On nonparametric feature filters in electromagnetic imaging

DOI10.1016/J.JSPI.2015.03.004zbMath1322.92022OpenAlexW2079842187MaRDI QIDQ499441

Jian Zhang

Publication date: 30 September 2015

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://kar.kent.ac.uk/47812/1/surejspijzrv2.pdf

zbMATH Keywords

beamformingMEG neuroimagingnonparametric feature selectionsource screening and reconstruction

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Biomedical imaging and signal processing (92C55)

Cites Work

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• Estimating the Number of Clusters in a Data Set Via the Gap Statistic
• Nearly unbiased variable selection under minimax concave penalty
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• Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
• Sure Independence Screening for Ultrahigh Dimensional Feature Space
• Source localization with MEG data: A beamforming approach based on covariance thresholding

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