Peter D. Hoff
Springer New York
1e druk, 2009
9780387922997
A First Course in Bayesian Statistical Methods
Specificaties
Gebonden, 272 blz.
|
Engels
Springer New York |
1e druk, 2009
ISBN13: 9780387922997
Rubricering
Onderdeel van serie
Springer Texts in Statistics
Levertijd ongeveer 8 werkdagen
Samenvatting
A self-contained introduction to probability, exchangeability and Bayes’ rule provides a theoretical understanding of the applied material.
Numerous examples with R-code that can be run "as-is" allow the reader to perform the data analyses themselves.
The development of Monte Carlo and Markov chain Monte Carlo methods in the context of data analysis examples provides motivation for these computational methods.
Specificaties
ISBN13:9780387922997
Taal:Engels
Bindwijze:gebonden
Aantal pagina's:272
Uitgever:Springer New York
Druk:1
Inhoudsopgave
and examples.- Belief, probability and exchangeability.- One-parameter models.- Monte Carlo approximation.- The normal model.- Posterior approximation with the Gibbs sampler.- The multivariate normal model.- Group comparisons and hierarchical modeling.- Linear regression.- Nonconjugate priors and Metropolis-Hastings algorithms.- Linear and generalized linear mixed effects models.- Latent variable methods for ordinal data.