Applied matrix and tensor variate data analysis / Toshio Sakata editor

• Pubblicazione: [Tokyo], : Springer, 2016
• Titolo uniforme: Applied matrix and tensor variate data analysis
• Descrizione fisica: XI, 136 p. : ill. ; 24 cm
• Soggetto topico: 62-XX - Statistics [MSC 2020]; 00B15 - Collections of articles of miscellaneous specific interest [MSC 2020]; 62R07 - Statistical aspects of big data and data science [MSC 2020]; 68T09 - Computational aspects of data analysis and big data [MSC 2020]
• Soggetto non controllato: Dictionary learning; Generalized simultaneous low rank approximation; Inference under array normal distributions; Non-negative matrix factorization; One-sided inference under array normal distributions; Tensor PCA
• Persona (resp. second.): Sakata, Toshio
• Titolo autorizzato: Applied matrix and tensor variate data analysis
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: VAN0114441
• Lo trovi qui: Univ. Vanvitelli
• Localizzazioni e accesso elettronico: http://dx.doi.org/10.1007/978-4-431-55387-8
• Serie: SpringerBriefs in Statistics. JSS research series in statistics Berlin [etc.] . -Springer