Hybrid Choice Models: Progress and Challenges View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2002-08

AUTHORS

Moshe Ben-Akiva, Daniel Mcfadden, Kenneth Train, Joan Walker, Chandra Bhat, Michel Bierlaire, Denis Bolduc, Axel Boersch-Supan, David Brownstone, David S. Bunch, Andrew Daly, Andre De Palma, Dinesh Gopinath, Anders Karlstrom, Marcela A. Munizaga

ABSTRACT

We discuss the development of predictive choice models that go beyond the random utility model in its narrowest formulation. Such approaches incorporate several elements of cognitive process that have been identified as important to the choice process, including strong dependence on history and context, perception formation, and latent constraints. A flexible and practical hybrid choice model is presented that integrates many types of discrete choice modeling methods, draws on different types of data, and allows for flexible disturbances and explicit modeling of latent psychological explanatory variables, heterogeneity, and latent segmentation. Both progress and challenges related to the development of the hybrid choice model are presented. More... »

PAGES

163-175

References to SciGraph publications

  • 1999-08. Extended Framework for Modeling Choice Behavior in MARKETING LETTERS
  • 1994-10. Combining revealed and stated preferences data in MARKETING LETTERS
  • 1997-07. Modeling Methods for Discrete Choice Analysis in MARKETING LETTERS
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1023/a:1020254301302

    DOI

    http://dx.doi.org/10.1023/a:1020254301302

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1018253117


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