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The Oxford Handbook Of Applied Bayesian Analysis

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The Oxford Handbook of Applied Bayesian Analysis

The Oxford Handbook of Applied Bayesian Analysis Book
Author : Anthony O' Hagan,Mike West
Publisher : Oxford University Press
Release : 2010-03-18
ISBN : 0199548900
File Size : 45,8 Mb
Language : En, Es, Fr and De

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The Oxford Handbook of Applied Bayesian Analysis Book PDF/Epub Download

Bayesian Statistics is a dynamic and fast-growing area of statistical research with wide-ranging and far-reaching applications across science, technology, commerce, and industry. This Handbook explores contemporary Bayesian analysis across a variety of techniques and application areas.

The Oxford Handbook of Applied Bayesian Analysis

The Oxford Handbook of Applied Bayesian Analysis Book
Author : Anthony O' Hagan,Mike West
Publisher : OUP Oxford
Release : 2010-03-18
ISBN : 0191582824
File Size : 50,7 Mb
Language : En, Es, Fr and De

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The Oxford Handbook of Applied Bayesian Analysis Book PDF/Epub Download

Bayesian analysis has developed rapidly in applications in the last two decades and research in Bayesian methods remains dynamic and fast-growing. Dramatic advances in modelling concepts and computational technologies now enable routine application of Bayesian analysis using increasingly realistic stochastic models, and this drives the adoption of Bayesian approaches in many areas of science, technology, commerce, and industry. This Handbook explores contemporary Bayesian analysis across a variety of application areas. Chapters written by leading exponents of applied Bayesian analysis showcase the scientific ease and natural application of Bayesian modelling, and present solutions to real, engaging, societally important and demanding problems. The chapters are grouped into five general areas: Biomedical & Health Sciences; Industry, Economics & Finance; Environment & Ecology; Policy, Political & Social Sciences; and Natural & Engineering Sciences, and Appendix material in each touches on key concepts, models, and techniques of the chapter that are also of broader pedagogic and applied interest.

The Oxford Handbook of Bayesian Econometrics

The Oxford Handbook of Bayesian Econometrics Book
Author : John Geweke,Gary Koop,Herman van Dijk
Publisher : Oxford University Press
Release : 2011-09-29
ISBN : 0191618268
File Size : 54,7 Mb
Language : En, Es, Fr and De

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The Oxford Handbook of Bayesian Econometrics Book PDF/Epub Download

Bayesian econometric methods have enjoyed an increase in popularity in recent years. Econometricians, empirical economists, and policymakers are increasingly making use of Bayesian methods. This handbook is a single source for researchers and policymakers wanting to learn about Bayesian methods in specialized fields, and for graduate students seeking to make the final step from textbook learning to the research frontier. It contains contributions by leading Bayesians on the latest developments in their specific fields of expertise. The volume provides broad coverage of the application of Bayesian econometrics in the major fields of economics and related disciplines, including macroeconomics, microeconomics, finance, and marketing. It reviews the state of the art in Bayesian econometric methodology, with chapters on posterior simulation and Markov chain Monte Carlo methods, Bayesian nonparametric techniques, and the specialized tools used by Bayesian time series econometricians such as state space models and particle filtering. It also includes chapters on Bayesian principles and methodology.

The Oxford Handbook of Quantitative Methods

The Oxford Handbook of Quantitative Methods Book
Author : Todd D. Little
Publisher : Oxford Library of Psychology
Release : 2014
ISBN : 019937015X
File Size : 50,7 Mb
Language : En, Es, Fr and De

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The Oxford Handbook of Quantitative Methods Book PDF/Epub Download

This two-volume handbook on current best-practices in quantitative methods as practiced in the social, behavioral, and educational sciences covers philosophical and ethical issues, theory construction, model building and types of models, survey and experiment design, measurement issues, observational methods, statistical methods, types of analysis, types of data, and common research fallacies.

