Transport and Mobility Laboratory, EPFL
May 26, 2010, 10:15, Room GC B3 424 (click here for the map)
<p>Hybrid choice models integrate many types of discrete choice modeling methods, including latent classes and latent variables, in order to capture concepts such as perceptions, attitudes, preferences, and motivation (Ben-Akiva et al., 2002). Although they provide an excellent framework to capture complex behavior patterns, their use in applications remains confidential in the literature due to the difficulty of estimating the models. </p><p> In this talk, we provide a short introduction to hybrid choice models, and explain how the new version of biogeme can be used to estimate their parameters. </p><p> Ben-Akiva, M., McFadden, D., Train, K., Walker, J., Bhat, C., Bierlaire, M., Bolduc, D., Boersch-Supan, A., Brownstone, D., Bunch, D., Daly, A., de Palma, A., Gopinath, D., Karlstrom, A., and Munizaga, M. A. (2002). Hybrid choice models: Progress and challenges, Marketing Letters 13(3):163-175</p>