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

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

Inhaltsangabe

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.

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Über die Autorin bzw. den Autor

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.

Von der hinteren Coverseite

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.

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Verlag
Springer
Erscheinungsdatum
2022
Sprache
Englisch
ISBN 10 
3031083288
ISBN 13 
9783031083280
Einband
Tapa dura
Auflage
1
Anzahl der Seiten
352
Herausgeber
Chen Jiahua, Wang Liqun, He Wenqing
Kontakt zum Hersteller
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Deutschland

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ISBN 10:  3031083318 ISBN 13:  9783031083310
Verlag: Springer, 2023
Softcover