Bayesian Theory and Applications

Bayesian Theory and Applications Book
Author : Paul Damien,Petros Dellaportas,Nicholas G. Polson,David A. Stephens
Publisher : Oxford University Press
Release : 2013-01-24
ISBN : 0199695601
File Size : 33,7 Mb
Language : En, Es, Fr and De

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Bayesian Theory and Applications Book PDF/Epub Download

This volume guides the reader along a statistical journey that begins with the basic structure of Bayesian theory, and then provides details on most of the past and present advances in this field.

Bayesian Data Analysis Third Edition

Bayesian Data Analysis  Third Edition Book
Author : Andrew Gelman,John B. Carlin,Hal S. Stern,David B. Dunson,Aki Vehtari,Donald B. Rubin
Publisher : CRC Press
Release : 2013-11-01
ISBN : 1439840954
File Size : 52,5 Mb
Language : En, Es, Fr and De

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Bayesian Data Analysis Third Edition Book PDF/Epub Download

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.

Bayesian Statistics 9

Bayesian Statistics 9 Book
Author : José M. Bernardo,M. J. Bayarri,James O. Berger,A. P. Dawid,David Heckerman,Adrian F. M. Smith,Mike West
Publisher : Oxford University Press
Release : 2011-10-06
ISBN : 0191627852
File Size : 44,5 Mb
Language : En, Es, Fr and De

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Bayesian Statistics 9 Book PDF/Epub Download

The Valencia International Meetings on Bayesian Statistics - established in 1979 and held every four years - have been the forum for a definitive overview of current concerns and activities in Bayesian statistics. These are the edited Proceedings of the Ninth meeting, and contain the invited papers each followed by their discussion and a rejoinder by the authors(s). In the tradition of the earlier editions, this encompasses an enormous range of theoretical and applied research, high lighting the breadth, vitality and impact of Bayesian thinking in interdisciplinary research across many fields as well as the corresponding growth and vitality of core theory and methodology. The Valencia 9 invited papers cover a broad range of topics, including foundational and core theoretical issues in statistics, the continued development of new and refined computational methods for complex Bayesian modelling, substantive applications of flexible Bayesian modelling, and new developments in the theory and methodology of graphical modelling. They also describe advances in methodology for specific applied fields, including financial econometrics and portfolio decision making, public policy applications for drug surveillance, studies in the physical and environmental sciences, astronomy and astrophysics, climate change studies, molecular biosciences, statistical genetics or stochastic dynamic networks in systems biology.

Bayesian Statistics the Fun Way

Bayesian Statistics the Fun Way Book
Author : Will Kurt
Publisher : No Starch Press
Release : 2019-07-09
ISBN : 1593279566
File Size : 48,5 Mb
Language : En, Es, Fr and De

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Bayesian Statistics the Fun Way Book PDF/Epub Download

Fun guide to learning Bayesian statistics and probability through unusual and illustrative examples. Probability and statistics are increasingly important in a huge range of professions. But many people use data in ways they don't even understand, meaning they aren't getting the most from it. Bayesian Statistics the Fun Way will change that. This book will give you a complete understanding of Bayesian statistics through simple explanations and un-boring examples. Find out the probability of UFOs landing in your garden, how likely Han Solo is to survive a flight through an asteroid shower, how to win an argument about conspiracy theories, and whether a burglary really was a burglary, to name a few examples. By using these off-the-beaten-track examples, the author actually makes learning statistics fun. And you'll learn real skills, like how to: - How to measure your own level of uncertainty in a conclusion or belief - Calculate Bayes theorem and understand what it's useful for - Find the posterior, likelihood, and prior to check the accuracy of your conclusions - Calculate distributions to see the range of your data - Compare hypotheses and draw reliable conclusions from them Next time you find yourself with a sheaf of survey results and no idea what to do with them, turn to Bayesian Statistics the Fun Way to get the most value from your data.

Bayesian Statistics for Beginners

Bayesian Statistics for Beginners Book
Author : Therese M. Donovan,Ruth M. Mickey
Publisher : Oxford University Press, USA
Release : 2019
ISBN : 0198841299
File Size : 47,8 Mb
Language : En, Es, Fr and De

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Bayesian Statistics for Beginners Book PDF/Epub Download

This is an entry-level book on Bayesian statistics written in a casual, and conversational tone. The authors walk a reader through many sample problems step-by-step to provide those with little background in math or statistics with the vocabulary, notation, and understanding of the calculations used in many Bayesian problems.

