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Author: Richard Michael Cyert
Publisher:
Published: 1987-07-30
Total Pages: 224
ISBN-13: 9789400931640
DOWNLOAD EBOOKDownload or read book Bayesian Analysis and Uncertainty in Economic Theory written by Richard Michael Cyert and published by . This book was released on 1987-07-30 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author: Richard Michael Cyert
Publisher: Springer
Published: 2011-10-12
Total Pages: 206
ISBN-13: 9789401079228
DOWNLOAD EBOOKWe began this research with the objective of applying Bayesian methods of analysis to various aspects of economic theory. We were attracted to the Bayesian approach because it seemed the best analytic framework available for dealing with decision making under uncertainty, and the research presented in this book has only served to strengthen our belief in the appropriateness and usefulness of this methodology. More specif ically, we believe that the concept of organizational learning is funda mental to decision making under uncertainty in economics and that the Bayesian framework is the most appropriate for developing that concept. The central and unifying theme of this book is decision making under uncertainty in microeconomic theory. Our fundamental aim is to explore the ways in which firms and households make decisions and to develop models that have a strong empirical connection. Thus, we have attempted to contribute to economic theory by formalizing models of the actual pro cess of decision making under uncertainty. Bayesian methodology pro vides the appropriate vehicle for this formalization.
Download or read book Bayesian Analysis and Uncertainty in Economic Theory written by Richard Michael Cyert and published by Springer. This book was released on 2011-10-12 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt: We began this research with the objective of applying Bayesian methods of analysis to various aspects of economic theory. We were attracted to the Bayesian approach because it seemed the best analytic framework available for dealing with decision making under uncertainty, and the research presented in this book has only served to strengthen our belief in the appropriateness and usefulness of this methodology. More specif ically, we believe that the concept of organizational learning is funda mental to decision making under uncertainty in economics and that the Bayesian framework is the most appropriate for developing that concept. The central and unifying theme of this book is decision making under uncertainty in microeconomic theory. Our fundamental aim is to explore the ways in which firms and households make decisions and to develop models that have a strong empirical connection. Thus, we have attempted to contribute to economic theory by formalizing models of the actual pro cess of decision making under uncertainty. Bayesian methodology pro vides the appropriate vehicle for this formalization.
Author: Itzhak Gilboa
Publisher: Routledge
Published: 2004-08-02
Total Pages: 584
ISBN-13: 1134344155
DOWNLOAD EBOOKThis volume brings together important papers, coupled with new introductions, in the massively influential area of uncertainty in economic theory. Seminal papers are available together for the first time in book format, with new introductions and under the steely editorship of Itzhak Gilboa - this book is a useful reference tool for economists all over the globe.
Download or read book Uncertainty in Economic Theory written by Itzhak Gilboa and published by Routledge. This book was released on 2004-08-02 with total page 584 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume brings together important papers, coupled with new introductions, in the massively influential area of uncertainty in economic theory. Seminal papers are available together for the first time in book format, with new introductions and under the steely editorship of Itzhak Gilboa - this book is a useful reference tool for economists all over the globe.
Author: Richard Michael Cyert
Publisher: Springer Science & Business Media
Published: 2012-12-06
Total Pages: 278
ISBN-13: 9400931638
DOWNLOAD EBOOKWe began this research with the objective of applying Bayesian methods of analysis to various aspects of economic theory. We were attracted to the Bayesian approach because it seemed the best analytic framework available for dealing with decision making under uncertainty, and the research presented in this book has only served to strengthen our belief in the appropriateness and usefulness of this methodology. More specif ically, we believe that the concept of organizational learning is funda mental to decision making under uncertainty in economics and that the Bayesian framework is the most appropriate for developing that concept. The central and unifying theme of this book is decision making under uncertainty in microeconomic theory. Our fundamental aim is to explore the ways in which firms and households make decisions and to develop models that have a strong empirical connection. Thus, we have attempted to contribute to economic theory by formalizing models of the actual pro cess of decision making under uncertainty. Bayesian methodology pro vides the appropriate vehicle for this formalization.
Download or read book Bayesian Analysis and Uncertainty in Economic Theory written by Richard Michael Cyert and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: We began this research with the objective of applying Bayesian methods of analysis to various aspects of economic theory. We were attracted to the Bayesian approach because it seemed the best analytic framework available for dealing with decision making under uncertainty, and the research presented in this book has only served to strengthen our belief in the appropriateness and usefulness of this methodology. More specif ically, we believe that the concept of organizational learning is funda mental to decision making under uncertainty in economics and that the Bayesian framework is the most appropriate for developing that concept. The central and unifying theme of this book is decision making under uncertainty in microeconomic theory. Our fundamental aim is to explore the ways in which firms and households make decisions and to develop models that have a strong empirical connection. Thus, we have attempted to contribute to economic theory by formalizing models of the actual pro cess of decision making under uncertainty. Bayesian methodology pro vides the appropriate vehicle for this formalization.
Author: Marcel Boyer
Publisher: North Holland
Published: 1984
Total Pages: 336
ISBN-13:
DOWNLOAD EBOOKDownload or read book Bayesian Models in Economic Theory written by Marcel Boyer and published by North Holland. This book was released on 1984 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author: Charles A. Holt
Publisher: North-Holland
Published: 1980
Total Pages: 200
ISBN-13:
DOWNLOAD EBOOKBidding for contract; A bayesian approach to the spectral analysis of stationary time series.
