Wavelet-domain regression and predictive inference in psychiatric neuroimaging

DOI10.1214/15-AOAS829zbMath1454.62386arXiv1509.04903OpenAlexW2098645997WikidataQ37016510 ScholiaQ37016510MaRDI QIDQ746704

Clare Kelly, Lan Huo, Yihong Zhao, Philip T. Reiss, Robert Todd Ogden

Publication date: 28 October 2015

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

Full work available at URL: https://arxiv.org/abs/1509.04903

zbMATH Keywords

functional regressionelastic netfunctional magnetic resonance imagingADHD-200functional confoundingsparse partial least squaressparse principal component regression

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Factor analysis and principal components; correspondence analysis (62H25) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (8)

Functional Regression for Densely Observed Data With Novel Regularization ⋮ Convergence rate of Bayesian supervised tensor modeling with multiway shrinkage priors ⋮ Sparse wavelet estimation in quantile regression with multiple functional predictors ⋮ Modeling Spiky Functional Data With Derivatives of Smooth Functions in Function-on-Function Regression ⋮ Methods for Scalar‐on‐Function Regression ⋮ Multi-Task Learning with High-Dimensional Noisy Images ⋮ Spatial Bayesian variable selection and grouping for high-dimensional scalar-on-image regression ⋮ Wavelet-domain regression and predictive inference in psychiatric neuroimaging

Uses Software

• R
• WaveThresh4
• fda (R)
• wavethresh
• refund
• glmnet
• PMA
• refund.wave
• DOS

Cites Work

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