Empirical Bayes Methods

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Empirical Bayes Methods With Applications

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Author : J.S. Maritz
language : en
Publisher: CRC Press
Release Date : 2018-01-18

Empirical Bayes Methods With Applications written by J.S. Maritz and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-18 with Mathematics categories.

The second edition of Empirical Bayes Methods details are provided of the derivation and the performance of empirical Bayes rules for a variety of special models. Attention is given to the problem of assessing the goodness of an empirical Bayes estimator for a given set of prior data. A chapter is devoted to a discussion of alternatives to the empirical Bayes approach and there is also a chapter giving details of several actual applications of empirical Bayes method.

Empirical Bayes Methods

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Author : J. S. Maritz
language : en
Publisher:
Release Date : 1970

Empirical Bayes Methods written by J. S. Maritz and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1970 with Mathematics categories.

Bayes And Empirical Bayes Methods For Data Analysis

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Author : Bradley P. Carlin
language : en
Publisher:
Release Date : 1996

Bayes And Empirical Bayes Methods For Data Analysis written by Bradley P. Carlin and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Analysis of variance categories.

Large Scale Inference

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Author : Bradley Efron
language : en
Publisher: Cambridge University Press
Release Date : 2012-11-29

Large Scale Inference written by Bradley Efron and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-11-29 with Mathematics categories.

We live in a new age for statistical inference, where modern scientific technology such as microarrays and fMRI machines routinely produce thousands and sometimes millions of parallel data sets, each with its own estimation or testing problem. Doing thousands of problems at once is more than repeated application of classical methods. Taking an empirical Bayes approach, Bradley Efron, inventor of the bootstrap, shows how information accrues across problems in a way that combines Bayesian and frequentist ideas. Estimation, testing and prediction blend in this framework, producing opportunities for new methodologies of increased power. New difficulties also arise, easily leading to flawed inferences. This book takes a careful look at both the promise and pitfalls of large-scale statistical inference, with particular attention to false discovery rates, the most successful of the new statistical techniques. Emphasis is on the inferential ideas underlying technical developments, illustrated using a large number of real examples.

Bayes And Empirical Bayes Methods For Data Analysis Second Edition

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Author : Bradley P. Carlin
language : en
Publisher: Chapman and Hall/CRC
Release Date : 2000-06-22

Bayes And Empirical Bayes Methods For Data Analysis Second Edition written by Bradley P. Carlin and has been published by Chapman and Hall/CRC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-06-22 with Mathematics categories.

In recent years, Bayes and empirical Bayes (EB) methods have continued to increase in popularity and impact. Building on the first edition of their popular text, Carlin and Louis introduce these methods, demonstrate their usefulness in challenging applied settings, and show how they can be implemented using modern Markov chain Monte Carlo (MCMC) methods. Their presentation is accessible to those new to Bayes and empirical Bayes methods, while providing in-depth coverage valuable to seasoned practitioners. With its broad appeal as a text for those in biomedical science, education, social science, agriculture, and engineering, this second edition offers a relatively gentle and comprehensive introduction for students and practitioners already familiar with more traditional frequentist statistical methods. Focusing on practical tools for data analysis, the book shows how properly structured Bayes and EB procedures typically have good frequentist and Bayesian performance, both in theory and in practice.

Empirical Bayes Methods In Times Series Analysis

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Author : Taghi M. Khoshgoftaar
language : en
Publisher:
Release Date : 1982

Empirical Bayes Methods In Times Series Analysis written by Taghi M. Khoshgoftaar and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1982 with categories.

Empirical Bayes Methods In Mixed Linear Models

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Author : Marta Lydia Zanelli
language : en
Publisher:
Release Date : 1985

Empirical Bayes Methods In Mixed Linear Models written by Marta Lydia Zanelli and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1985 with Linear models (Statistics) categories.

Empirical Bayes Methods

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Author : Henry I. Braun
language : en
Publisher:
Release Date : 1988

Empirical Bayes Methods written by Henry I. Braun and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1988 with Bayesian statistical decision theory categories.

A Mixture Model Approach To Empirical Bayes Testing And Estimation

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Author : Omkar Muralidharan
language : en
Publisher: Stanford University
Release Date : 2011

A Mixture Model Approach To Empirical Bayes Testing And Estimation written by Omkar Muralidharan and has been published by Stanford University this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with categories.

Many modern statistical problems require making similar decisions or estimates for many different entities. For example, we may ask whether each of 10,000 genes is associated with some disease, or try to measure the degree to which each is associated with the disease. As in this example, the entities can often be divided into a vast majority of "null" objects and a small minority of interesting ones. Empirical Bayes is a useful technique for such situations, but finding the right empirical Bayes method for each problem can be difficult. Mixture models, however, provide an easy and effective way to apply empirical Bayes. This thesis motivates mixture models by analyzing a simple high-dimensional problem, and shows their practical use by applying them to detecting single nucleotide polymorphisms.

Empirical Bayes Methods Applied To Non Life Insurance

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Author : Camilla Frank
language : en
Publisher:
Release Date : 1994

Empirical Bayes Methods Applied To Non Life Insurance written by Camilla Frank and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with categories.