Extremal families and systems of sufficient statistics
by Steffen L. Lauritzen
This book surveys results in the area sometimes denoted as "partial exchangeability" of "de Finetti type theorems". It is to be seen as an attempt to give sense to the general idea that there is a strong coupling between a statistical model and the statistical analysis. So strong that there is a canonical mathematical construction leading from the analysis to the model. Special sections are devoted to the study of sufficiency, of triviality of tails of Markov chains, studied e.g. by coupling methods, Martin boundaries and projective limits of Markov kernels and Polish spaces. In addition, many examples of extreme point models are treated in detail. This book is intended for researchers and graduate students in mathematical statistics and probability.
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| Edition | Availability |
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1
Extremal Families and Systems of Sufficient Statistics
2012, Springer London, Limited
in English
1461210232 9781461210238
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2
Extremal families and systems of sufficient statistics
1988, Springer-Verlag
in English
0387968725 9780387968728
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3
Extremal Families and Systems of Sufficient Statistics
Nov 28, 1988, Springer My Copy UK
paperback
1461210240 9781461210245
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Book Details
Edition Notes
Includes bibliographical references (p. [260]-268).
Revised and updated version of: Statistical models as extremal families.
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