Advances and Innovations in Statistics and Data Science (ICSA Book Series in Statistics) - Couverture rigide

 
9783031083280: Advances and Innovations in Statistics and Data Science (ICSA Book Series in Statistics)
Couverture rigide
ISBN 10 : 3031083288 ISBN 13 : 9783031083280
Editeur : Springer, 2022

Synopsis

This book highlights selected papers from the 4th ICSA-Canada Chapter Symposium, as well as invited articles from established researchers in the areas of statistics and data science. It covers a variety of topics, including methodology development in data science, such as methodology in the analysis of high dimensional data, feature screening in ultra-high dimensional data and natural language ranking; statistical analysis challenges in sampling, multivariate survival models and contaminated data, as well as applications of statistical methods. With this book, readers can make use of frontier research methods to tackle their problems in research, education, training and consultation.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos de l'auteur

Wenqing He is Professor in the Department of Statistical and Actuarial Sciences at the University of Western Ontario, Canada. He was the Program Chair for the 4th ICSA-Canada Chpater Symposium.

Liqun Wang is Professor and Department Head in the Department of Statistics at the University of Manitoba, Canada. He is the Past-Chair of the ICSA-Canada Chapter. 

Jiahua Chen is Professor and Canada Research Chair (Tier I) in the Department of Statistics at the University of British Columbia, Canada.

Chunfang Devon Lin is Associate Professor in the Department of Mathematics and Statistics at Queen’s University, Canada. She was the local chair of the for the 4th ICSA-Canada Chapter Symposium.

À propos de la quatrième de couverture

This book highlights selected papers from the 4th ICSA-Canada Chapter Symposium, as well as invited articles from established researchers in the areas of statistics and data science. It covers a variety of topics, including methodology development in data science, such as methodology in the analysis of high dimensional data, feature screening in ultra-high dimensional data and natural language ranking; statistical analysis challenges in sampling, multivariate survival models and contaminated data, as well as applications of statistical methods. With this book, readers can make use of frontier research methods to tackle their problems in research, education, training and consultation.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Springer
Date d'édition
2022
Langue
anglais
ISBN 10 
3031083288
ISBN 13 
9783031083280
Reliure
Tapa dura
Numéro d'édition
1
Nombre de pages
352
Éditeur
Chen Jiahua, Wang Liqun, He Wenqing
Coordonnées du fabricant
Springer Nature Customer Service Center GmbH
ProductSafety@springernature.com

Europaplatz 3,69115 Heidelberg, Germany
Heidelberg
69115
Allemagne

Autres éditions populaires du même titre

9783031083310: Advances and Innovations in Statistics and Data Science

Edition présentée

ISBN 10 :  3031083318 ISBN 13 :  9783031083310
Editeur : Springer, 2023
Couverture souple