Selecting the Smoothing Parameter for Estimation of Slowly Changing Evoked Potential Signals

DOI10.2307/2531681zbMath0715.62263OpenAlexW2022633731WikidataQ41933203 ScholiaQ41933203MaRDI QIDQ3201577

George Fein, Bruce I. Turetsky, Jonathan Raz

Publication date: 1989

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://semanticscholar.org/paper/debb37f21ad075f318d514053de3f4f918e47a7b

zbMATH Keywords

kernel estimationnonparametric regressionelectroencephalographysmoothing parameterevent-related potentialsmean average squared errorBrain evoked potentialsignal heterogeneity

Mathematics Subject Classification ID

Density estimation (62G07) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (4)

Consistency of cross-validation when the data are curves ⋮ Some automated methods of smoothing time-dependent data ⋮ Change-point problems: bibliography and review ⋮ Nonparametric regression estimation in models with weak error's structure

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