Random Binary Choices That Satisfy Stochastic Betweenness
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Random Binary Choices That Satisfy Stochastic Betweenness
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Author : Matthew J. Ryan
language : en
Publisher:
Release Date : 2016
Random Binary Choices That Satisfy Stochastic Betweenness written by Matthew J. Ryan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with Decision making categories.
Algorithmic Decision Theory
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Author : Patrice Perny
language : en
Publisher: Springer
Release Date : 2013-10-28
Algorithmic Decision Theory written by Patrice Perny and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10-28 with Computers categories.
This book constitutes the thoroughly refereed conference proceedings of the Third International Conference on Algorithmic Decision Theory, ADT 2013, held in November 2013 in Bruxelles, Belgium. The 33 revised full papers presented were carefully selected from more than 70 submissions, covering preferences in reasoning and decision making, uncertainty and robustness in decision making, multi-criteria decision analysis and optimization, collective decision making, learning and knowledge extraction for decision support.
Risk Aversion In Experiments
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Author : G.W. Harrison
language : en
Publisher: Emerald Group Publishing
Release Date : 2008-02-29
Risk Aversion In Experiments written by G.W. Harrison and has been published by Emerald Group Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-02-29 with Business & Economics categories.
Presents research utilizing laboratory experimental methods in economics.
Handbook Of Choice Modelling
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Author : Stephane Hess
language : en
Publisher: Edward Elgar Publishing
Release Date : 2024-06-05
Handbook Of Choice Modelling written by Stephane Hess and has been published by Edward Elgar Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-05 with Business & Economics categories.
This thoroughly revised second edition Handbook provides an authoritative and in-depth overview of choice modelling, covering essential topics range from data collection through model specification and estimation to analysis and use of results. It aptly emphasises the broad relevance of choice modelling when applied to a multitude of fields, including but not limited to transport, marketing, health and environmental economics.
Cognitive Choice Modeling
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Author : Zheng Joyce Wang
language : en
Publisher: MIT Press
Release Date : 2021-03-09
Cognitive Choice Modeling written by Zheng Joyce Wang and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-09 with Science categories.
The emerging interdisciplinary field of cognitive choice models integrates theory and recent research findings from both decision process and choice behavior. Cognitive decision processes provide the interface between the environment and brain, enabling choice behavior, and the basic cognitive mechanisms underlying decision processes are fundamental to all fields of human activity. Yet cognitive processes and choice processes are often studied separately, whether by decision theorists, consumer researchers, or social scientists. In Cognitive Choice Modeling, Zheng Joyce Wang and Jerome R. Busemeyer introduce a new cognitive modeling approach to the study of human choice behavior. Integrating recent research findings from both cognitive science and choice behavior, they lay the groundwork for the emerging interdisciplinary field of cognitive choice modeling.
Probablistic Models For Binary Choice Behavior
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Author : Fernando Menezes Campello de Souza
language : en
Publisher:
Release Date : 1979
Probablistic Models For Binary Choice Behavior written by Fernando Menezes Campello de Souza and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1979 with Choice (Psychology) categories.
A Comparison Of Probabilistic Unfolding Theories For Paired Comparisons Data
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Author : Patrick Bossuyt
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
A Comparison Of Probabilistic Unfolding Theories For Paired Comparisons Data written by Patrick Bossuyt and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Psychology categories.
Some data-analytic methods excel by their sheer elegance. Their basic principles seem to have a particular attraction, based on a intricate combination of simplicity, deliberation, and power. They usually balance on the verge of two disciplines, data-analysis and foundational measurement, or statistics and psychology. To me, unfolding has always been one of them. The theory and the original methodology were created by Clyde Coombs (1912-1988) to describe and analyze preferential choice data. The fundamental assumptions are truly psy chological; Unfolding is based on the notion of a single peaked preference function over a psychological similarity space, or, in an alternative but equivalent expression, on the assumption of implicit comparisons with an ideal alternative. Unfolding has proved to be a very constructive data-analytic principle, and a source of inspiration for many theories on choice behavior. Yet the number of applications has not lived up to the acclaim the theory has received among mathematical psychologists. One of the reasons is that it requires far more consistency in human choice behavior than can be expected. Several authors have tried to attenuate these requirements by turning the deterministic unfolding theory into a probabilistic one. Since Coombs first put forth a probabilistic version of his theory, a number of competing proposals have been presented in the literature over the past thirty years. This monograph contains a summary and a comparison of unfolding theories for paired comparisons data, and an evaluation strategy designed to assess the validity of these theories in empirical choice tasks.
Applied Choice Analysis
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Author : David A. Hensher
language : en
Publisher: Cambridge University Press
Release Date : 2015-06-11
Applied Choice Analysis written by David A. Hensher and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-06-11 with Business & Economics categories.
A fully updated second edition of this popular introduction to applied choice analysis, written for graduate students, researchers, professionals and consultants.
Handbook Of Utility Theory
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Author : Salvador Barbera
language : en
Publisher: Springer Science & Business Media
Release Date : 1998
Handbook Of Utility Theory written by Salvador Barbera and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Business & Economics categories.
The standard rationality hypothesis implies that behaviour can be represented as the maximization of a suitably restricted utility function. This hypothesis lies at the heart of a large body of recent work in economics, of course, but also in political science, ethics, and other major branches of social sciences. Though the utility maximization hypothesis is venerable, it remains an area of active research. Moreover, some fundamental conceptual problems remain unresolved, or at best have resolutions that are too recent to have achieved widespread understanding among social scientists. The main purpose of the Handbook of Utility Theory is to make recent developments in the area more accessible. The editors selected a number of specific topics, and invited contributions from researchers whose work had come to their attention. Therefore, the list of topics and contributions is largely the editors' responsibility. Each contributor's chapter has been refereed, and revised according to the referees' remarks. This is the first volume of a two volume set, with the second volume focusing on extensions of utility theory.
An Introduction To Kolmogorov Complexity And Its Applications
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Author : Ming Li
language : en
Publisher: Springer
Release Date : 2019-06-11
An Introduction To Kolmogorov Complexity And Its Applications written by Ming Li and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-11 with Mathematics categories.
This must-read textbook presents an essential introduction to Kolmogorov complexity (KC), a central theory and powerful tool in information science that deals with the quantity of information in individual objects. The text covers both the fundamental concepts and the most important practical applications, supported by a wealth of didactic features. This thoroughly revised and enhanced fourth edition includes new and updated material on, amongst other topics, the Miller-Yu theorem, the Gács-Kučera theorem, the Day-Gács theorem, increasing randomness, short lists computable from an input string containing the incomputable Kolmogorov complexity of the input, the Lovász local lemma, sorting, the algorithmic full Slepian-Wolf theorem for individual strings, multiset normalized information distance and normalized web distance, and conditional universal distribution. Topics and features: describes the mathematical theory of KC, including the theories of algorithmic complexity and algorithmic probability; presents a general theory of inductive reasoning and its applications, and reviews the utility of the incompressibility method; covers the practical application of KC in great detail, including the normalized information distance (the similarity metric) and information diameter of multisets in phylogeny, language trees, music, heterogeneous files, and clustering; discusses the many applications of resource-bounded KC, and examines different physical theories from a KC point of view; includes numerous examples that elaborate the theory, and a range of exercises of varying difficulty (with solutions); offers explanatory asides on technical issues, and extensive historical sections; suggests structures for several one-semester courses in the preface. As the definitive textbook on Kolmogorov complexity, this comprehensive and self-contained work is an invaluable resource for advanced undergraduate students, graduate students, and researchers in all fields of science.