Robust and multivariate statistical methods [Documento eletrónico] : festschrift in honor of david e. tyler / edited by Mengxi Yi, Klaus Nordhausen
Language: eng.Country: Switzerland, Swiss Confederation.Publication: Cham : Springer International Publishing, Springer, 2023Description: XVIII, 495 p. : il.ISBN: 978-3-031-22687-8.Subject - Topical Name: Estatística matemática | Análise multivariada | Machine learning Online Resources:Click here to access online| Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | |
|---|---|---|---|---|---|---|---|---|
| E-Books | Biblioteca NOVA FCT Online | Não Ficção | QA276.SPR FCT 102580 (Browse shelf(Opens below)) | 1 | Available | 95293 |
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This book presents recent developments in multivariate and robust statistical methods. Featuring contributions by leading experts in the field it covers various topics, including multivariate and high-dimensional methods, time series, graphical models, robust estimation, supervised learning and normal extremes. It will appeal to statistics and data science researchers, PhD students and practitioners who are interested in modern multivariate and robust statistics. The book is dedicated to David E. Tyler on the occasion of his pending retirement and also includes a review contribution on the popular Tyler's shape matrix.
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