Statistics in the Public Interest
In Memory of Stephen E. Fienberg
Series: Springer Series in the Data Sciences;
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Product details:
- Edition number 1st ed. 2022
- Publisher Springer
- Date of Publication 23 April 2023
- Number of Volumes 1 pieces, Book
- ISBN 9783030754624
- Binding Paperback
- No. of pages573 pages
- Size 235x155 mm
- Weight 902 g
- Language English
- Illustrations 25 Illustrations, black & white; 66 Illustrations, color 506
Categories
Short description:
This edited volume surveys a variety of topics in statistics and the social sciences in memory of the late Stephen Fienberg. The book collects submissions from a wide range of contemporary authors to explore the fields in which Fienberg made significant contributions, including contingency tables and log-linear models, privacy and confidentiality, forensics and the law, the decennial census and other surveys, the National Academies, Bayesian theory and methods, causal inference and causes of effects, mixed membership models, and computing and machine learning. Each section begins with an overview of Fienberg?s contributions and continues with chapters by Fienberg?s students, colleagues, and collaborators exploring recent advances and the current state of research on the topic. In addition, this volume includes a biographical introduction as well as a memorial concluding chapter comprised of entries from Stephen and Joyce Fienberg?s close friends, former students, colleagues, and otherloved ones, as well as a photographic tribute.
MoreLong description:
This edited volume surveys a variety of topics in statistics and the social sciences in memory of the late Stephen Fienberg. The book collects submissions from a wide range of contemporary authors to explore the fields in which Fienberg made significant contributions, including contingency tables and log-linear models, privacy and confidentiality, forensics and the law, the decennial census and other surveys, the National Academies, Bayesian theory and methods, causal inference and causes of effects, mixed membership models, and computing and machine learning. Each section begins with an overview of Fienberg?s contributions and continues with chapters by Fienberg?s students, colleagues, and collaborators exploring recent advances and the current state of research on the topic. In addition, this volume includes a biographical introduction as well as a memorial concluding chapter comprised of entries from Stephen and Joyce Fienberg?s close friends, former students, colleagues, and otherloved ones, as well as a photographic tribute.
MoreTable of Contents:
Statistics in the Public Interest: In Memory of Stephen E. Fienberg
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