Bayesian Non And Semi Parametric Methods And Applications

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Bayesian Non- and Semi-parametric Methods and Applications

Author : Peter Rossi
Publisher : Princeton University Press
ISBN 13 : 0691145326
Total Pages : 218 pages
Book Rating : 4.6/5 (911 download)

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Book Synopsis Bayesian Non- and Semi-parametric Methods and Applications by : Peter Rossi

Download or read book Bayesian Non- and Semi-parametric Methods and Applications written by Peter Rossi and published by Princeton University Press. This book was released on 2014-04-27 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reviews and develops Bayesian non-parametric and semi-parametric methods for applications in microeconometrics and quantitative marketing. Most econometric models used in microeconomics and marketing applications involve arbitrary distributional assumptions. As more data becomes available, a natural desire to provide methods that relax these assumptions arises. Peter Rossi advocates a Bayesian approach in which specific distributional assumptions are replaced with more flexible distributions based on mixtures of normals. The Bayesian approach can use either a large but fixed number of normal components in the mixture or an infinite number bounded only by the sample size. By using flexible distributional approximations instead of fixed parametric models, the Bayesian approach can reap the advantages of an efficient method that models all of the structure in the data while retaining desirable smoothing properties. Non-Bayesian non-parametric methods often require additional ad hoc rules to avoid "overfitting," in which resulting density approximates are nonsmooth. With proper priors, the Bayesian approach largely avoids overfitting, while retaining flexibility. This book provides methods for assessing informative priors that require only simple data normalizations. The book also applies the mixture of the normals approximation method to a number of important models in microeconometrics and marketing, including the non-parametric and semi-parametric regression models, instrumental variables problems, and models of heterogeneity. In addition, the author has written a free online software package in R, "bayesm," which implements all of the non-parametric models discussed in the book.

Topics in Identification, Limited Dependent Variables, Partial Observability, Experimentation, and Flexible Modeling

Author : Ivan Jeliazkov
Publisher : Emerald Group Publishing
ISBN 13 : 1838674217
Total Pages : 234 pages
Book Rating : 4.8/5 (386 download)

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Book Synopsis Topics in Identification, Limited Dependent Variables, Partial Observability, Experimentation, and Flexible Modeling by : Ivan Jeliazkov

Download or read book Topics in Identification, Limited Dependent Variables, Partial Observability, Experimentation, and Flexible Modeling written by Ivan Jeliazkov and published by Emerald Group Publishing. This book was released on 2019-10-18 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: Volume 40B of Advances in Econometrics examines innovations in stochastic frontier analysis, nonparametric and semiparametric modeling and estimation, A/B experiments, big-data analysis, and quantile regression.

Semiparametric Regression

Author : David Ruppert
Publisher : Cambridge University Press
ISBN 13 : 9780521785167
Total Pages : 410 pages
Book Rating : 4.7/5 (851 download)

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Book Synopsis Semiparametric Regression by : David Ruppert

Download or read book Semiparametric Regression written by David Ruppert and published by Cambridge University Press. This book was released on 2003-07-14 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt: Semiparametric regression is concerned with the flexible incorporation of non-linear functional relationships in regression analyses. Any application area that benefits from regression analysis can also benefit from semiparametric regression. Assuming only a basic familiarity with ordinary parametric regression, this user-friendly book explains the techniques and benefits of semiparametric regression in a concise and modular fashion. The authors make liberal use of graphics and examples plus case studies taken from environmental, financial, and other applications. They include practical advice on implementation and pointers to relevant software. The 2003 book is suitable as a textbook for students with little background in regression as well as a reference book for statistically oriented scientists such as biostatisticians, econometricians, quantitative social scientists, epidemiologists, with a good working knowledge of regression and the desire to begin using more flexible semiparametric models. Even experts on semiparametric regression should find something new here.