Data Analysis

Data Analysis Book
Author : Devinderjit Sivia,John Skilling
Publisher : OUP Oxford
Release : 2006-06-02
ISBN : 0191546704
File Size : 30,9 Mb
Language : En, Es, Fr and De

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Data Analysis Book PDF/Epub Download

One of the strengths of this book is the author's ability to motivate the use of Bayesian methods through simple yet effective examples. - Katie St. Clair MAA Reviews.

The Oxford Handbook of Political Methodology

The Oxford Handbook of Political Methodology Book
Author : Janet M. Box-Steffensmeier,Henry E. Brady,David Collier
Publisher : Oxford Handbooks of Political
Release : 2008
ISBN : 9780199286546
File Size : 29,9 Mb
Language : En, Es, Fr and De

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The Oxford Handbook of Political Methodology Book PDF/Epub Download

The Oxford Handbooks of Political Science are the essential guide to the state of political science today. With engaging contributions from major international scholars The Oxford Handbook of Political Methodology provides the key point of reference for anyone working throughout the discipline.

Let the Evidence Speak

Let the Evidence Speak Book
Author : Alan Jessop
Publisher : Springer
Release : 2018-05-31
ISBN : 3319713922
File Size : 50,8 Mb
Language : En, Es, Fr and De

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Let the Evidence Speak Book PDF/Epub Download

This book presents the most important ideas behind Bayes’ Rule in a form suitable for the general reader. It is written without formulae because they are not necessary; the ability to add and multiply is all that is needed. As well as showing in full the application of Bayes’ Rule to some quantitatively simple, though not trivial, examples, the book also convincingly demonstrates that some familiarity with Bayes’ Rule is helpful in thinking about how best to structure one’s thinking.

Oxford Handbook of Medical Statistics

Oxford Handbook of Medical Statistics Book
Author : Janet Peacock,Philip Peacock
Publisher : Oxford University Press
Release : 2011
ISBN : 0199551286
File Size : 50,8 Mb
Language : En, Es, Fr and De

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Oxford Handbook of Medical Statistics Book PDF/Epub Download

The majority of medical research involves quantitative methods and so it is essential to be able to understand and interpret statistics. This book shows readers how to develop the skills required to critically appraise research evidence effectively, and how to conduct research and communicate their findings.

A Student s Guide to Bayesian Statistics

A Student   s Guide to Bayesian Statistics Book
Author : Ben Lambert
Publisher : SAGE
Release : 2018-04-20
ISBN : 1526418266
File Size : 20,8 Mb
Language : En, Es, Fr and De

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A Student s Guide to Bayesian Statistics Book PDF/Epub Download

Supported by a wealth of learning features, exercises, and visual elements as well as online video tutorials and interactive simulations, this book is the first student-focused introduction to Bayesian statistics. Without sacrificing technical integrity for the sake of simplicity, the author draws upon accessible, student-friendly language to provide approachable instruction perfectly aimed at statistics and Bayesian newcomers. Through a logical structure that introduces and builds upon key concepts in a gradual way and slowly acclimatizes students to using R and Stan software, the book covers: An introduction to probability and Bayesian inference Understanding Bayes' rule Nuts and bolts of Bayesian analytic methods Computational Bayes and real-world Bayesian analysis Regression analysis and hierarchical methods This unique guide will help students develop the statistical confidence and skills to put the Bayesian formula into practice, from the basic concepts of statistical inference to complex applications of analyses.

The Oxford Handbook of Quantitative Methods in Psychology Vol 2

The Oxford Handbook of Quantitative Methods in Psychology  Vol  2 Book
Author : Todd D. Little
Publisher : Oxford University Press
Release : 2013-03-21
ISBN : 0199934894
File Size : 53,6 Mb
Language : En, Es, Fr and De

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The Oxford Handbook of Quantitative Methods in Psychology Vol 2 Book PDF/Epub Download

The Oxford Handbook of Quantitative Methods in Psychology provides an accessible and comprehensive review of the current state-of-the-science and a one-stop source for learning and reviewing current best-practices in a quantitative methods across the social, behavioral, and educational sciences.

