Gene network reconstruction using global-local shrinkage priors

DOI10.1214/16-AOAS990zbMath1366.62227arXiv1510.03771WikidataQ38837425 ScholiaQ38837425MaRDI QIDQ2628521

Yanyan Li

Publication date: 2 June 2017

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1510.03771

zbMATH Keywords

empirical BayesBayesian inferenceshrinkagevariational approximationundirected gene network

Mathematics Subject Classification ID

Ridge regression; shrinkage estimators (Lasso) (62J07) Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Protein sequences, DNA sequences (92D20)

Related Items (9)

Bayesian Edge Regression in Undirected Graphical Models to Characterize Interpatient Heterogeneity in Cancer ⋮ Estimation of variance components, heritability and the ridge penalty in high-dimensional generalized linear models ⋮ Hierarchical estimation of parameters in Bayesian networks ⋮ Semi‐supervised empirical Bayes group‐regularized factor regression ⋮ Drug sensitivity prediction with normal inverse Gaussian shrinkage informed by external data ⋮ Group-wise shrinkage estimation in penalized model-based clustering ⋮ Unnamed Item ⋮ Learning from a lot: Empirical Bayes for high‐dimensional model‐based prediction ⋮ Testing Sparsity-Inducing Penalties

This page was built for publication: Gene network reconstruction using global-local shrinkage priors