Elements of Bayesian Statistics
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€82.99
A01=Florens
advanced Bayesian reduction strategies
advanced inference methods
ancillarity
Ancillary Statistic
Arbitrary Index Set
asymptotic statistical theory
Author_Florens
Bayesian statistical theory
Bayesian sufficiency
Borel Set
Category=PBT
Conditional Expectations
Conditional Independence
Conditional Reduction
Cylinder Sets
Dense Countable Subset
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
Finite Measurable Partition
invariance in probability models
Measurable Space
measure theory applications
Monotone Class
Monotone Class Theorems
Null Sets
Polish Space
Prior Probability
probabilistic tools
Probability Space
probability theory
Radon Nikodym Derivative
Radon Nikodym Theorem
Sample Space
Sampling Sufficient Statistic
Sampling Theory
sequential analysis techniques
statistical experiment design
Stochastic Independence
Sufficient Parameter
Product details
- ISBN 9780367403218
- Weight: 725g
- Dimensions: 156 x 234mm
- Publication Date: 07 Oct 2019
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Paperback
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The ingratiating title notwithstanding, this is in no standard sense a text but a monograph, based largely upon the authors' research over a period of years, and intended to be read by sophisticated students of theoretical statistics. No exercises attach to the nine chapters, nor are they interrup
Jean-Pierre Florens
