Regularized brain reading with shrinkage and smoothing

DOI10.1214/15-AOAS837zbMath1397.62474arXiv1401.6595OpenAlexW2270153498MaRDI QIDQ262378

Leila Wehbe, Cosma Rohilla Shalizi, Aaditya Ramdas, Rebecca C. Steorts

Publication date: 29 March 2016

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

Full work available at URL: https://arxiv.org/abs/1401.6595

zbMATH Keywords

regularizationridge regressionshrinkagesmall area estimationfMRIspatial smoothing

Mathematics Subject Classification ID

Ridge regression; shrinkage estimators (Lasso) (62J07) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (2)

Smoothing and Benchmarking for Small Area Estimation ⋮ Regularized brain reading with shrinkage and smoothing

Uses Software

• Matlab
• ElemStatLearn
• SPM12
• Glmnet

Cites Work

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• New important developments in small area estimation
• Regularized brain reading with shrinkage and smoothing
• Spatial Bayesian variable selection models on functional magnetic resonance imaging time-series data
• Bayesian benchmarking with applications to small area estimation
• Penalized regression, standard errors, and Bayesian Lassos
• Graphical Models, Exponential Families, and Variational Inference
• Generalized Cross-Validation as a Method for Choosing a Good Ridge Parameter
• Regularization and Variable Selection Via the Elastic Net
• Ridge Regression: Biased Estimation for Nonorthogonal Problems
• The elements of statistical learning. Data mining, inference, and prediction

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