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Bayesian Evaluation Of Informative Hypotheses


Bayesian Evaluation Of Informative Hypotheses
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Bayesian Evaluation Of Informative Hypotheses


Bayesian Evaluation Of Informative Hypotheses
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Author : Herbert Hoijtink
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-09-08

Bayesian Evaluation Of Informative Hypotheses written by Herbert Hoijtink and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-09-08 with Social Science categories.


This book provides an overview of the developments in the area of Bayesian evaluation of informative hypotheses that took place since the publication of the ?rst paper on this topic in 2001 [Hoijtink, H. Con?rmatory latent class analysis, model selection using Bayes factors and (pseudo) likelihood ratio statistics. Multivariate Behavioral Research, 36, 563–588]. The current state of a?airs was presented and discussed by the authors of this book during a workshop in Utrecht in June 2007. Here we would like to thank all authors for their participation, ideas, and contributions. We would also like to thank Sophie van der Zee for her editorial e?orts during the construction of this book. Another word of thanks is due to John Kimmel of Springer for his con?dence in the editors and authors. Finally, we would like to thank the Netherlands Organization for Scienti?c Research (NWO) whose VICI grant (453-05-002) awarded to the ?rst author enabled the organization of the workshop, the writing of this book, and continuation of the research with respect to Bayesian evaluation of informative hypotheses.



Bayesian Evaluation Of Informative Hypotheses


Bayesian Evaluation Of Informative Hypotheses
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Author : Herbert Hoijtink
language : en
Publisher: Springer
Release Date : 2008-10-06

Bayesian Evaluation Of Informative Hypotheses written by Herbert Hoijtink and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-10-06 with Social Science categories.


This book provides an overview of the developments in the area of Bayesian evaluation of informative hypotheses that took place since the publication of the ?rst paper on this topic in 2001 [Hoijtink, H. Con?rmatory latent class analysis, model selection using Bayes factors and (pseudo) likelihood ratio statistics. Multivariate Behavioral Research, 36, 563–588]. The current state of a?airs was presented and discussed by the authors of this book during a workshop in Utrecht in June 2007. Here we would like to thank all authors for their participation, ideas, and contributions. We would also like to thank Sophie van der Zee for her editorial e?orts during the construction of this book. Another word of thanks is due to John Kimmel of Springer for his con?dence in the editors and authors. Finally, we would like to thank the Netherlands Organization for Scienti?c Research (NWO) whose VICI grant (453-05-002) awarded to the ?rst author enabled the organization of the workshop, the writing of this book, and continuation of the research with respect to Bayesian evaluation of informative hypotheses.



Informative Hypotheses


Informative Hypotheses
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Author : Herbert Hoijtink
language : en
Publisher: CRC Press
Release Date : 2011-10-26

Informative Hypotheses written by Herbert Hoijtink and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-10-26 with Mathematics categories.


When scientists formulate their theories, expectations, and hypotheses, they often use statements like: ``I expect mean A to be bigger than means B and C"; ``I expect that the relation between Y and both X1 and X2 is positive"; and ``I expect the relation between Y and X1 to be stronger than the relation between Y and X2". Stated otherwise, they fo



Modeling Dose Response Microarray Data In Early Drug Development Experiments Using R


Modeling Dose Response Microarray Data In Early Drug Development Experiments Using R
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Author : Dan Lin
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-08-27

Modeling Dose Response Microarray Data In Early Drug Development Experiments Using R written by Dan Lin and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-08-27 with Mathematics categories.


This book focuses on the analysis of dose-response microarray data in pharmaceutical settings, the goal being to cover this important topic for early drug development experiments and to provide user-friendly R packages that can be used to analyze this data. It is intended for biostatisticians and bioinformaticians in the pharmaceutical industry, biologists, and biostatistics/bioinformatics graduate students. Part I of the book is an introduction, in which we discuss the dose-response setting and the problem of estimating normal means under order restrictions. In particular, we discuss the pooled-adjacent-violator (PAV) algorithm and isotonic regression, as well as inference under order restrictions and non-linear parametric models, which are used in the second part of the book. Part II is the core of the book, in which we focus on the analysis of dose-response microarray data. Methodological topics discussed include: • Multiplicity adjustment • Test statistics and procedures for the analysis of dose-response microarray data • Resampling-based inference and use of the SAM method for small-variance genes in the data • Identification and classification of dose-response curve shapes • Clustering of order-restricted (but not necessarily monotone) dose-response profiles • Gene set analysis to facilitate the interpretation of microarray results • Hierarchical Bayesian models and Bayesian variable selection • Non-linear models for dose-response microarray data • Multiple contrast tests • Multiple confidence intervals for selected parameters adjusted for the false coverage-statement rate All methodological issues in the book are illustrated using real-world examples of dose-response microarray datasets from early drug development experiments.



Bayesian Theory


Bayesian Theory
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Author : José M. Bernardo
language : en
Publisher: John Wiley & Sons
Release Date : 2009-09-25

Bayesian Theory written by José M. Bernardo and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-09-25 with Mathematics categories.