Bayesian Nonparametrics

Author : J.K. Ghosh
Publisher : Springer Science & Business Media
ISBN 13 : 0387226540
Total Pages : 311 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis Bayesian Nonparametrics by : J.K. Ghosh

Download or read book Bayesian Nonparametrics written by J.K. Ghosh and published by Springer Science & Business Media. This book was released on 2006-05-11 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the first systematic treatment of Bayesian nonparametric methods and the theory behind them. It will also appeal to statisticians in general. The book is primarily aimed at graduate students and can be used as the text for a graduate course in Bayesian non-parametrics.

Applied Bayesian Semiparametric Methods with Special Application to the Accelerated Failure Time Model and to Hierarchical Models for Screening

Download Applied Bayesian Semiparametric Methods with Special Application to the Accelerated Failure Time Model and to Hierarchical Models for Screening PDF Online Free

Author : Timothy Edward Hanson
Publisher :
ISBN 13 :
Total Pages : 268 pages
Book Rating : 4.:/5 (6 download)

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Book Synopsis Applied Bayesian Semiparametric Methods with Special Application to the Accelerated Failure Time Model and to Hierarchical Models for Screening by : Timothy Edward Hanson

Download or read book Applied Bayesian Semiparametric Methods with Special Application to the Accelerated Failure Time Model and to Hierarchical Models for Screening written by Timothy Edward Hanson and published by . This book was released on 2000 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Practical Nonparametric and Semiparametric Bayesian Statistics

Author : Dipak D. Dey
Publisher : Springer Science & Business Media
ISBN 13 : 1461217326
Total Pages : 376 pages
Book Rating : 4.4/5 (612 download)

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Book Synopsis Practical Nonparametric and Semiparametric Bayesian Statistics by : Dipak D. Dey

Download or read book Practical Nonparametric and Semiparametric Bayesian Statistics written by Dipak D. Dey and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: A compilation of original articles by Bayesian experts, this volume presents perspectives on recent developments on nonparametric and semiparametric methods in Bayesian statistics. The articles discuss how to conceptualize and develop Bayesian models using rich classes of nonparametric and semiparametric methods, how to use modern computational tools to summarize inferences, and how to apply these methodologies through the analysis of case studies.

Bayesian Nonparametric Data Analysis

Author : Peter Müller
Publisher : Springer
ISBN 13 : 3319189689
Total Pages : 203 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Bayesian Nonparametric Data Analysis by : Peter Müller

Download or read book Bayesian Nonparametric Data Analysis written by Peter Müller and published by Springer. This book was released on 2015-06-17 with total page 203 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reviews nonparametric Bayesian methods and models that have proven useful in the context of data analysis. Rather than providing an encyclopedic review of probability models, the book’s structure follows a data analysis perspective. As such, the chapters are organized by traditional data analysis problems. In selecting specific nonparametric models, simpler and more traditional models are favored over specialized ones. The discussed methods are illustrated with a wealth of examples, including applications ranging from stylized examples to case studies from recent literature. The book also includes an extensive discussion of computational methods and details on their implementation. R code for many examples is included in online software pages.

Nonparametric and Semiparametric Methods in Econometrics and Statistics

Author : William A. Barnett
Publisher : Cambridge University Press
ISBN 13 : 9780521424318
Total Pages : 512 pages
Book Rating : 4.4/5 (243 download)

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Book Synopsis Nonparametric and Semiparametric Methods in Econometrics and Statistics by : William A. Barnett

Download or read book Nonparametric and Semiparametric Methods in Econometrics and Statistics written by William A. Barnett and published by Cambridge University Press. This book was released on 1991-06-28 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt: Papers from a 1988 symposium on the estimation and testing of models that impose relatively weak restrictions on the stochastic behaviour of data.

