Bayesian Analysis and Uncertainty in Economic Theory
Bayesian Analysis and Uncertainty in Economic Theory

Author: Richard Michael Cyert

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 278

ISBN-13: 9400931638

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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.

Uncertainty in Economic Theory
Uncertainty in Economic Theory

Author: Itzhak Gilboa

Publisher: Routledge

Published: 2004-08-02

Total Pages: 584

ISBN-13: 1134344155

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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.

Financial Econometrics: Bayesian Analysis, Quantum Uncertainty, and Related Topics
Financial Econometrics: Bayesian Analysis, Quantum Uncertainty, and Related Topics

Author: Nguyen Ngoc Thach

Publisher: Springer Nature

Published: 2022-05-28

Total Pages: 865

ISBN-13: 3030986896

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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.

The Economics of Uncertainty. (PSME-2), Volume 2
The Economics of Uncertainty. (PSME-2), Volume 2

Author: Karl Hendrik Borch

Publisher: Princeton University Press

Published: 2015-12-08

Total Pages: 236

ISBN-13: 1400874769

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Game theory has brought into economics an uncertainty principle similar to the one brought into physics by the quantum theory. Professor Barch's main purpose in this book is to show how one can construct realistic economic theories by taking uncertainty into account instead of dismissing it. He brings together a number of recent developments in different fields of economics and other social sciences in which uncertainty and chance play a central role and shows that they really constitute an entity. These developments include the revisions of utility, the introduction of game theory as a basic tool, and the view of the foundations of probability theory adopted by modern Bayesian statisticians. Originally published in 1968. The Princeton Legacy Library uses the latest print-on-demand technology to again make available previously out-of-print books from the distinguished backlist of Princeton University Press. These editions preserve the original texts of these important books while presenting them in durable paperback and hardcover editions. The goal of the Princeton Legacy Library is to vastly increase access to the rich scholarly heritage found in the thousands of books published by Princeton University Press since its founding in 1905.

Bayesian Economics Through Numerical Methods
Bayesian Economics Through Numerical Methods

Author: Jeffrey H. Dorfman

Publisher: Springer Science & Business Media

Published: 2006-03-31

Total Pages: 115

ISBN-13: 0387226354

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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.

Principles of Uncertainty
Principles of Uncertainty

Author: Joseph B. Kadane

Publisher: CRC Press

Published: 2020-11-25

Total Pages: 497

ISBN-13: 1351683357

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Praise for the first edition: Principles of Uncertainty is a profound and mesmerising book on the foundations and principles of subjectivist or behaviouristic Bayesian analysis. ... the book is a pleasure to read. And highly recommended for teaching as it can be used at many different levels. ... A must-read for sure! —Christian Robert, CHANCE It's a lovely book, one that I hope will be widely adopted as a course textbook. —Michael Jordan, University of California, Berkeley, USA Like the prize-winning first edition, Principles of Uncertainty, Second Edition is an accessible, comprehensive text on the theory of Bayesian Statistics written in an appealing, inviting style, and packed with interesting examples. It presents an introduction to the subjective Bayesian approach which has played a pivotal role in game theory, economics, and the recent boom in Markov Chain Monte Carlo methods. This new edition has been updated throughout and features new material on Nonparametric Bayesian Methods, the Dirichlet distribution, a simple proof of the central limit theorem, and new problems. Key Features: First edition won the 2011 DeGroot Prize Well-written introduction to theory of Bayesian statistics Each of the introductory chapters begins by introducing one new concept or assumption Uses "just-in-time mathematics"—the introduction to mathematical ideas just before they are applied

Bayesian Theory and Applications
Bayesian Theory and Applications

Author: Paul Damien

Publisher: Oxford University Press

Published: 2013-01-24

Total Pages: 717

ISBN-13: 0199695601

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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.