Bayesian Econometric Methods

Bayesian Econometric Methods Book
Author : Joshua Chan,Gary Koop,Dale J. Poirier,Justin L. Tobias
Publisher : Cambridge University Press
Release : 2019-08-15
ISBN : 1108423388
File Size : 27,9 Mb
Language : En, Es, Fr and De

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Bayesian Econometric Methods Book PDF/Epub Download

Illustrates Bayesian theory and application through a series of exercises in question and answer format.

Doing Bayesian Data Analysis

Doing Bayesian Data Analysis Book
Author : John Kruschke
Publisher : Academic Press
Release : 2010-11-25
ISBN : 9780123814869
File Size : 48,7 Mb
Language : En, Es, Fr and De

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Doing Bayesian Data Analysis Book PDF/Epub Download

There is an explosion of interest in Bayesian statistics, primarily because recently created computational methods have finally made Bayesian analysis tractable and accessible to a wide audience. Doing Bayesian Data Analysis, A Tutorial Introduction with R and BUGS, is for first year graduate students or advanced undergraduates and provides an accessible approach, as all mathematics is explained intuitively and with concrete examples. It assumes only algebra and ‘rusty’ calculus. Unlike other textbooks, this book begins with the basics, including essential concepts of probability and random sampling. The book gradually climbs all the way to advanced hierarchical modeling methods for realistic data. The text provides complete examples with the R programming language and BUGS software (both freeware), and begins with basic programming examples, working up gradually to complete programs for complex analyses and presentation graphics. These templates can be easily adapted for a large variety of students and their own research needs.The textbook bridges the students from their undergraduate training into modern Bayesian methods. Accessible, including the basics of essential concepts of probability and random sampling Examples with R programming language and BUGS software Comprehensive coverage of all scenarios addressed by non-bayesian textbooks- t-tests, analysis of variance (ANOVA) and comparisons in ANOVA, multiple regression, and chi-square (contingency table analysis). Coverage of experiment planning R and BUGS computer programming code on website Exercises have explicit purposes and guidelines for accomplishment

Applied Statistics

Applied Statistics Book
Author : Lothar Sachs
Publisher : Springer Science & Business Media
Release : 2012-12-06
ISBN : 1461252466
File Size : 25,5 Mb
Language : En, Es, Fr and De

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Applied Statistics Book PDF/Epub Download

This outline of statistics as an aid in decision making will introduce a reader with limited mathematical background to the most important modern statistical methods. This is a revised and enlarged version, with major extensions and additions, of my "Angewandte Statistik" (5th ed.), which has proved useful for research workers and for consulting statisticians. Applied statistics is at the same time a collection of applicable statistical methods and the application of these methods to measured and/or counted observations. Abstract mathematical concepts and derivations are avoided. Special emphasis is placed on the basic principles of statistical formulation, and on the explanation of the conditions under which a certain formula or a certain test is valid. Preference is given to consideration of the analysis of small sized samples and of distribution-free methods. As a text and reference this book is written for non-mathematicians, in particular for technicians, engineers, executives, students, physicians as well as researchers in other disciplines. It gives any mathematician interested in the practical uses of statistics a general account of the subject. Practical application is the main theme; thus an essential part of the book consists in the 440 fully worked-out numerical examples, some of which are very simple; the 57 exercises with solutions; a number of different compu tational aids; and an extensive bibliography and a very detailed index. In particular, a collection of 232 mathematical and mathematical-statistical tables serves to enable and to simplify the computations.

