Robust and Multivariate Statistical Methods: Festschrift in Honor of David E. Tyler - Couverture souple

Couverture souple

ISBN 10 : 3031226895 ISBN 13 : 9783031226892

Editeur : Springer International Publishing AG, 2024

Synopsis

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.

A propos du livre

À propos de l'auteur

Mengxi Yi is an Assistant Professor at the School of Statistics at the Beijing Normal University, Beijing, China. Her primary research interests include multivariate and robust statistics and time series analysis.

Klaus Nordhausen is a University Lecturer in Statistics at the Department of Mathematics and Statistics at the University of Jyväskylä, Finland. His main research interests include supervised and unsupervised dimension reduction, blind source separation, independent components analysis, robust and nonparametric methods and computational statistics.

Détails de l'édition

• Éditeur: Springer International Publishing AG
• Date d'édition: 2024
• Langue: anglais
• ISBN 10: 3031226895
• ISBN 13: 9783031226892
• Reliure: Broché
• Nombre de pages: 513
• Éditeur: Yi Mengxi, Nordhausen Klaus
• Coordonnées du fabricant: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3; Heidelberg; 69115; Allemagne