Some asymptotic theory for functional regression and classification
type: Item
instance of: scholarly article
title: Some asymptotic theory for functional regression and classification
zbMATH Open document ID: 1233.62028
DOI: 10.1155/2011/485974
author: Jing Wang
author: Shih-Hsuan Wei
author: Li Yu
author: Frits Ruymgaart
published in: Advances in Decision Sciences
publication date: 2012-03-14T00:00:00Z
review text: Summary: Exploiting an expansion for analytic functions of operators, the asymptotic distribution of an estimator of the functional regression parameter is obtained in a rather simple way; the result is applied to testing linear hypotheses. The expansion is also used to obtain a quick proof for the asymptotic optimality of a functional classification rule, given Gaussian populations.
Mathematics Subject Classification ID: 62E20
Mathematics Subject Classification ID: 62G08
Mathematics Subject Classification ID: 62H30
Mathematics Subject Classification ID: 62G20
Mathematics Subject Classification ID: 62J05
zbMATH DE Number: 6014712
Wikidata QID: Q58653862
describes a project that uses: fda (R)
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2011/485974
OpenAlex ID: W2048163400
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DBLP publication ID: journals/jamds/RuymgaartWWY11
description: scientific article; zbMATH DE number 6014712