A Bayesian Approach To Hybrid Choice Models
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A Bayesian Approach To Hybrid Choice Models
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Author : Ricardo Alvarez Daziano
language : en
Publisher:
Release Date : 2010
A Bayesian Approach To Hybrid Choice Models written by Ricardo Alvarez Daziano and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with categories.
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.
Handbook Of Choice Modelling
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Author : Stephane Hess
language : en
Publisher: Edward Elgar Publishing
Release Date : 2014-08-29
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 2014-08-29 with Business & Economics categories.
The Handbook of Choice Modelling, composed of contributions from senior figures in the field, summarizes the essential analytical techniques and discusses the key current research issues. The book opens with Nobel Laureate Daniel McFadden calling for d
Choice Modelling
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Author : Stephane Hess
language : en
Publisher: Emerald Group Publishing
Release Date : 2010-01-15
Choice Modelling written by Stephane Hess 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 2010-01-15 with Transportation categories.
Contains a selection of the best theoretical and applied papers from the inaugural International Choice Modelling Conference. The conference was organised by the Institute for Transport Studies at the University of Leeds and held in Harrogate, North Yorkshire on 30 March to 1 April 2009.
Discrete Choice Methods With Simulation
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Author : Kenneth Train
language : en
Publisher: Cambridge University Press
Release Date : 2009-07-06
Discrete Choice Methods With Simulation written by Kenneth Train 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 2009-07-06 with Business & Economics categories.
This book describes the new generation of discrete choice methods, focusing on the many advances that are made possible by simulation. Researchers use these statistical methods to examine the choices that consumers, households, firms, and other agents make. Each of the major models is covered: logit, generalized extreme value, or GEV (including nested and cross-nested logits), probit, and mixed logit, plus a variety of specifications that build on these basics. Simulation-assisted estimation procedures are investigated and compared, including maximum stimulated likelihood, method of simulated moments, and method of simulated scores. Procedures for drawing from densities are described, including variance reduction techniques such as anithetics and Halton draws. Recent advances in Bayesian procedures are explored, including the use of the Metropolis-Hastings algorithm and its variant Gibbs sampling. The second edition adds chapters on endogeneity and expectation-maximization (EM) algorithms. No other book incorporates all these fields, which have arisen in the past 25 years. The procedures are applicable in many fields, including energy, transportation, environmental studies, health, labor, and marketing.
Bayesian Inference In Dynamic Discrete Choice Models
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Author : Andriy Norets
language : en
Publisher:
Release Date : 2007
Bayesian Inference In Dynamic Discrete Choice Models written by Andriy Norets and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with categories.
Discrete Choice Methods With Simulation
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Author : Kenneth Train
language : en
Publisher: Cambridge University Press
Release Date : 2003-01-13
Discrete Choice Methods With Simulation written by Kenneth Train 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 2003-01-13 with Business & Economics categories.
Table of contents
Choice Modelling
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Author : Stephane Hess
language : en
Publisher: Edward Elgar Publishing
Release Date : 2013-01-01
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 2013-01-01 with Business & Economics categories.
'This collection of papers, by leading researchers in the field, provides an excellent view of the current state of research and applications. Exciting new techniques are presented, and realistic solutions are offered to issues that arise in applied work. It is an admirably rich volume, offering valuable insights for all readers of choice modeling.' Kenneth Train, University of California, Berkeley and NERA Economic Consulting, Inc., San Francisco, California, US 'I'm an enthusiastic fan of the ICMC, where researchers are friendly, genuinely interested in learning from and helping one another. There is much to learn because each discipline brings a different perspective to the field and to theoretical and applied problems in decision-making and choice behavior. The ICMC embodies the philosophy that most real choice problems are complex and require a cross-disciplinary approach. The papers in this volume represent an eclectic cross-section of the topics covered by key researchers in the field. I look forward to getting our PhD students and postdocs stuck into them.' Jordan Louviere, University of Technology Sydney, Australia Choice modelling has been one of the most active fields in economics over recent years. This valuable new book contains leading contributions from academics and practitioners from across the different areas of study where choice modelling is a key analytical technique, drawn from a recent international conference. Choice models explain the behaviour of individuals by quantifying their values, responses and perceptions of attributes describing the various options (alternatives) available to them. Policy makers and planners have long since recognised the potential of using choice models for guidance purposes, with applications in fields as diverse as transport analysis, healthcare, telecommunications, public service evaluation and energy. The unique mix of theoretical and applied chapters will appeal to academics, students, researchers and practitioners in various fields, as well as anyone with a general interest in the subject.
Applied Discrete Choice Modelling
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Author : David A. Hensher
language : en
Publisher: Taylor & Francis
Release Date : 1981
Applied Discrete Choice Modelling written by David A. Hensher and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 1981 with Decision making categories.
Estimation And Interpretation Of Discrete Choice Models
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Author : Jiahui Ying
language : en
Publisher:
Release Date : 2019
Estimation And Interpretation Of Discrete Choice Models written by Jiahui Ying and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.
The discrete choice model is a powerful method that can quantify consumer preferences for both non-market and market goods. In either stated preference surveys with choice experiments or revealed preference data like the retail-level transaction records, discrete outcomes are in the form of multivariate correlated variables. From the view of multivariate probability distributions, this dissertation investigates several methods that improve the estimation and interpretation of discrete choice models. First, for the mixed logit model, Gauss-Hermite integration is found to be a powerful alternative to maximum simulated likelihood when the number of random parameters is moderate($leq$6). It avoids simulation bias and simulation noise and only incurs controllable approximation error. Further, the Bayesian approach and the block delete jackknife are tested to outperform the Delta method in describing the distribution of mean Willingness to Pay in the mixed logit model. The virtues of a normally distributed cost coefficient is also validated with both empirical and synthetic data set. Finally, in the sense of aggregating discrete choices outcomes in a real market, a utility-consistent count system is developed as a tool to analyze consumer brand choices.