Overview
- Traces the inspiring career path and work of outstanding statistician R. Dennis Cook.
- Presents contemporary concepts and trends in sufficient dimension reduction (SDR), envelope models, and data visualization.
- Includes a comprehensive list of important papers in the featured topics.
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About this book
In honor of professor and renowned statistician R. Dennis Cook, this festschrift explores his influential contributions to an array of statistical disciplines ranging from experimental design and population genetics, to statistical diagnostics and all areas of regression-related inference and analysis. Since the early 1990s, Prof. Cook has led the development of dimension reduction methodology in three distinct but related regression contexts: envelopes, sufficient dimension reduction (SDR), and regression graphics. In particular, he has made fundamental and pioneering contributions to SDR, inventing or co-inventing many popular dimension reduction methods, such as sliced average variance estimation, the minimum discrepancy approach, model-free variable selection, and sufficient dimension reduction subspaces.
A prolific researcher and mentor, Prof. Cook is known for his ability to identify research problems in statistics that are both challenging and important, as well as his deep appreciation for the applied side of statistics. This collection of Prof. Cook's collaborators, colleagues, friends, and former students reflects the broad array of his contributions to the research and instructional arenas of statistics.
A prolific researcher and mentor, Prof. Cook is known for his ability to identify research problems in statistics that are both challenging and important, as well as his deep appreciation for the applied side of statistics. This collection of Prof. Cook's collaborators, colleagues, friends, and former students reflects the broad array of his contributions to the research and instructional arenas of statistics.
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Keywords
- regression
- classification
- sufficient dimesion reduction
- graphics
- multivariate analysis
- design of experiments
- population genetics
- dimension reduction
- SDR
- Sliced Average Variance Estimation
- Minimum Discrepancy Approach
- Model-Free Variable Selection
- Sufficient Dimension Reduction Subspaces
- big data
- experimental design
Table of contents (9 chapters)
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Front Matter
Editors and Affiliations
About the editors
Dr. Efstathia Bura is professor and chair of applied statistics at the Institute of Statistics and Mathematical Methods in Economics, Vienna University of Technology, where she heads the Applied Statistics Research Unit (ASTAT). Her work has been published in numerous journals, including Journal of the American Statistical Association, Journal of Multivariate Analysis, Statistics in Medicine, and Biometrics. Her research focuses on dimension reduction in regression and classification, high-dimensional statistics, multivariate analysis, and applications in biostatistics, econometrics and legal statistics.
Dr. Bing Li is Verne M. Willaman Professor of statistics at Pennsylvania State University. His work has been published in many journals, including Journal of the American Statistical Association, The Annals of Statistics, Biometrika, and the Journal of the Royal Statistical Society, Series B. His research interests include dimension reduction, machine learning, statistical graphical models, functional data analysis, and estimating equations. He has served as an Associate Editor for the Annals of Statistics and Journal of the American Statistical Society.
Dr. Bing Li is Verne M. Willaman Professor of statistics at Pennsylvania State University. His work has been published in many journals, including Journal of the American Statistical Association, The Annals of Statistics, Biometrika, and the Journal of the Royal Statistical Society, Series B. His research interests include dimension reduction, machine learning, statistical graphical models, functional data analysis, and estimating equations. He has served as an Associate Editor for the Annals of Statistics and Journal of the American Statistical Society.
Bibliographic Information
Book Title: Festschrift in Honor of R. Dennis Cook
Book Subtitle: Fifty Years of Contribution to Statistical Science
Editors: Efstathia Bura, Bing Li
DOI: https://doi.org/10.1007/978-3-030-69009-0
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-69008-3Published: 28 April 2021
Softcover ISBN: 978-3-030-69011-3Published: 29 April 2022
eBook ISBN: 978-3-030-69009-0Published: 27 April 2021
Edition Number: 1
Number of Pages: XIII, 192
Number of Illustrations: 7 b/w illustrations, 30 illustrations in colour
Topics: Statistical Theory and Methods, Statistics and Computing/Statistics Programs, Probability and Statistics in Computer Science