Interdisciplinary Bayesian Statistics

Name: Interdisciplinary Bayesian Statistics
Brand: Springer International Publishing AG
SKU: 9783319124537
Price: 105.43 EUR
Availability: InStock

EBEB 2014

Автор: Adriano Polpo de Campos, Francisco Louzada Neto, Laura Ramos Rifo, Julio Michael Stern, Marcelo Lauretto

Език:

Корици: С твърди корици

Издател: Springer International Publishing AG

Наличност: Външен склад

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105.43 € 206.21 лв

Through refereed papers, this volume focuses on the foundations of the Bayesian paradigm; their comp...

Информация за книгата

Автор

Adriano Polpo de Campos, Francisco Louzada Neto, Laura Ramos Rifo, Julio Michael Stern, Marcelo Lauretto

Език

Английски език

Корици

Книга - С твърди корици

Издадена

2015

страници

366

EAN

9783319124537

ISBN

3319124536

Enbook ID

07177354

Издател

Springer International Publishing AG

Теглоt

6978

Размери

155 x 235 x 24

Пълно описание

Through refereed papers, this volume focuses on the foundations of the Bayesian paradigm; their comparison to objectivistic or frequentist Statistics counterparts; and the appropriate application of Bayesian foundations. This research in Bayesian Statistics is applicable to data analysis in biostatistics, clinical trials, law, engineering, and the social sciences. EBEB, the Brazilian Meeting on Bayesian Statistics, is held every two years by the ISBrA, the International Society for Bayesian Analysis, one of the most active chapters of the ISBA. The 12th meeting took place March 10-14, 2014 in Atibaia. Interest in foundations of inductive Statistics has grown recently in accordance with the increasing availability of Bayesian methodological alternatives. Scientists need to deal with the ever more difficult choice of the optimal method to apply to their problem. This volume shows how Bayes can be the answer. The examination and discussion on the foundations work towards the goal of proper application of Bayesian methods by the scientific community. Individual papers range in focus from posterior distributions for non-dominated models, to combining optimization and randomization approaches for the design of clinical trials, and classification of archaeological fragments with Bayesian networks.§

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Interdisciplinary Bayesian Statistics

EBEB 2014

Информация за книгата

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