Doing Bayesian Data Analysis

Doing Bayesian Data Analysis Book
Author : John Kruschke
Publisher : Academic Press
Release : 2014-11-11
ISBN : 0124059163
File Size : 26,9 Mb
Language : En, Es, Fr and De

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Doing Bayesian Data Analysis Book PDF/Epub Download

Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan, Second Edition provides an accessible approach for conducting Bayesian data analysis, as material is explained clearly with concrete examples. Included are step-by-step instructions on how to carry out Bayesian data analyses in the popular and free software R and WinBugs, as well as new programs in JAGS and Stan. The new programs are designed to be much easier to use than the scripts in the first edition. In particular, there are now compact high-level scripts that make it easy to run the programs on your own data sets. The book is divided into three parts and begins with the basics: models, probability, Bayes’ rule, and the R programming language. The discussion then moves to the fundamentals applied to inferring a binomial probability, before concluding with chapters on the generalized linear model. Topics include metric-predicted variable on one or two groups; metric-predicted variable with one metric predictor; metric-predicted variable with multiple metric predictors; metric-predicted variable with one nominal predictor; and metric-predicted variable with multiple nominal predictors. The exercises found in the text have explicit purposes and guidelines for accomplishment. This book is intended for first-year graduate students or advanced undergraduates in statistics, data analysis, psychology, cognitive science, social sciences, clinical sciences, and consumer sciences in business. Accessible, including the basics of essential concepts of probability and random sampling Examples with R programming language and JAGS software Comprehensive coverage of all scenarios addressed by non-Bayesian textbooks: t-tests, analysis of variance (ANOVA) and comparisons in ANOVA, multiple regression, and chi-square (contingency table analysis) Coverage of experiment planning R and JAGS computer programming code on website Exercises have explicit purposes and guidelines for accomplishment Provides step-by-step instructions on how to conduct Bayesian data analyses in the popular and free software R and WinBugs

Practical Bayesian Inference

Practical Bayesian Inference Book
Author : Coryn A. L. Bailer-Jones
Publisher : Cambridge University Press
Release : 2017-04-27
ISBN : 1107192110
File Size : 40,9 Mb
Language : En, Es, Fr and De

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Practical Bayesian Inference Book PDF/Epub Download

This book introduces the major concepts of probability and statistics, along with the necessary computational tools, for undergraduates and graduate students.

Circular Statistics in R

Circular Statistics in R Book
Author : Arthur Pewsey,Markus Neuhäuser,Graeme D Ruxton
Publisher : OUP Oxford
Release : 2013-09-26
ISBN : 0191650765
File Size : 51,9 Mb
Language : En, Es, Fr and De

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Circular Statistics in R Book PDF/Epub Download

Circular Statistics in R provides the most comprehensive guide to the analysis of circular data in over a decade. Circular data arise in many scientific contexts whether it be angular directions such as: observed compass directions of departure of radio-collared migratory birds from a release point; bond angles measured in different molecules; wind directions at different times of year at a wind farm; direction of stress-fractures in concrete bridge supports; longitudes of earthquake epicentres or seasonal and daily activity patterns, for example: data on the times of day at which animals are caught in a camera trap, or in 911 calls in New York, or in internet traffic; variation throughout the year in measles incidence, global energy requirements, TV viewing figures or injuries to athletes. The natural way of representing such data graphically is as points located around the circumference of a circle, hence their name. Importantly, circular variables are periodic in nature and the origin, or zero point, such as the beginning of a new year, is defined arbitrarily rather than necessarily emerging naturally from the system. This book will be of value both to those new to circular data analysis as well as those more familiar with the field. For beginners, the authors start by considering the fundamental graphical and numerical summaries used to represent circular data before introducing distributions that might be used to model them. They go on to discuss basic forms of inference such as point and interval estimation, as well as formal significance tests for hypotheses that will often be of scientific interest. When discussing model fitting, the authors advocate reduced reliance on the classical von Mises distribution; showcasing distributions that are capable of modelling features such as asymmetry and varying levels of kurtosis that are often exhibited by circular data. The use of likelihood-based and computer-intensive approaches to inference and modelling are stressed throughout the book. The R programming language is used to implement the methodology, particularly its "circular" package. Also provided are over 150 new functions for techniques not already covered within R. This concise but authoritative guide is accessible to the diverse range of scientists who have circular data to analyse and want to do so as easily and as effectively as possible.