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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| Další autoři: | , |
| Médium: | Elektronický zdroj E-kniha |
| Jazyk: | angličtina |
| Vydáno: |
Cham :
Springer International Publishing : Imprint: Springer,
2023.
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| Vydání: | 1st ed. 2023. |
| Témata: | |
| On-line přístup: | https://doi.org/10.1007/978-3-031-22687-8 |
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| Shrnutí: | 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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| Fyzický popis: | 1 online resource (XVIII, 495 p. 114 illus.). 95 illus. in color. |
| ISBN: | 9783031226878 |
| DOI: | 10.1007/978-3-031-22687-8 |