Vendeur
WorldofBooks, Goring-By-Sea, WS, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Vendeur AbeBooks depuis 16 mars 2007
N° de réf. du vendeur GOR013090027
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:
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.
À propos de l?auteur: Peter Lee, Department of Mathematics & Formerly Provost of Wentworth College, University of York.
Titre : Bayesian Statistics: An Introduction, 4th ...
Éditeur : Wiley
Date d'édition : 2012
Reliure : Paperback
Etat : Fine
Edition : 4ème Édition
Vendeur : Andrew Isles Natural History Books, Prahran, VIC, Australie
fourth edition).Octavo,462 pp.,softcover. Now in its fourth edition, this book looks at recent techniques such as variational methods, Bayesian importance sampling, approximate Bayesian computation and Reversible Jump Markov Chain Monte Carlo (RJMCMC). This book provides 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 also includes expanded coverage of Gibbs sampling, including mor numerical examples and treatments of OpenBUGS, R2WinBUGS and R2OpenBUGS. 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. N° de réf. du vendeur 34924
Quantité disponible : 1 disponible(s)
Vendeur : Better World Books, Mishawaka, IN, Etats-Unis
Etat : Very Good. Used book that is in excellent condition. May show signs of wear or have minor defects. N° de réf. du vendeur 12526203-6
Quantité disponible : 1 disponible(s)
Vendeur : TextbookRush, Grandview Heights, OH, Etats-Unis
Etat : Brand New. N° de réf. du vendeur 55347416
Quantité disponible : 6 disponible(s)
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
Etat : New. N° de réf. du vendeur 15578680-n
Quantité disponible : Plus de 20 disponibles
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur FW-9781118332573
Quantité disponible : 15 disponible(s)
Vendeur : Chiron Media, Wallingford, Royaume-Uni
Paperback. Etat : New. N° de réf. du vendeur 6666-GRD-9781118332573
Quantité disponible : 2 disponible(s)
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
Etat : New. In. N° de réf. du vendeur ria9781118332573_new
Quantité disponible : Plus de 20 disponibles
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
Etat : New. N° de réf. du vendeur 15578680-n
Quantité disponible : Plus de 20 disponibles
Vendeur : Chiron Media, Wallingford, Royaume-Uni
PF. Etat : New. N° de réf. du vendeur 6666-IUK-9781118332573
Quantité disponible : 10 disponible(s)
Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-Uni
Paperback / softback. Etat : New. New copy - Usually dispatched within 4 working days. N° de réf. du vendeur B9781118332573
Quantité disponible : Plus de 20 disponibles