Consistent and powerful non-Euclidean graph-based change-point test with applications to segmenting random interfered video data.

Shi, Xiaoping; Wu, Yuehua; Rao, Calyampudi Radhakrishna

Shi, Xiaoping; Wu, Yuehua; Rao, Calyampudi Radhakrishna.

Afiliação

Shi X; Department of Mathematics and Statistics, Thompson Rivers University, Kamloops, BC, Canada V2C0C8; xshi@tru.ca wuyh@mathstat.yorku.ca crr1@psu.edu.
Wu Y; Department of Mathematics and Statistics, York University, Toronto, ON, Canada M3J1P3; xshi@tru.ca wuyh@mathstat.yorku.ca crr1@psu.edu.
Rao CR; Department of Biostatistics, University at Buffalo, The State University of New York, Buffalo, NY 14221-3000; xshi@tru.ca wuyh@mathstat.yorku.ca crr1@psu.edu.

Proc Natl Acad Sci U S A ; 115(23): 5914-5919, 2018 06 05.

Article em En | MEDLINE | ID: mdl-29784801

Palavras-chave

change-point; distribution-free; minimum spanning tree; non-Euclidean distance; shortest Hamilton path

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Clinical_trials Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Clinical_trials Idioma: En Ano de publicação: 2018 Tipo de documento: Article