Subjective and Objective Bayesian Statistics: Principles,...

Subjective and Objective Bayesian Statistics: Principles, Models, and Applications, Second Edition (Wiley Series in Probability and Statistics)

S. James Press
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Shorter, more concise chapters provide flexible coverage of the subject.Expanded coverage includes: uncertainty and randomness, prior distributions, predictivism, estimation, analysis of variance, and classification and imaging.Includes topics not covered in other books, such as the de Finetti Transform.Author S. James Press is the modern guru of Bayesian statistics.
Kategori:
Mathematics
Tahun:
2002
Edisi:
2
Penerbit:
Wiley-Interscience
Bahasa:
english
Halaman:
600
ISBN 10:
0471348430
Fail:
DJVU, 28.12 MB
IPFS:
CID , CID Blake2b
english, 2002
Memuat turun (djvu, 28.12 MB)
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Istilah utama

 
prior
bayesian
posterior
probability
density
bayes
distributions
analysis
function
models
theorem
likelihood
suppose
matrix
parameters
sample
equation
inference
statistical
methods
event
exp
decision
statistics
multivariate
linear
random
subjective
regression
statist
approach
unknown
variables
denotes
ratio
estimation
parameter
marginal
probabilities
values
conditional
variance
vague
interval
testing
sampling
vector
conjugate
independent
priors
predictive
events
factors
discrete
estimator
hierarchical
belief
joint
assume
functions

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