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.
Format: Paperback / softback
CONTRIBUTORS: Wenqing He
EAN: 9783031083310
COUNTRY: Switzerland
PAGES:
WEIGHT: 0 g
HEIGHT: 235 cm
PUBLISHED BY: Springer International Publishing AG
DATE PUBLISHED: 2023-11-11
CITY:
GENRE: COMPUTERS / Artificial Intelligence / General, COMPUTERS / Information Theory, MATHEMATICS / Probability & Statistics / General, SCIENCE / Life Sciences / General
WIDTH: 155 cm
SPINE:
Book Themes:
Probability and statistics, Databases, Machine learning
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.
