Frete Grátis
  • Google Plus
  • 1003355232
  • 1003355508

Bayesian Statistics - An Introduction 4Th Edition (Cód: 9239934)

Lee,Peter M

Whurr Publishing

Ooops! Este produto não está mais a venda.
Mas não se preocupe, temos uma versão atualizada para você.

Ooopss! Este produto está fora de linha, mas temos outras opções para você.
Veja nossas sugestões abaixo!

R$ 357,80 em até 10x de R$ 35,78 sem juros
Cartão Saraiva R$ 339,91 (-5%) em até 1x no cartão ou em até 15x de R$ 23,85 sem juros

Crédito:
Boleto:
Cartão Saraiva:

Total: R$0,00

Em até 10x sem juros de R$ 0,00


Bayesian Statistics - An Introduction 4Th Edition

R$357,80

Quer comprar em uma loja física? Veja a disponibilidade deste produto
?

Entregas internacionais: Consulte prazos e valores de entrega para regiões fora do Brasil na página do Carrinho.

ou receba na loja com frete grátis

X
Formas de envio Custo Entrega estimada

* Válido para compras efetuadas em dias úteis até às 15:00, horário de Brasília, com cartão de crédito e aprovadas na primeira tentativa.

X Consulte as lojas participantes

Saraiva MegaStore Shopping Eldorado Av. Rebouças, 3970 - 1º piso - Pinheiros CEP: 05402-600 - São Paulo - SP

Descrição

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. 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.

Características

Produto sob encomenda Sim
Marca Whurr Publishing
Cód. Barras 9781118332573
Altura 22.61 cm
I.S.B.N. 9781118332573
Profundidade 2.29 cm
Referência 019412707
Acabamento Brochura
Número da edição 4
Ano da edição 2012
Idioma Inglês
Número de Páginas 486
Peso 0.61 Kg
Largura 14.99 cm
AutorLee,Peter M

Avaliações

Avaliação geral: 0

Você está revisando: Bayesian Statistics - An Introduction 4Th Edition