Structural Equation Modelling with Partial Least Squares Using Stata and R

Author : Mehmet Mehmetoglu
Publisher : CRC Press
ISBN 13 : 1482227827
Total Pages : 385 pages
Book Rating : 4.4/5 (822 download)

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Book Synopsis Structural Equation Modelling with Partial Least Squares Using Stata and R by : Mehmet Mehmetoglu

Download or read book Structural Equation Modelling with Partial Least Squares Using Stata and R written by Mehmet Mehmetoglu and published by CRC Press. This book was released on 2021-03-08 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: Partial least squares structural equation modelling (PLS-SEM) is becoming a popular statistical framework in many fields and disciplines of the social sciences. The main reason for this popularity is that PLS-SEM can be used to estimate models including latent variables, observed variables, or a combination of these. The popularity of PLS-SEM is predicted to increase even more as a result of the development of new and more robust estimation approaches, such as consistent PLS-SEM. The traditional and modern estimation methods for PLS-SEM are now readily facilitated by both open-source and commercial software packages. This book presents PLS-SEM as a useful practical statistical toolbox that can be used for estimating many different types of research models. In so doing, the authors provide the necessary technical prerequisites and theoretical treatment of various aspects of PLS-SEM prior to practical applications. What makes the book unique is the fact that it thoroughly explains and extensively uses comprehensive Stata (plssem) and R (cSEM and plspm) packages for carrying out PLS-SEM analysis. The book aims to help the reader understand the mechanics behind PLS-SEM as well as performing it for publication purposes. Features: Intuitive and technical explanations of PLS-SEM methods Complete explanations of Stata and R packages Lots of example applications of the methodology Detailed interpretation of software output Reporting of a PLS-SEM study Github repository for supplementary book material The book is primarily aimed at researchers and graduate students from statistics, social science, psychology, and other disciplines. Technical details have been moved from the main body of the text into appendices, but it would be useful if the reader has a solid background in linear regression analysis.

Multilateral Wellbeing Comparison in a Many Dimensioned World

Author : Gordon Anderson
Publisher : Springer Nature
ISBN 13 : 3030211304
Total Pages : 220 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Multilateral Wellbeing Comparison in a Many Dimensioned World by : Gordon Anderson

Download or read book Multilateral Wellbeing Comparison in a Many Dimensioned World written by Gordon Anderson and published by Springer Nature. This book was released on 2019-09-12 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses the disparities that arise when measuring and modeling societal behavior and progress across the social sciences. It looks at why and how different disciplines and even researchers can use the same data and yet come to different conclusions about equality of opportunity, economic and social mobility, poverty and polarization, and conflict and segregation. Because societal behavior and progress exist only in the context of other key aspects, modeling becomes exponentially more complex as more of these aspects are factored into considerations. The content of this book transcends disciplinary boundaries, providing valuable information on measuring and modeling to economists, sociologists, and political scientists who are interested in data-based analysis of pressing social issues.

The Econometric Analysis of Recurrent Events in Macroeconomics and Finance

Author : Don Harding
Publisher : Princeton University Press
ISBN 13 : 0691167087
Total Pages : 232 pages
Book Rating : 4.6/5 (911 download)

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Book Synopsis The Econometric Analysis of Recurrent Events in Macroeconomics and Finance by : Don Harding

Download or read book The Econometric Analysis of Recurrent Events in Macroeconomics and Finance written by Don Harding and published by Princeton University Press. This book was released on 2016-07-26 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: The global financial crisis highlighted the impact on macroeconomic outcomes of recurrent events like business and financial cycles, highs and lows in volatility, and crashes and recessions. At the most basic level, such recurrent events can be summarized using binary indicators showing if the event will occur or not. These indicators are constructed either directly from data or indirectly through models. Because they are constructed, they have different properties than those arising in microeconometrics, and how one is to use them depends a lot on the method of construction. This book presents the econometric methods necessary for the successful modeling of recurrent events, providing valuable insights for policymakers, empirical researchers, and theorists. It explains why it is inherently difficult to forecast the onset of a recession in a way that provides useful guidance for active stabilization policy, with the consequence that policymakers should place more emphasis on making the economy robust to recessions. The book offers a range of econometric tools and techniques that researchers can use to measure recurrent events, summarize their properties, and evaluate how effectively economic and statistical models capture them. These methods also offer insights for developing models that are consistent with observed financial and real cycles. This book is an essential resource for students, academics, and researchers at central banks and institutions such as the International Monetary Fund.

