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Author : A. DasGupta
Publisher :
ISBN 13 :
Total Pages : 35 pages
Book Rating : 4.:/5 (897 download)
Download or read book An Examination of Bayesian Methods and Inference: in Search of the Truth written by A. DasGupta and published by . This book was released on 1994 with total page 35 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Thomas Leonard
Publisher : Cambridge University Press
ISBN 13 : 9780521004145
Total Pages : 352 pages
Book Rating : 4.0/5 (41 download)
Download or read book Bayesian Methods written by Thomas Leonard and published by Cambridge University Press. This book was released on 2001-08-06 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bayesian statistics directed towards mainstream statistics. How to infer scientific, medical, and social conclusions from numerical data.
Author : James O Berger
Publisher : World Scientific
ISBN 13 : 981128492X
Total Pages : 381 pages
Book Rating : 4.8/5 (112 download)
Download or read book Objective Bayesian Inference written by James O Berger and published by World Scientific. This book was released on 2024-03-06 with total page 381 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bayesian analysis is today understood to be an extremely powerful method of statistical analysis, as well an approach to statistics that is particularly transparent and intuitive. It is thus being extensively and increasingly utilized in virtually every area of science and society that involves analysis of data.A widespread misconception is that Bayesian analysis is a more subjective theory of statistical inference than what is now called classical statistics. This is true neither historically nor in practice. Indeed, objective Bayesian analysis dominated the statistical landscape from roughly 1780 to 1930, long before 'classical' statistics or subjective Bayesian analysis were developed. It has been a subject of intense interest to a multitude of statisticians, mathematicians, philosophers, and scientists. The book, while primarily focusing on the latest and most prominent objective Bayesian methodology, does present much of this fascinating history.The book is written for four different audiences. First, it provides an introduction to objective Bayesian inference for non-statisticians; no previous exposure to Bayesian analysis is needed. Second, the book provides an overview of the development and current state of objective Bayesian analysis and its relationship to other statistical approaches, for those with interest in the philosophy of learning from data. Third, the book presents a careful development of the particular objective Bayesian approach that we recommend, the reference prior approach. Finally, the book presents as much practical objective Bayesian methodology as possible for statisticians and scientists primarily interested in practical applications.
Author : Giulio D'Agostini
Publisher : World Scientific
ISBN 13 : 981277551X
Total Pages : 351 pages
Book Rating : 4.8/5 (127 download)
Download or read book Bayesian Reasoning in Data Analysis written by Giulio D'Agostini and published by World Scientific. This book was released on 2003 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a multi-level introduction to Bayesian reasoning (as opposed to OC conventional statisticsOCO) and its applications to data analysis. The basic ideas of this OC newOCO approach to the quantification of uncertainty are presented using examples from research and everyday life. Applications covered include: parametric inference; combination of results; treatment of uncertainty due to systematic errors and background; comparison of hypotheses; unfolding of experimental distributions; upper/lower bounds in frontier-type measurements. Approximate methods for routine use are derived and are shown often to coincide OCo under well-defined assumptions! OCo with OC standardOCO methods, which can therefore be seen as special cases of the more general Bayesian methods. In dealing with uncertainty in measurements, modern metrological ideas are utilized, including the ISO classification of uncertainty into type A and type B. These are shown to fit well into the Bayesian framework.
Author : Nick Heard
Publisher : Springer Nature
ISBN 13 : 3030828085
Total Pages : 177 pages
Book Rating : 4.0/5 (38 download)
Download or read book An Introduction to Bayesian Inference, Methods and Computation written by Nick Heard and published by Springer Nature. This book was released on 2021-10-17 with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt: These lecture notes provide a rapid, accessible introduction to Bayesian statistical methods. The course covers the fundamental philosophy and principles of Bayesian inference, including the reasoning behind the prior/likelihood model construction synonymous with Bayesian methods, through to advanced topics such as nonparametrics, Gaussian processes and latent factor models. These advanced modelling techniques can easily be applied using computer code samples written in Python and Stan which are integrated into the main text. Importantly, the reader will learn methods for assessing model fit, and to choose between rival modelling approaches.
Author : John Earman
Publisher : National Geographic Books
ISBN 13 : 0262519003
Total Pages : 0 pages
Book Rating : 4.2/5 (625 download)
Download or read book Bayes or Bust? written by John Earman and published by National Geographic Books. This book was released on 1992-05-28 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bayes or Bust? provides the first balanced treatment of the complex set of issues involved in this nagging conundrum in the philosophy of science. There is currently no viable alternative to the Bayesian analysis of scientific inference, yet the available versions of Bayesianism fail to do justice to several aspects of the testing and confirmation of scientific hypotheses. Bayes or Bust? provides the first balanced treatment of the complex set of issues involved in this nagging conundrum in the philosophy of science. Both Bayesians and anti-Bayesians will find a wealth of new insights on topics ranging from Bayes's original paper to contemporary formal learning theory. In a paper published posthumously in 1763, the Reverend Thomas Bayes made a seminal contribution to the understanding of "analogical or inductive reasoning." Building on his insights, modem Bayesians have developed an account of scientific inference that has attracted numerous champions as well as numerous detractors. Earman argues that Bayesianism provides the best hope for a comprehensive and unified account of scientific inference, yet the presently available versions of Bayesianisin fail to do justice to several aspects of the testing and confirming of scientific theories and hypotheses. By focusing on the need for a resolution to this impasse, Earman sharpens the issues on which a resolution turns.
