Udvidet returret til d. 31. januar 2025

Statistics in the Public Interest

Bag om Statistics in the Public Interest

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.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9783030754624
  • Indbinding:
  • Paperback
  • Sideantal:
  • 596
  • Udgivet:
  • 23. april 2023
  • Udgave:
  • 23001
  • Størrelse:
  • 155x32x235 mm.
  • Vægt:
  • 890 g.
  • BLACK WEEK
  Gratis fragt
Leveringstid: 8-11 hverdage
Forventet levering: 10. december 2024
Forlænget returret til d. 31. januar 2025

Beskrivelse af Statistics in the Public Interest

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.

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