Nonparametric Bayesian Inference

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Publisher : Springer Nature
ISBN 13 : 3031613295
Total Pages : 370 pages
Book Rating : 4.0/5 (316 download)

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Book Synopsis Nonparametric Bayesian Inference by : Jean-Pierre Florens

Download or read book Nonparametric Bayesian Inference written by Jean-Pierre Florens and published by Springer Nature. This book was released on with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Analysis of Panels and Limited Dependent Variable Models

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Publisher : Cambridge University Press
ISBN 13 : 113943134X
Total Pages : 352 pages
Book Rating : 4.1/5 (394 download)

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Book Synopsis Analysis of Panels and Limited Dependent Variable Models by : Cheng Hsiao

Download or read book Analysis of Panels and Limited Dependent Variable Models written by Cheng Hsiao and published by Cambridge University Press. This book was released on 1999-07-29 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: This important collection brings together leading econometricians to discuss advances in the areas of the econometrics of panel data. The papers in this collection can be grouped into two categories. The first, which includes chapters by Amemiya, Baltagi, Arellano, Bover and Labeaga, primarily deal with different aspects of limited dependent variables and sample selectivity. The second group of papers, including those by Nerlove, Schmidt and Ahn, Kiviet, Davies and Lahiri, consider issues that arise in the estimation of dyanamic (possibly) heterogeneous panel data models. Overall, the contributors focus on the issues of simplifying complex real-world phenomena into easily generalisable inferences from individual outcomes. As the contributions of G. S. Maddala in the fields of limited dependent variables and panel data were particularly influential, it is a fitting tribute that this volume is dedicated to him.

Bayesian Nonparametric Data Analysis

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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.

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

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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.

The Oxford Handbook of Bayesian Econometrics

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Publisher : Oxford University Press, USA
ISBN 13 : 0199559082
Total Pages : 571 pages
Book Rating : 4.1/5 (995 download)

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Book Synopsis The Oxford Handbook of Bayesian Econometrics by : John Geweke

Download or read book The Oxford Handbook of Bayesian Econometrics written by John Geweke and published by Oxford University Press, USA. This book was released on 2011-09-29 with total page 571 pages. Available in PDF, EPUB and Kindle. Book excerpt: A broad coverage of the application of Bayesian econometrics in the major fields of economics and related disciplines, including macroeconomics, microeconomics, finance, and marketing.

Advances in Economics and Econometrics

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Publisher : Cambridge University Press
ISBN 13 : 9780521524131
Total Pages : 316 pages
Book Rating : 4.5/5 (241 download)

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Book Synopsis Advances in Economics and Econometrics by : Econometric Society. World Congress

Download or read book Advances in Economics and Econometrics written by Econometric Society. World Congress and published by Cambridge University Press. This book was released on 2003-01-20 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sample Text

Bayesian Inference in the Social Sciences

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Publisher : John Wiley & Sons
ISBN 13 : 1118771125
Total Pages : 266 pages
Book Rating : 4.1/5 (187 download)

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Book Synopsis Bayesian Inference in the Social Sciences by : Ivan Jeliazkov

Download or read book Bayesian Inference in the Social Sciences written by Ivan Jeliazkov and published by John Wiley & Sons. This book was released on 2014-11-04 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents new models, methods, and techniques and considers important real-world applications in political science, sociology, economics, marketing, and finance Emphasizing interdisciplinary coverage, Bayesian Inference in the Social Sciences builds upon the recent growth in Bayesian methodology and examines an array of topics in model formulation, estimation, and applications. The book presents recent and trending developments in a diverse, yet closely integrated, set of research topics within the social sciences and facilitates the transmission of new ideas and methodology across disciplines while maintaining manageability, coherence, and a clear focus. Bayesian Inference in the Social Sciences features innovative methodology and novel applications in addition to new theoretical developments and modeling approaches, including the formulation and analysis of models with partial observability, sample selection, and incomplete data. Additional areas of inquiry include a Bayesian derivation of empirical likelihood and method of moment estimators, and the analysis of treatment effect models with endogeneity. The book emphasizes practical implementation, reviews and extends estimation algorithms, and examines innovative applications in a multitude of fields. Time series techniques and algorithms are discussed for stochastic volatility, dynamic factor, and time-varying parameter models. Additional features include: Real-world applications and case studies that highlight asset pricing under fat-tailed distributions, price indifference modeling and market segmentation, analysis of dynamic networks, ethnic minorities and civil war, school choice effects, and business cycles and macroeconomic performance State-of-the-art computational tools and Markov chain Monte Carlo algorithms with related materials available via the book’s supplemental website Interdisciplinary coverage from well-known international scholars and practitioners Bayesian Inference in the Social Sciences is an ideal reference for researchers in economics, political science, sociology, and business as well as an excellent resource for academic, government, and regulation agencies. The book is also useful for graduate-level courses in applied econometrics, statistics, mathematical modeling and simulation, numerical methods, computational analysis, and the social sciences.

