Handbook of Bayesian, Fiducial, and Frequentist Inference (ePub)
This handbook provides a comprehensive introduction and overview of the key developments in the BFF schools of inference. It is intended to provide researchers and students an overview of foundations of inference from the BFF perspective and provides a general reference for BFF inference.
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This handbook provides a comprehensive introduction and overview of the key developments in the BFF schools of inference. It is intended to provide researchers and students an overview of foundations of inference from the BFF perspective and provides a general reference for BFF inference.
Xiao-Li Meng, PhD is the Whipple V. N. Jones Professor of Statistics at Harvard University. Dr. Meng received his PhD in statistics from Harvard University. He is the Founding Editor-in-Chief of Harvard Data Science Review. In 2020 he was elected to the American Academy of Arts and Sciences. His interests range from the theoretical foundations of statistical inferences to statistical methods and computation.
Nancy Reid, PhD is a University Professor of Statistical Sciences at the University of Toronto. Dr. Reid received her PhD in statistics from Stanford University, and is a Fellow of the Royal Society, the Royal Society of Canada, the Royal Society of Edinburgh, and a Foreign Associate of the National Academy of Sciences. In 2015 she was appointed Officer of the Order of Canada. Her research interests include the foundations and theory of statistical inference.
Min-ge Xie, PhD is a Distinguished Professor at Rutgers, The State University of New Jersey. Dr. Xie received his PhD in Statistics from the University of Illinois at Urbana-Champaign (UIUC). He is the current
- 2024, 544 Seiten, Englisch
- Herausgegeben: James Berger, Xiao-Li Meng, Nancy Reid, Min-Ge Xie
- Verlag: Taylor & Francis
- ISBN-10: 1003837697
- ISBN-13: 9781003837695
- Erscheinungsdatum: 26.02.2024
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: ePub
- Größe: 11 MB
- Ohne Kopierschutz
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