Measuring and Valuing Health Benefits for Economic Evaluation

Author : John Brazier
Publisher : Oxford University Press
ISBN 13 : 0198725922
Total Pages : 373 pages
Book Rating : 4.1/5 (987 download)

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Book Synopsis Measuring and Valuing Health Benefits for Economic Evaluation by : John Brazier

Download or read book Measuring and Valuing Health Benefits for Economic Evaluation written by John Brazier and published by Oxford University Press. This book was released on 2017 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: There are not enough resources in health care systems around the world to fund all technically feasible and potentially beneficial health care interventions. Difficult choices have to be made, and economic evaluation offers a systematic and transparent process for informing such choices. A key component of economic evaluation is how to value the benefits of health care in a way that permits comparison between health care interventions, such as through costs per quality-adjusted life years (QALY). Measuring and Valuing Health Benefits for Economic Evaluation examines the measurement and valuation of health benefits, reviews the explosion of theoretical and empirical work in the field, and explores an area of research that continues to be a major source of debate. It addresses the key questions in the field including: the definition of health, the techniques of valuation, who should provide the values, techniques for modelling health state values, the appropriateness of tools in children and vulnerable groups, cross cultural issues, and the problem of choosing the right instrument. This new edition contains updated empirical examples and practical applications, which help to clarify the readers understanding of real world contexts. It features a glossary containing the common terms used by practitioners, and has been updated to cover new measures of health and wellbeing, such as ICECAP, ASCOT and AQOL. It takes into account new research into the social weighting of a QALY, the rising use of ordinal valuation techniques, use of the internet to collect data, and the use of health state utility values in cost effectiveness models. This is an ideal resource for anyone wishing to gain a specialised understanding of health benefit measurement in economic evaluation, especially those working in the fields of health economics, public sector economics, pharmacoeconomics, health services research, public health, and quality of life research.

Introduction to Empirical Processes and Semiparametric Inference

Author : Michael R. Kosorok
Publisher : Springer Science & Business Media
ISBN 13 : 0387749780
Total Pages : 482 pages
Book Rating : 4.3/5 (877 download)

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Book Synopsis Introduction to Empirical Processes and Semiparametric Inference by : Michael R. Kosorok

Download or read book Introduction to Empirical Processes and Semiparametric Inference written by Michael R. Kosorok and published by Springer Science & Business Media. This book was released on 2007-12-29 with total page 482 pages. Available in PDF, EPUB and Kindle. Book excerpt: Kosorok’s brilliant text provides a self-contained introduction to empirical processes and semiparametric inference. These powerful research techniques are surprisingly useful for developing methods of statistical inference for complex models and in understanding the properties of such methods. This is an authoritative text that covers all the bases, and also a friendly and gradual introduction to the area. The book can be used as research reference and textbook.

Fundamentals of Nonparametric Bayesian Inference

Author : Subhashis Ghosal
Publisher : Cambridge University Press
ISBN 13 : 0521878268
Total Pages : 671 pages
Book Rating : 4.5/5 (218 download)

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Book Synopsis Fundamentals of Nonparametric Bayesian Inference by : Subhashis Ghosal

Download or read book Fundamentals of Nonparametric Bayesian Inference written by Subhashis Ghosal and published by Cambridge University Press. This book was released on 2017-06-26 with total page 671 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bayesian nonparametrics comes of age with this landmark text synthesizing theory, methodology and computation.

