Bayesian Regression With Undirected Network Predictors With an Application to Brain Connectome Data

DOI10.1080/01621459.2020.1772079zbMath1464.62434arXiv1803.10655OpenAlexW3031617338MaRDI QIDQ4999134

Sharmistha Guha, Abel Rodríguez

Publication date: 6 July 2021

Published in: Journal of the American Statistical Association (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1803.10655

zbMATH Keywords

high-dimensional regressioninfluential nodesbrain connectomeinfluential edgesnetwork predictorsnetwork shrinkage prior

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Neural nets and related approaches to inference from stochastic processes (62M45)

Related Items (5)

Bayesian Dynamic Tensor Regression ⋮ High-dimensional Bayesian network classification with network global-local shrinkage priors ⋮ Unnamed Item ⋮ Scalar on network regression via boosting ⋮ Semi-parametric Bayes regression with network-valued covariates

Uses Software

• glmnet
• Monomvn
• BayesDA

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
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