… integrated framework of modelling mode and departure time … a Latent Class Model (LCM) of
RUM-based discrete choices. … choice modelling in two aspects: first, it presents a flexible and …

… We find two latent segments distinguished by demographics … in light of possible measurement
errors present in the data. Based … This may be because friends and family were flexible in …

… Through this work we refer to long term stable attitudes as … or measurement error. In
our case, additional significant … way to consider latent variables in discrete choice models. …

… the flexible econometric models of structural choice modelling … two discrete choice experiments;
one binary and one trinary … latent structures are specified via a structural choice model to …

… Using a Discrete Choice Experiment, we examine how much … We estimate a Latent Class
Model that accounts for taste … that the difference between the errors of two alternatives leads to …

… We demonstrate the flexibility of our framework through … , nodes choose to connect to others
based on some intrinsic latent … -based model fitting is that we can compute standard errors …

… of interest not only to discrete choice modellers, but also to … estimates of the choice model
across specifications, as long as we … is still flexible enough to model the variance in the data. …

… are highly flexible non-compensatory decision protocols. … the similarities between latent class
models and decision tree … for bayesian model trees remains an open problem, and it is one …

… that the error component distributes IID Gumbel. The Mixed Logit is a very flexible model [36…
the impact of incorporating latent variables into the discrete choice models was far-reaching. …

… adapt the ResNet approach for discrete choice models, and it has … , tractable, and flexible
model formulation for representing … hybrid choice models and the integrated choice and latent …