Advances and Innovations in Statistics and Data Science (Hardcover, 1st ed. 2022)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	ICSA Book Series in Statistics
Release date:	November 2022
First published:	2022
Editors:	Wenqing He • Liqun Wang • Jiahua Chen • Chunfang Devon Lin
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	332
Edition:	1st ed. 2022
ISBN-13:	978-3-03-108328-0
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Computing & IT > General theory of computing > Data structures Books > Computing & IT > Computer programming > Algorithms & procedures Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > General Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
LSN:	3-03-108328-8
Barcode:	9783031083280

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