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Robust and Multivariate Statistical Methods Festschrift in Honor of David E. Tyler

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 norm...

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Bibliographic Details
Other Authors: Yi, Mengxi (Editor), Nordhausen, Klaus (Editor)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2023, 2023
Edition:1st ed. 2023
Subjects:
Machine Learning
Statistical Theory And Methods
Multivariate Analysis
Statistics 
Applied Statistics
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Description
Summary: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
Physical Description:XVIII, 495 p. 114 illus., 95 illus. in color online resource
ISBN:9783031226878

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