This highly acclaimed text, now available in paperback, provides a thorough account of key concepts and theoretical results, with particular emphasis on viewing statistical inference as a special case of decision theory. Information-theoretic concepts play a central role in the development of the theory, which provides, in particular, a detailed discussion of the problem of specification of so-called prior ignorance . The work is written from the authors s committed Bayesian perspective, but an overview of non-Bayesian theories is also provided, and each chapter contains a wide-ranging critical re-examination of controversial issues. The level of mathematics used is such that most material is accessible to readers with knowledge of advanced calculus. In particular, no knowledge of abstract measure theory is assumed, and the emphasis throughout is on statistical concepts rather than rigorous mathematics. The book will be an ideal source for all students and researchers in statistics, mathematics, decision analysis, economic and business studies, and all branches of science and engineering, who wish to further their understanding of Bayesian statistics



Advancing Quantitative Methods In Second Language Research


Advancing Quantitative Methods In Second Language Research
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Author : Luke Plonsky
language : en
Publisher: Routledge
Release Date : 2015-07-03

Advancing Quantitative Methods In Second Language Research written by Luke Plonsky and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-07-03 with Language Arts & Disciplines categories.


Advancing Quantitative Methods in Second Language Research is the first hands-on guide to conducting advanced research methods in the fields of applied linguistics and second language studies. While a number of texts discuss basic quantitative research methodology, none focus exclusively on providing coverage of alternative advanced statistical procedures in second language studies from a practical approach. The text is bookended by discussions of these advanced procedures in the larger context of second language studies, debating their strengths, weaknesses, and potential for further research; the remaining chapters are how-to sections, each chapter following the same organization, on a wide variety of advanced research methods. By offering much-needed coverage on advanced statistical concepts and procedures, with an eye toward real-world implementation, Advancing Quantitative Methods in Second Language Research enhances the methodological repertoire of graduate students and researchers in applied linguistics and second language studies. For additional content, visit: http://oak.ucc.nau.edu/ldp3/AQMSLR.html



A First Course In Bayesian Statistical Methods


A First Course In Bayesian Statistical Methods
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Author : Peter D. Hoff
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-06-02

A First Course In Bayesian Statistical Methods written by Peter D. Hoff and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-06-02 with Mathematics categories.


A self-contained introduction to probability, exchangeability and Bayes’ rule provides a theoretical understanding of the applied material. Numerous examples with R-code that can be run "as-is" allow the reader to perform the data analyses themselves. The development of Monte Carlo and Markov chain Monte Carlo methods in the context of data analysis examples provides motivation for these computational methods.



Cognitive Modeling In Perception And Memory


Cognitive Modeling In Perception And Memory
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Author : J G W Raaijmakers
language : en
Publisher: Psychology Press
Release Date : 2015-02-11

Cognitive Modeling In Perception And Memory written by J G W Raaijmakers and has been published by Psychology Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-02-11 with Psychology categories.


The work of Richard M. Shiffrin has highly impacted the field of cognitive science, and current developments within perception and memory have been influenced by his ideas. In this volume, several key figures in the field will comment on these developments and put them in a wider perspective. Although many theories and models have been presented in recent years for various aspects of human cognition, there have not been many comparative evaluations that focus on how these models have really advanced our understanding of the underlying mechanisms. This volume will be a valuable source of information for both cognitive scientists working in the field, and researchers and students looking for a clear, accessible presentation of the key problems in cognitive science. Highlighted sections include attention and perception, memory functions and processes, knowledge representation and semantics, modelling approaches and applications.



Migrations Interdisciplinary Perspectives


Migrations Interdisciplinary Perspectives
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Author : Michi Messer
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-05-26

Migrations Interdisciplinary Perspectives written by Michi Messer and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-05-26 with Social Science categories.


This volume covers the most important contributions to and discussions at the international symposium Migrations: Interdisciplinary Perspectives (1-3, July, University of Vienna), organised by Renée Schroeder and Ruth Wodak which was dedicated to the multiple interdisciplinary dimensions of ‘migrations’, both from the viewpoints of the Social Sciences and Humanities as well as from the manifold perspectives of the Natural Sciences. The book is organized along the following dimensions: Urban Development and Migration Peer Relations in Immigrant Adolescents: Methodological Challenges and Key Findings Migration, Identity, and Belonging Migration in/and Ego Documents Debating Migration Fundamentals of Diffusion and Spread in the Natural Sciences and beyond Media Representations of Migrants and Migration Migration and the Genes



Bayesian Data Analysis Third Edition


Bayesian Data Analysis Third Edition
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Author : Andrew Gelman
language : en
Publisher: CRC Press
Release Date : 2013-11-01

Bayesian Data Analysis Third Edition written by Andrew Gelman and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-11-01 with Mathematics categories.


Now in its third edition, this classic book is widely considered the leading text on Bayesian methods, lauded for its accessible, practical approach to analyzing data and solving research problems. Bayesian Data Analysis, Third Edition continues to take an applied approach to analysis using up-to-date Bayesian methods. The authors—all leaders in the statistics community—introduce basic concepts from a data-analytic perspective before presenting advanced methods. Throughout the text, numerous worked examples drawn from real applications and research emphasize the use of Bayesian inference in practice. New to the Third Edition Four new chapters on nonparametric modeling Coverage of weakly informative priors and boundary-avoiding priors Updated discussion of cross-validation and predictive information criteria Improved convergence monitoring and effective sample size calculations for iterative simulation Presentations of Hamiltonian Monte Carlo, variational Bayes, and expectation propagation New and revised software code The book can be used in three different ways. For undergraduate students, it introduces Bayesian inference starting from first principles. For graduate students, the text presents effective current approaches to Bayesian modeling and computation in statistics and related fields. For researchers, it provides an assortment of Bayesian methods in applied statistics. Additional materials, including data sets used in the examples, solutions to selected exercises, and software instructions, are available on the book’s web page.