Missing Data in Longitudinal Studies

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Publisher : CRC Press
ISBN 13 : 1420011189
Total Pages : 324 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Missing Data in Longitudinal Studies by : Michael J. Daniels

Download or read book Missing Data in Longitudinal Studies written by Michael J. Daniels and published by CRC Press. This book was released on 2008-03-11 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: Drawing from the authors' own work and from the most recent developments in the field, Missing Data in Longitudinal Studies: Strategies for Bayesian Modeling and Sensitivity Analysis describes a comprehensive Bayesian approach for drawing inference from incomplete data in longitudinal studies. To illustrate these methods, the authors employ

Bayesian Hierarchical Models

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Publisher : CRC Press
ISBN 13 : 0429532903
Total Pages : 487 pages
Book Rating : 4.4/5 (295 download)

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Book Synopsis Bayesian Hierarchical Models by : Peter D. Congdon

Download or read book Bayesian Hierarchical Models written by Peter D. Congdon and published by CRC Press. This book was released on 2019-09-16 with total page 487 pages. Available in PDF, EPUB and Kindle. Book excerpt: An intermediate-level treatment of Bayesian hierarchical models and their applications, this book demonstrates the advantages of a Bayesian approach to data sets involving inferences for collections of related units or variables, and in methods where parameters can be treated as random collections. Through illustrative data analysis and attention to statistical computing, this book facilitates practical implementation of Bayesian hierarchical methods. The new edition is a revision of the book Applied Bayesian Hierarchical Methods. It maintains a focus on applied modelling and data analysis, but now using entirely R-based Bayesian computing options. It has been updated with a new chapter on regression for causal effects, and one on computing options and strategies. This latter chapter is particularly important, due to recent advances in Bayesian computing and estimation, including the development of rjags and rstan. It also features updates throughout with new examples. The examples exploit and illustrate the broader advantages of the R computing environment, while allowing readers to explore alternative likelihood assumptions, regression structures, and assumptions on prior densities. Features: Provides a comprehensive and accessible overview of applied Bayesian hierarchical modelling Includes many real data examples to illustrate different modelling topics R code (based on rjags, jagsUI, R2OpenBUGS, and rstan) is integrated into the book, emphasizing implementation Software options and coding principles are introduced in new chapter on computing Programs and data sets available on the book’s website

Statistical Analysis with Measurement Error or Misclassification

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Publisher : Springer
ISBN 13 : 1493966405
Total Pages : 497 pages
Book Rating : 4.4/5 (939 download)

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Book Synopsis Statistical Analysis with Measurement Error or Misclassification by : Grace Y. Yi

Download or read book Statistical Analysis with Measurement Error or Misclassification written by Grace Y. Yi and published by Springer. This book was released on 2017-08-02 with total page 497 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph on measurement error and misclassification covers a broad range of problems and emphasizes unique features in modeling and analyzing problems arising from medical research and epidemiological studies. Many measurement error and misclassification problems have been addressed in various fields over the years as well as with a wide spectrum of data, including event history data (such as survival data and recurrent event data), correlated data (such as longitudinal data and clustered data), multi-state event data, and data arising from case-control studies. Statistical Analysis with Measurement Error or Misclassification: Strategy, Method and Application brings together assorted methods in a single text and provides an update of recent developments for a variety of settings. Measurement error effects and strategies of handling mismeasurement for different models are closely examined in combination with applications to specific problems. Readers with diverse backgrounds and objectives can utilize this text. Familiarity with inference methods—such as likelihood and estimating function theory—or modeling schemes in varying settings—such as survival analysis and longitudinal data analysis—can result in a full appreciation of the material, but it is not essential since each chapter provides basic inference frameworks and background information on an individual topic to ease the access of the material. The text is presented in a coherent and self-contained manner and highlights the essence of commonly used modeling and inference methods. This text can serve as a reference book for researchers interested in statistical methodology for handling data with measurement error or misclassification; as a textbook for graduate students, especially for those majoring in statistics and biostatistics; or as a book for applied statisticians whose interest focuses on analysis of error-contaminated data. Grace Y. Yi is Professor of Statistics and University Research Chair at the University of Waterloo. She is the 2010 winner of the CRM-SSC Prize, an honor awarded in recognition of a statistical scientist's professional accomplishments in research during the first 15 years after having received a doctorate. She is a Fellow of the American Statistical Association and an Elected Member of the International Statistical Institute.

