Advances and Innovations in Statistics and Data Science /

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...

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Bibliographic Details
Corporate Author:	SpringerLink (Online service)
Other Authors:	He, Wenqing (Editor), Wang, Liqun (Editor), Chen, Jiahua (Editor), Lin, Chunfang Devon (Editor)
Format:	eBook
Language:	English
Published:	Cham : Springer International Publishing : Imprint: Springer, 2022.
Edition:	1st ed. 2022.
Series:	ICSA Book Series in Statistics,
Subjects:	Biometry. Statistics . Artificial intelligence-Data processing. Machine learning. Biostatistics. Applied Statistics. Data Science. Machine Learning. Electronic books.
Online Access:	Connect to the full text of this electronic book

Description
Summary:	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.
Physical Description:	1 online resource (XVII, 332 pages 43 illustrations, 23 illustrations in color)
ISBN:	9783031083297
ISSN:	2199-0999
DOI:	10.1007/978-3-031-08329-7