Big Data and Differential Privacy

Author : Nii O. Attoh-Okine
Publisher : John Wiley & Sons
ISBN 13 : 1119229057
Total Pages : 271 pages
Book Rating : 4.1/5 (192 download)

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Book Synopsis Big Data and Differential Privacy by : Nii O. Attoh-Okine

Download or read book Big Data and Differential Privacy written by Nii O. Attoh-Okine and published by John Wiley & Sons. This book was released on 2017-05-12 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive introduction to the theory and practice of contemporary data science analysis for railway track engineering Featuring a practical introduction to state-of-the-art data analysis for railway track engineering, Big Data and Differential Privacy: Analysis Strategies for Railway Track Engineering addresses common issues with the implementation of big data applications while exploring the limitations, advantages, and disadvantages of more conventional methods. In addition, the book provides a unifying approach to analyzing large volumes of data in railway track engineering using an array of proven methods and software technologies. Dr. Attoh-Okine considers some of today’s most notable applications and implementations and highlights when a particular method or algorithm is most appropriate. Throughout, the book presents numerous real-world examples to illustrate the latest railway engineering big data applications of predictive analytics, such as the Union Pacific Railroad’s use of big data to reduce train derailments, increase the velocity of shipments, and reduce emissions. In addition to providing an overview of the latest software tools used to analyze the large amount of data obtained by railways, Big Data and Differential Privacy: Analysis Strategies for Railway Track Engineering: • Features a unified framework for handling large volumes of data in railway track engineering using predictive analytics, machine learning, and data mining • Explores issues of big data and differential privacy and discusses the various advantages and disadvantages of more conventional data analysis techniques • Implements big data applications while addressing common issues in railway track maintenance • Explores the advantages and pitfalls of data analysis software such as R and Spark, as well as the ApacheTM Hadoop® data collection database and its popular implementation MapReduce Big Data and Differential Privacy is a valuable resource for researchers and professionals in transportation science, railway track engineering, design engineering, operations research, and railway planning and management. The book is also appropriate for graduate courses on data analysis and data mining, transportation science, operations research, and infrastructure management. NII ATTOH-OKINE, PhD, PE is Professor in the Department of Civil and Environmental Engineering at the University of Delaware. The author of over 70 journal articles, his main areas of research include big data and data science; computational intelligence; graphical models and belief functions; civil infrastructure systems; image and signal processing; resilience engineering; and railway track analysis. Dr. Attoh-Okine has edited five books in the areas of computational intelligence, infrastructure systems and has served as an Associate Editor of various ASCE and IEEE journals.

New Developments for Embracing Genomic Selection in Breeding Applications

Author : Diego Jarquin
Publisher : Frontiers Media SA
ISBN 13 : 2889744345
Total Pages : 197 pages
Book Rating : 4.8/5 (897 download)

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Book Synopsis New Developments for Embracing Genomic Selection in Breeding Applications by : Diego Jarquin

Download or read book New Developments for Embracing Genomic Selection in Breeding Applications written by Diego Jarquin and published by Frontiers Media SA. This book was released on 2022-02-18 with total page 197 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Handbook of the Economics of Marketing

Author :
Publisher : Elsevier
ISBN 13 : 0444637656
Total Pages : 634 pages
Book Rating : 4.4/5 (446 download)

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Book Synopsis Handbook of the Economics of Marketing by :

Download or read book Handbook of the Economics of Marketing written by and published by Elsevier. This book was released on 2019-09-19 with total page 634 pages. Available in PDF, EPUB and Kindle. Book excerpt: Handbook of the Economics of Marketing, Volume One: Marketing and Economics mixes empirical work in industrial organization with quantitative marketing tools, presenting tactics that help researchers tackle problems with a balance of intuition and skepticism. It offers critical perspectives on theoretical work within economics, delivering a comprehensive, critical, up-to-date, and accessible review of the field that has always been missing. This literature summary of research at the intersection of economics and marketing is written by, and for, economists, and the book's authors share a belief in analytical and integrated approaches to marketing, emphasizing data-driven, result-oriented, pragmatic strategies. - Helps academic and non-academic economists understand recent, rapid changes in the economics of marketing - Designed for economists already convinced of the benefits of applying economics tools to marketing - Written for those who wish to become quickly acquainted with the integration of marketing and economics