Hoff, Peter D. <br/><br/>
A First Course in Bayesian Statistical Methods / 
Peter D. Hoff. 
 - London ;  New York :  Springer,  c2009. 
 - ix, 270 p. : 
<br/><br/>Introduction 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. 
<br/><br/><label>ISBN: </label>9781441928283 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Bayesian statistical decision theory.<br/>Social sciences--Statistical methods.<br/>Statistique bayésienne.<br/>Methode van Bayes.<br/>Bayes-Verfahren.
<br/><br/><label>Dewey Class. No.: </label>519.2  / HOF/F