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Author: Andrew Gelman
Publisher: CRC Press
ISBN: 1439840954
Category : Mathematics
Languages : en
Pages : 677
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Book Description
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.
Author: Andrew Gelman
Publisher: CRC Press
ISBN: 1439840954
Category : Mathematics
Languages : en
Pages : 677
Get Book Here
Book Description
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.
Author: Terence Tao
Publisher: Springer
ISBN: 9811017891
Category : Mathematics
Languages : en
Pages : 366
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Book Description
This is part one of a two-volume book on real analysis and is intended for senior undergraduate students of mathematics who have already been exposed to calculus. The emphasis is on rigour and foundations of analysis. Beginning with the construction of the number systems and set theory, the book discusses the basics of analysis (limits, series, continuity, differentiation, Riemann integration), through to power series, several variable calculus and Fourier analysis, and then finally the Lebesgue integral. These are almost entirely set in the concrete setting of the real line and Euclidean spaces, although there is some material on abstract metric and topological spaces. The book also has appendices on mathematical logic and the decimal system. The entire text (omitting some less central topics) can be taught in two quarters of 25–30 lectures each. The course material is deeply intertwined with the exercises, as it is intended that the student actively learn the material (and practice thinking and writing rigorously) by proving several of the key results in the theory.
Author: Andrew F. Hayes
Publisher: Guilford Publications
ISBN: 146253466X
Category : Social Science
Languages : en
Pages : 714
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Book Description
This book has been replaced by Introduction to Mediation, Moderation, and Conditional Process Analysis, Third Edition, ISBN 978-1-4625-4903-0.
Author: Xavier Rival
Publisher: MIT Press
ISBN: 0262043416
Category : Computers
Languages : en
Pages : 315
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Book Description
A self-contained introduction to abstract interpretation–based static analysis, an essential resource for students, developers, and users. Static program analysis, or static analysis, aims to discover semantic properties of programs without running them. It plays an important role in all phases of development, including verification of specifications and programs, the synthesis of optimized code, and the refactoring and maintenance of software applications. This book offers a self-contained introduction to static analysis, covering the basics of both theoretical foundations and practical considerations in the use of static analysis tools. By offering a quick and comprehensive introduction for nonspecialists, the book fills a notable gap in the literature, which until now has consisted largely of scientific articles on advanced topics. The text covers the mathematical foundations of static analysis, including semantics, semantic abstraction, and computation of program invariants; more advanced notions and techniques, including techniques for enhancing the cost-accuracy balance of analysis and abstractions for advanced programming features and answering a wide range of semantic questions; and techniques for implementing and using static analysis tools. It begins with background information and an intuitive and informal introduction to the main static analysis principles and techniques. It then formalizes the scientific foundations of program analysis techniques, considers practical aspects of implementation, and presents more advanced applications. The book can be used as a textbook in advanced undergraduate and graduate courses in static analysis and program verification, and as a reference for users, developers, and experts.
Author: Craig S. Fleisher
Publisher: FT Press
ISBN: 0131873660
Category : Business & Economics
Languages : en
Pages : 679
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Book Description
Resource for companies to improve strategic planning and ensure they are implementing effective corporate strategy. bull; Presents a comprehensive range of methods to analyse the tools that analyse business, competitive data, and market information. bull; Consistent approach and detailed instructions allow for readers to implement strategy quickly and effectively. bull; Management consultants and strategy departments can use this book to make a case for the most effective method to apply to any problem.
Author: Stephen Abbott
Publisher: Springer Science & Business Media
ISBN: 0387215069
Category : Mathematics
Languages : en
Pages : 269
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Book Description
This elementary presentation exposes readers to both the process of rigor and the rewards inherent in taking an axiomatic approach to the study of functions of a real variable. The aim is to challenge and improve mathematical intuition rather than to verify it. The philosophy of this book is to focus attention on questions which give analysis its inherent fascination. Each chapter begins with the discussion of some motivating examples and concludes with a series of questions.