Download or read book Bayesian Analysis in Economic Theory and Time Series Analysis written by Charles A. Holt and published by North-Holland. This book was released on 1980 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bidding for contract; A bayesian approach to the spectral analysis of stationary time series.
Author: Jeffrey H. Dorfman
Publisher: Springer Science & Business Media
Published: 2006-03-31
Total Pages: 115
ISBN-13: 0387226354
DOWNLOAD EBOOKProviding researchers in economics, finance, and statistics with an up-to-date introduction to applying Bayesian techniques to empirical studies, this book covers the full range of the new numerical techniques which have been developed over the last thirty years. Notably, these are: Monte Carlo sampling, antithetic replication, importance sampling, and Gibbs sampling. The author covers both advances in theory and modern approaches to numerical and applied problems, and includes applications drawn from a variety of different fields within economics, while also providing a quick overview of the underlying statistical ideas of Bayesian thought. The result is a book which presents a roadmap of applied economic questions that can now be addressed empirically with Bayesian methods. Consequently, many researchers will find this a readily readable survey of this growing topic.
Download or read book Bayesian Economics Through Numerical Methods written by Jeffrey H. Dorfman and published by Springer Science & Business Media. This book was released on 2006-03-31 with total page 115 pages. Available in PDF, EPUB and Kindle. Book excerpt: Providing researchers in economics, finance, and statistics with an up-to-date introduction to applying Bayesian techniques to empirical studies, this book covers the full range of the new numerical techniques which have been developed over the last thirty years. Notably, these are: Monte Carlo sampling, antithetic replication, importance sampling, and Gibbs sampling. The author covers both advances in theory and modern approaches to numerical and applied problems, and includes applications drawn from a variety of different fields within economics, while also providing a quick overview of the underlying statistical ideas of Bayesian thought. The result is a book which presents a roadmap of applied economic questions that can now be addressed empirically with Bayesian methods. Consequently, many researchers will find this a readily readable survey of this growing topic.
Author: Michael Balch
Publisher:
Published: 1974
Total Pages: 696
ISBN-13: 9780720431001
DOWNLOAD EBOOKDownload or read book Essays on Economic Behavior Under Uncertainty written by Michael Balch and published by . This book was released on 1974 with total page 696 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author: Nguyen Ngoc Thach
Publisher: Springer Nature
Published: 2022-05-28
Total Pages: 865
ISBN-13: 3030986896
DOWNLOAD EBOOKThis book overviews latest ideas and developments in financial econometrics, with an emphasis on how to best use prior knowledge (e.g., Bayesian way) and how to best use successful data processing techniques from other application areas (e.g., from quantum physics). The book also covers applications to economy-related phenomena ranging from traditionally analyzed phenomena such as manufacturing, food industry, and taxes, to newer-to-analyze phenomena such as cryptocurrencies, influencer marketing, COVID-19 pandemic, financial fraud detection, corruption, and shadow economy. This book will inspire practitioners to learn how to apply state-of-the-art Bayesian, quantum, and related techniques to economic and financial problems and inspire researchers to further improve the existing techniques and come up with new techniques for studying economic and financial phenomena. The book will also be of interest to students interested in latest ideas and results.
Download or read book Financial Econometrics: Bayesian Analysis, Quantum Uncertainty, and Related Topics written by Nguyen Ngoc Thach and published by Springer Nature. This book was released on 2022-05-28 with total page 865 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book overviews latest ideas and developments in financial econometrics, with an emphasis on how to best use prior knowledge (e.g., Bayesian way) and how to best use successful data processing techniques from other application areas (e.g., from quantum physics). The book also covers applications to economy-related phenomena ranging from traditionally analyzed phenomena such as manufacturing, food industry, and taxes, to newer-to-analyze phenomena such as cryptocurrencies, influencer marketing, COVID-19 pandemic, financial fraud detection, corruption, and shadow economy. This book will inspire practitioners to learn how to apply state-of-the-art Bayesian, quantum, and related techniques to economic and financial problems and inspire researchers to further improve the existing techniques and come up with new techniques for studying economic and financial phenomena. The book will also be of interest to students interested in latest ideas and results.
Author: Gianluca Baio
Publisher: CRC Press
Published: 2012-11-12
Total Pages: 246
ISBN-13: 1439895554
DOWNLOAD EBOOKHealth economics is concerned with the study of the cost-effectiveness of health care interventions. This book provides an overview of Bayesian methods for the analysis of health economic data. After an introduction to the basic economic concepts and methods of evaluation, it presents Bayesian statistics using accessible mathematics. The next chapters describe the theory and practice of cost-effectiveness analysis from a statistical viewpoint, and Bayesian computation, notably MCMC. The final chapter presents three detailed case studies covering cost-effectiveness analyses using individual data from clinical trials, evidence synthesis and hierarchical models and Markov models. The text uses WinBUGS and JAGS with datasets and code available online.
Download or read book Bayesian Methods in Health Economics written by Gianluca Baio and published by CRC Press. This book was released on 2012-11-12 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: Health economics is concerned with the study of the cost-effectiveness of health care interventions. This book provides an overview of Bayesian methods for the analysis of health economic data. After an introduction to the basic economic concepts and methods of evaluation, it presents Bayesian statistics using accessible mathematics. The next chapters describe the theory and practice of cost-effectiveness analysis from a statistical viewpoint, and Bayesian computation, notably MCMC. The final chapter presents three detailed case studies covering cost-effectiveness analyses using individual data from clinical trials, evidence synthesis and hierarchical models and Markov models. The text uses WinBUGS and JAGS with datasets and code available online.
