My PhD thesis: Regression modelling using priors depending on Fisher information covariance kernels (I-priors)
regression classification probit binary multinomial variable-selection kernel rkhs rkks hilbert-spaces krein-spaces frechet gateaux fisher-information gaussian-processes empirical-bayes em-algorithm variational-inference mcmc
Language:TeX 1
ttgump / EBtimecourse
An empirical Bayes change point model for gene expression timecourse data.
changepoint empirical-bayes false-discovery-rate gene-expression r timeseries
Language:Jupyter Notebook 1
weichengv / HEBAE
Hierarchical Empirical Bayes Auto-Encoder
generative-model variational-autoencoders variational-inference empirical-bayes
Language:Python 1
axsk / ObjectiveEmpiricalBayes.jl
Estimation of objective priors from cohort data
empirical-bayes package zib
Language:Jupyter Notebook 0
gleday / beam
Fast Bayesian Inference in Large Graphical Models
statistics graphical-models undirected-graphs covariance-estimation inverse-covariance bayesian-inference network-analysis empirical-bayes high-dimensional-data high-dimensional-inference
Language:R 0
kmcdannell / helium-empirical-bayes
Empirical Bayes resampling method for uncertainty estimation of (U-Th)/He data
bayesian-inference bayesian-statistics empirical-bayes thermochronology
Language:Jupyter Notebook 0
ShaunMcDonald1021 / FRODO
Code and Documentation for Functional Regression on Densities of Observations (FRODO)
bayesian-inference density-estimation empirical-bayes functional-data-analysis multilevel-models stan
Language:R 0
tjh48 / baySeq
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.
bayesian-methods bioconductor-package empirical-bayes high-throughput-sequencing
Language:R 0
weichengv / genee
A Recalibrated Hypothesis Test for SNP-Level Summary Statistics
empirical-bayes regularized-regression hypothesis-testing gwas-summary-statistics variable-selection
Language:R 0
axsk / EmpiricalBayesOld.jl
Deprecated (Entropy) approach to Empirical Bayes. Cf ObjectiveEmpiricalBayes.jl
empirical-bayes zib
Language:Julia
axsk / GynC.jl
Bayesian inference for the GynCycle model
bayesian-inference mcmc empirical-bayes zib paper
Language:Julia
haziqj / iprior-interaction
Additive interaction modelling using I-priors
empirical-bayes fisher-information hilbert-spaces kernel krein-spaces reproducing-kernel rkhs rkks regression
Language:R