Author: Andrew Gelman
Publisher: CRC Press
ISBN: 1420057294
Category : Mathematics
Languages : en
Pages : 717
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Book Description
Incorporating new and updated information, this second edition of THE bestselling text in Bayesian data analysis continues to emphasize practice over theory, describing how to conceptualize, perform, and critique statistical analyses from a Bayesian perspective. Its world-class authors provide guidance on all aspects of Bayesian data analysis and include examples of real statistical analyses, based on their own research, that demonstrate how to solve complicated problems. Changes in the new edition include: Stronger focus on MCMC Revision of the computational advice in Part III New chapters on nonlinear models and decision analysis Several additional applied examples from the authors' recent research Additional chapters on current models for Bayesian data analysis such as nonlinear models, generalized linear mixed models, and more Reorganization of chapters 6 and 7 on model checking and data collection Bayesian computation is currently at a stage where there are many reasonable ways to compute any given posterior distribution. However, the best approach is not always clear ahead of time. Reflecting this, the new edition offers a more pluralistic presentation, giving advice on performing computations from many perspectives while making clear the importance of being aware that there are different ways to implement any given iterative simulation computation. The new approach, additional examples, and updated information make Bayesian Data Analysis an excellent introductory text and a reference that working scientists will use throughout their professional life.
Author: David A. Kenny
Publisher: Guilford Publications
ISBN: 1462546137
Category : Psychology
Languages : en
Pages : 482
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Book Description
Interpersonal phenomena such as attachment, conflict, person perception, learning, and influence have traditionally been studied by examining individuals in isolation, which falls short of capturing their truly interpersonal nature. This book offers state-of-the-art solutions to this age-old problem by presenting methodological and data-analytic approaches useful in investigating processes that take place among dyads: couples, coworkers, parent and child, teacher and student, or doctor and patient, to name just a few. Rich examples from psychology and across the behavioral and social sciences help build the researcher's ability to conceptualize relationship processes; model and test for actor effects, partner effects, and relationship effects; and model and control for the statistical interdependence that can exist between partners. The companion website provides clarifications, elaborations, corrections, and data and files for each chapter.
Author: Adele E. Clarke
Publisher: SAGE
ISBN: 0761930566
Category : Reference
Languages : en
Pages : 409
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Book Description
Providing an introduction to situational analysis, Adele E. Clarke outlines how this method differs from and is superior to grounded theory and to qualitative data analysis.
Author: John J. Murphy
Publisher: John Wiley & Sons
ISBN: 1118045556
Category : Business & Economics
Languages : en
Pages : 290
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Book Description
Praise for INTERMARKET ANALYSIS "John Murphy has done it again. He dissects the global relationships between equities, bonds, currencies, and commodities like no one else can, and lays out an irrefutable case for intermarket analysis in plain English. This book is a must-read for all serious traders." -Louis B. Mendelsohn, creator of VantagePoint Intermarket Analysis software "John Murphy's Intermarket Analysis should be on the desk of every trader and investor if they want to be positioned in the right markets at the right time." -Thom Hartle, President, Market Analytics, Inc. (www.thomhartle.com) "This book is full of valuable information. As a daily practitioner of intermarket analysis, I thought I knew most aspects of this invaluable subject, but this book gave me several new ideas. I thoroughly recommend it for beginners and professionals." -Martin Pring, President of Pring.com and editor of the Intermarket Review Newsletter "Mr. Murphy's Intermarket Analysis is truly the most efficient and unambiguous way to define economic and fundamental relationships as they unfold in the market. It cuts through all of the conflicting economic news/views expressed each day to provide a clear picture of the 'here and now' in the global marketplace." -Dennis Hynes, Managing Director, R. W. Pressprich "Master Murphy is back with the quintessential look at intermarket analysis. The complex relationships among financial instruments have never been more important, and this book brings it all into focus. This is an essential read for all investors." -Andrew Bekoff, Technical Strategist, VDM NYSE Specialists "John Murphy is a legend in technical analysis, and a master at explaining precisely how the major markets impact each other. This updated version provides even more lessons from the past, plus fresh insights on current market trends." -Price Headley, BigTrends.com, author of Big Trends in Trading