Developing Econometrics

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Publisher : John Wiley & Sons
ISBN 13 : 0470681772
Total Pages : 489 pages
Book Rating : 4.4/5 (76 download)

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Book Synopsis Developing Econometrics by : Hengqing Tong

Download or read book Developing Econometrics written by Hengqing Tong and published by John Wiley & Sons. This book was released on 2011-12-12 with total page 489 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Theories and Methods with Applications to Economics and Business highlights recent advances in statistical theory and methods that benefit econometric practice. It deals with exploratory data analysis, a prerequisite to statistical modelling and part of data mining. It provides recently developed computational tools useful for data mining, analysing the reasons to do data mining and the best techniques to use in a given situation. Provides a detailed description of computer algorithms. Provides recently developed computational tools useful for data mining Highlights recent advances in statistical theory and methods that benefit econometric practice. Features examples with real life data. Accompanying software featuring DASC (Data Analysis and Statistical Computing). Essential reading for practitioners in any area of econometrics; business analysts involved in economics and management; and Graduate students and researchers in economics and statistics.

Handbook of Item Response Theory

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Publisher : CRC Press
ISBN 13 : 1351645455
Total Pages : 1584 pages
Book Rating : 4.3/5 (516 download)

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Book Synopsis Handbook of Item Response Theory by : Wim J. van der Linden

Download or read book Handbook of Item Response Theory written by Wim J. van der Linden and published by CRC Press. This book was released on 2018-02-19 with total page 1584 pages. Available in PDF, EPUB and Kindle. Book excerpt: Drawing on the work of 75 internationally acclaimed experts in the field, Handbook of Item Response Theory, Three-Volume Set presents all major item response models, classical and modern statistical tools used in item response theory (IRT), and major areas of applications of IRT in educational and psychological testing, medical diagnosis of patient-reported outcomes, and marketing research. It also covers CRAN packages, WinBUGS, Bilog MG, Multilog, Parscale, IRTPRO, Mplus, GLLAMM, Latent Gold, and numerous other software tools. A full update of editor Wim J. van der Linden and Ronald K. Hambleton’s classic Handbook of Modern Item Response Theory, this handbook has been expanded from 28 chapters to 85 chapters in three volumes. The three volumes are thoroughly edited and cross-referenced, with uniform notation, format, and pedagogical principles across all chapters. Each chapter is self-contained and deals with the latest developments in IRT.

Bayesian Nonparametrics

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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.

Handbook of Industrial Organization

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Publisher : Elsevier
ISBN 13 : 0323915140
Total Pages : 788 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Handbook of Industrial Organization by :

Download or read book Handbook of Industrial Organization written by and published by Elsevier. This book was released on 2021-12-09 with total page 788 pages. Available in PDF, EPUB and Kindle. Book excerpt: Handbook of Industrial Organization, Volume Four highlights new advances in the field, with this new volume presenting interesting chapters written by an international board of expert authors. - Presents authoritative surveys and reviews of advances in theory and econometrics - Reviews recent research on capital raising methods and institutions - Includes discussions on developing countries

Microeconometrics

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Publisher : Cambridge University Press
ISBN 13 : 9780521848053
Total Pages : 1064 pages
Book Rating : 4.8/5 (48 download)

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Book Synopsis Microeconometrics by : A. Colin Cameron

Download or read book Microeconometrics written by A. Colin Cameron and published by Cambridge University Press. This book was released on 2005-05-09 with total page 1064 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book is oriented to the practitioner.

Econometrics of Financial High-Frequency Data

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Publisher : Springer Science & Business Media
ISBN 13 : 364221925X
Total Pages : 381 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Econometrics of Financial High-Frequency Data by : Nikolaus Hautsch

Download or read book Econometrics of Financial High-Frequency Data written by Nikolaus Hautsch and published by Springer Science & Business Media. This book was released on 2011-10-12 with total page 381 pages. Available in PDF, EPUB and Kindle. Book excerpt: The availability of financial data recorded on high-frequency level has inspired a research area which over the last decade emerged to a major area in econometrics and statistics. The growing popularity of high-frequency econometrics is driven by technological progress in trading systems and an increasing importance of intraday trading, liquidity risk, optimal order placement as well as high-frequency volatility. This book provides a state-of-the art overview on the major approaches in high-frequency econometrics, including univariate and multivariate autoregressive conditional mean approaches for different types of high-frequency variables, intensity-based approaches for financial point processes and dynamic factor models. It discusses implementation details, provides insights into properties of high-frequency data as well as institutional settings and presents applications to volatility and liquidity estimation, order book modelling and market microstructure analysis.

Generalized Linear Models

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Publisher : CRC Press
ISBN 13 : 1482293455
Total Pages : 442 pages
Book Rating : 4.4/5 (822 download)

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Book Synopsis Generalized Linear Models by : Dipak K. Dey

Download or read book Generalized Linear Models written by Dipak K. Dey and published by CRC Press. This book was released on 2000-05-25 with total page 442 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume describes how to conceptualize, perform, and critique traditional generalized linear models (GLMs) from a Bayesian perspective and how to use modern computational methods to summarize inferences using simulation. Introducing dynamic modeling for GLMs and containing over 1000 references and equations, Generalized Linear Models considers