"Bayesian theory" . . "Probabilité" . . "Probabilité." . "Teoretisk statistik" . . "Anvendt statistik" . . "Halsted Press." . . "Bajesov teorem." . . "Bayes-Methode." . . "Mathematical statistics." . . "Mathematical statistics" . "Statistique." . . "Decisión, Toma de." . . "Inferencia Parametrica." . . "Bayes-Entscheidungstheorie Lehrbuch." . . "Bayes theorem." . . "Bayes Theorem." . "Bayesian statistical decision theory." . . "Bayesian statistical decision theory" . "Théorie de la décision bayésienne." . . "Edward Arnold Publishers." . . "Anàlisi multivariable." . . "MATHEMATICS Probability & Statistics Bayesian Analysis." . . "MATHEMATICS / Probability & Statistics / Bayesian Analysis" . "MATHEMATICS / Probability & Statistics / Bayesian Analysis." . "analyse variance." . . "Analyse statistique." . . "Wiskundige statistiek." . . "Statistika." . . "Prise de décision (statistique)." . . "Statistiques bayésienne." . . "Statystyka Bayesa." . . "Teoria di Bayes." . . "Methode van Bayes." . . "Théorie de la décision bayésienne Problèmes et exercices." . . "Decisión bayesiana, Teoría de la." . . "Bayesian statistical decision making" . . "Bayesian statistical decision making." . "Decisió estadística bayesiana, Teoria de la." . . "Großbritannien." . . "Bayes-Entscheidungstheorie." . . "Bayes-Entscheidungstheorie" . "Théorie de la décision bayésienne Manuels d'enseignement supérieur." . . "Inferência bayesiana (análise de séries temporais)" . . . . "Bayes-Verfahren." . . "méthodes bayésiennes." . . "Mathematics." . . "statistique théorie de Bayes." . . "Bayes se statistiese beslissingsteorie." . . "Statistique mathématique Manuels d'enseignement supérieur." . . "Statistics." . . "théorème Bayes." . . "Statistische Methodenlehre Theorie." . . "Statistique bayésienne." . . "Statistique bayésienne" . "statistique bayésienne." . "Teoría bayesiana de decisiones estadísticas." . . "Statistique science." . . . . . "* Presents significant new material on recent techniques such as Bayesian importance sampling, variational Bayes, Approximate Bayesian Computation (ABC) and Reversible Jump Markov Chain Monte Carlo (RJMCMC)." . . . . . . "Bayesian Statistics is the school of thought that combines prior beliefs with the likelihood of a hypothesis to arrive at posterior beliefs. The first edition of Peter Lee & rsquo;s book appeared in 1989, but the subject has moved ever onwards, with increasing emphasis on Monte Carlo based techniques. This new fourth edition looks at recent techniques such as variational methods, Bayesian importance sampling, approximate Bayesian computation and Reversible Jump Markov Chain Monte Carlo (RJMCMC), providing a concise account of the way in which the Bayesian approach to statistics develops as well a."@en . . . . . . . . . . . . . "Bayesian Statistics is the school of thought that combines prior beliefs with the likelihood of a hypothesis to arrive at posterior beliefs. The first edition of Peter Lee's book appeared in 1989, but the subject has moved ever onwards, with increasing emphasis on Monte Carlo based techniques." . . . "Matériel didactique" . . . . . . . . . . . "Bayesian Statistics : an introduction" . . "This new fourth edition looks at recent techniques such as variational methods, Bayesian importance sampling, approximate Bayesian computation and Reversible Jump Markov Chain Monte Carlo (RJMCMC), providing a concise account of the way in which the Bayesian approach to statistics develops as well as how it contrasts with the conventional approach. The theory is built up step by step, and important notions such as sufficiency are brought out of a discussion of the salient features of specific examples." . . . . . . . . . "Bayesian Statistics an Introduction"@en . . . . . . . . . "\"--Presents extensive examples throughout the book to complement the theory presented. Includes significant new material on recent techniques such as variational methods, importance sampling, approximate computation and reversible jump MCMC\"--" . . . . . . . . . . . . . . . . . . . "Electronic books"@en . "Electronic books" . . . . . . . . "More and more students are realizing that they need to learn Bayesian statistics to meet their academic and professional goals. This book is best suited for use as a main text in courses on Bayesian statistics for third and fourth year undergraduates and postgraduate students." . . . . . . . . . . . . . . . . "Livres électroniques" . . . . . . . . "Bayesian statistics : an introduction"@en . "Bayesian statistics : an introduction" . . . . . . . . . . . . "* Accompanied by a supporting website featuring new material and solutions." . "Bayesian Statistics : An Introduction" . . . . "* Includes expanded coverage of Gibbs sampling, including more numerical examples and treatments of OpenBUGS, R2WinBUGS and R2OpenBUGS." . . . . . . "Bayesian Statistics is the school of thought that combines prior beliefs with the likelihood of a hypothesis to arrive at posterior beliefs. The first edition of Peter Lee's book appeared in 1989, but the subject has moved ever onwards, with increasing emphasis on Monte Carlo based techniques. This new fourth edition looks at recent techniques such as variational methods, Bayesian importance sampling, approximate Bayesian computation and Reversible Jump Markov Chain Monte Carlo (RJMCMC), providing a concise account of the way in which the Bayesian approach to statistics develops as well as how it contrasts with the conventional approach. The theory is built up step by step, and important notions such as sufficiency are brought out of a discussion of the salient features of specific examples. This edition: -Includes expanded coverage of Gibbs sampling, including more numerical examples and treatments of OpenBUGS, R2WinBUGS and R2OpenBUGS.-Presents significant new material on recent techniques such as Bayesian importance sampling, variational Bayes, Approximate Bayesian Computation (ABC) and Reversible Jump Markov Chain Monte Carlo (RJMCMC).-Provides extensive examples throughout the book to complement the theory presented.-Accompanied by a supporting website featuring new material and solutions. More and more students are realizing that they need to learn Bayesian statistics to meet their academic and professional goals. This book is best suited for use as a main text in courses on Bayesian statistics for third and fourth year undergraduates and postgraduate students."@en . "\"Presents extensive examples throughout the book to complement the theory presented.Includes significant new material on recent techniques such as variational methods, importance sampling, approximate computation and reversible jump MCMC\"--" . . . . . . . . "\"- Presents extensive examples throughout the book to complement the theory presented.Includes significant new material on recent techniques such as variational methods, importance sampling, approximate computation and reversible jump MCMC\"--" . "* Provides extensive examples throughout the book to complement the theory presented." . "Bayesian statistics" . "[Source : 4e de couv.]." . . . "Bayesian statistics an introduction"@en . "Bayesian statistics an introduction" . . "Bayesian Statistics An Introduction" . . . . . . . . . "CD-ROM." . . "Estadística bayesiana." . . "distribution statistique." . . "Méthodes statistiques." . . "Statistica." . .