Author : Simon Jackman
Publisher : John Wiley & Sons
ISBN 13 : 9780470686638
Total Pages : 598 pages
Book Rating : 4.6/5 (866 download)
Download or read book Bayesian Analysis for the Social Sciences written by Simon Jackman and published by John Wiley & Sons. This book was released on 2009-10-27 with total page 598 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bayesian methods are increasingly being used in the social sciences, as the problems encountered lend themselves so naturally to the subjective qualities of Bayesian methodology. This book provides an accessible introduction to Bayesian methods, tailored specifically for social science students. It contains lots of real examples from political science, psychology, sociology, and economics, exercises in all chapters, and detailed descriptions of all the key concepts, without assuming any background in statistics beyond a first course. It features examples of how to implement the methods using WinBUGS – the most-widely used Bayesian analysis software in the world – and R – an open-source statistical software. The book is supported by a Website featuring WinBUGS and R code, and data sets.
Author : Jeff Gill
Publisher : CRC Press
ISBN 13 : 1420010824
Total Pages : 696 pages
Book Rating : 4.4/5 (2 download)
Download or read book Bayesian Methods written by Jeff Gill and published by CRC Press. This book was released on 2007-11-26 with total page 696 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first edition of Bayesian Methods: A Social and Behavioral Sciences Approach helped pave the way for Bayesian approaches to become more prominent in social science methodology. While the focus remains on practical modeling and basic theory as well as on intuitive explanations and derivations without skipping steps, this second edition incorpora
Author : Coryn A. L. Bailer-Jones
Publisher : Cambridge University Press
ISBN 13 : 1107192110
Total Pages : 306 pages
Book Rating : 4.1/5 (71 download)
Download or read book Practical Bayesian Inference written by Coryn A. L. Bailer-Jones and published by Cambridge University Press. This book was released on 2017-04-27 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the major concepts of probability and statistics, along with the necessary computational tools, for undergraduates and graduate students.
Author : Jeff Gill
Publisher : CRC Press
ISBN 13 : 1439862494
Total Pages : 689 pages
Book Rating : 4.4/5 (398 download)
Download or read book Bayesian Methods written by Jeff Gill and published by CRC Press. This book was released on 2014-12-11 with total page 689 pages. Available in PDF, EPUB and Kindle. Book excerpt: An Update of the Most Popular Graduate-Level Introductions to Bayesian Statistics for Social ScientistsNow that Bayesian modeling has become standard, MCMC is well understood and trusted, and computing power continues to increase, Bayesian Methods: A Social and Behavioral Sciences Approach, Third Edition focuses more on implementation details of th
Author : R.D. Rosenkrantz
Publisher : Springer Science & Business Media
ISBN 13 : 9401012377
Total Pages : 281 pages
Book Rating : 4.4/5 (1 download)
Download or read book Inference, Method and Decision written by R.D. Rosenkrantz and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book grew out of previously published papers of mine composed over a period of years; they have been reworked (sometimes beyond recognition) so as to form a reasonably coherent whole. Part One treats of informative inference. I argue (Chapter 2) that the traditional principle of induction in its clearest formulation (that laws are confirmed by their positive cases) is clearly false. Other formulations in terms of the 'uniformity of nature' or the 'resemblance of the future to the past' seem to me hopelessly unclear. From a Bayesian point of view, 'learning from experience' goes by conditionalization (Bayes' rule). The traditional stum bling block for Bayesians has been to fmd objective probability inputs to conditionalize upon. Subjective Bayesians allow any probability inputs that do not violate the usual axioms of probability. Many subjectivists grant that this liberality seems prodigal but own themselves unable to think of additional constraints that might plausibly be imposed. To be sure, if we could agree on the correct probabilistic representation of 'ignorance' (or absence of pertinent data), then all probabilities obtained by applying Bayes' rule to an 'informationless' prior would be objective. But familiar contra dictions, like the Bertrand paradox, are thought to vitiate all attempts to objectify 'ignorance'. BuUding on the earlier work of Sir Harold Jeffreys, E. T. Jaynes, and the more recent work ofG. E. P. Box and G. E. Tiao, I have elected to bite this bullet. In Chapter 3, I develop and defend an objectivist Bayesian approach.
Author : James Berger
Publisher : CRC Press
ISBN 13 : 1003837697
Total Pages : 564 pages
Book Rating : 4.0/5 (38 download)
Download or read book Handbook of Bayesian, Fiducial, and Frequentist Inference written by James Berger and published by CRC Press. This book was released on 2024-02-26 with total page 564 pages. Available in PDF, EPUB and Kindle. Book excerpt: The emergence of data science, in recent decades, has magnified the need for efficient methodology for analyzing data and highlighted the importance of statistical inference. Despite the tremendous progress that has been made, statistical science is still a young discipline and continues to have several different and competing paths in its approaches and its foundations. While the emergence of competing approaches is a natural progression of any scientific discipline, differences in the foundations of statistical inference can sometimes lead to different interpretations and conclusions from the same dataset. The increased interest in the foundations of statistical inference has led to many publications, and recent vibrant research activities in statistics, applied mathematics, philosophy and other fields of science reflect the importance of this development. The BFF approaches not only bridge foundations and scientific learning, but also facilitate objective and replicable scientific research, and provide scalable computing methodologies for the analysis of big data. Most of the published work typically focusses on a single topic or theme, and the body of work is scattered in different journals. This handbook provides a comprehensive introduction and broad overview of the key developments in the BFF schools of inference. It is intended for researchers and students who wish for an overview of foundations of inference from the BFF perspective and provides a general reference for BFF inference. Key Features: Provides a comprehensive introduction to the key developments in the BFF schools of inference Gives an overview of modern inferential methods, allowing scientists in other fields to expand their knowledge Is accessible for readers with different perspectives and backgrounds
Author : Lyle D. Broemeling
Publisher : CRC Press
ISBN 13 : 1420083430
Total Pages : 350 pages
Book Rating : 4.4/5 (2 download)
Download or read book Bayesian Methods for Measures of Agreement written by Lyle D. Broemeling and published by CRC Press. This book was released on 2009-01-12 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using WinBUGS to implement Bayesian inferences of estimation and testing hypotheses, Bayesian Methods for Measures of Agreement presents useful methods for the design and analysis of agreement studies. It focuses on agreement among the various players in the diagnostic process.The author employs a Bayesian approach to provide statistical inferences
Author : Bradley Efron
Publisher : Cambridge University Press
ISBN 13 : 1139492136
Total Pages : pages
Book Rating : 4.1/5 (394 download)
Download or read book Large-Scale Inference written by Bradley Efron and published by Cambridge University Press. This book was released on 2012-11-29 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author : Paul Gustafson
Publisher : CRC Press
ISBN 13 : 1439869405
Total Pages : 196 pages
Book Rating : 4.4/5 (398 download)
Download or read book Bayesian Inference for Partially Identified Models written by Paul Gustafson and published by CRC Press. This book was released on 2015-04-01 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bayesian Inference for Partially Identified Models: Exploring the Limits of Limited Data shows how the Bayesian approach to inference is applicable to partially identified models (PIMs) and examines the performance of Bayesian procedures in partially identified contexts. Drawing on his many years of research in this area, the author presents a thorough overview of the statistical theory, properties, and applications of PIMs. The book first describes how reparameterization can assist in computing posterior quantities and providing insight into the properties of Bayesian estimators. It next compares partial identification and model misspecification, discussing which is the lesser of the two evils. The author then works through PIM examples in depth, examining the ramifications of partial identification in terms of how inferences change and the extent to which they sharpen as more data accumulate. He also explains how to characterize the value of information obtained from data in a partially identified context and explores some recent applications of PIMs. In the final chapter, the author shares his thoughts on the past and present state of research on partial identification. This book helps readers understand how to use Bayesian methods for analyzing PIMs. Readers will recognize under what circumstances a posterior distribution on a target parameter will be usefully narrow versus uselessly wide.
Author : Tasha Fairfield
Publisher : Cambridge University Press
ISBN 13 : 1108421644
Total Pages : 683 pages
Book Rating : 4.1/5 (84 download)
Download or read book Social Inquiry and Bayesian Inference written by Tasha Fairfield and published by Cambridge University Press. This book was released on 2022-08-04 with total page 683 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides guidance for Bayesian updating in case study, process-tracing, and comparative research, in order to refine intuition and improve inferences from qualitative evidence.
Author : Jonah N. Schupbach
Publisher : Cambridge University Press
ISBN 13 : 110865942X
Total Pages : pages
Book Rating : 4.1/5 (86 download)
Download or read book Bayesianism and Scientific Reasoning written by Jonah N. Schupbach and published by Cambridge University Press. This book was released on 2022-01-31 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This Element explores the Bayesian approach to the logic and epistemology of scientific reasoning. Section 1 introduces the probability calculus as an appealing generalization of classical logic for uncertain reasoning. Section 2 explores some of the vast terrain of Bayesian epistemology. Three epistemological postulates suggested by Thomas Bayes in his seminal work guide the exploration. This section discusses modern developments and defenses of these postulates as well as some important criticisms and complications that lie in wait for the Bayesian epistemologist. Section 3 applies the formal tools and principles of the first two sections to a handful of topics in the epistemology of scientific reasoning: confirmation, explanatory reasoning, evidential diversity and robustness analysis, hypothesis competition, and Ockham's Razor.
