… Utility is a latent construct assumed to be partitioned into two … Our hybrid approach is both
general and flexible. Other … parameter estimation, we define the relative errors e β and e β i …

… as long as some are faced with the remaining combinations). … also significant advantages
in terms of flexibility, as it allows … , leading to correlation and more complex error structures. …

… The latent variable part is rather flexible in that it allows for … We develop discrete choices
models to better explain and … random error components as proxies for these latent behavioral …

… the advantages of incorporating latent variables in discrete choice models through the HCM.
… Extended discrete choice models: Integrated framework, flexible error structures, and latent …

… , which is a combination of structural equation model and discrete choice model, it is …
Extended discrete choice models: integrated framework, flexible error structures, and latent …

… Estimation of ICLV models (with single discrete choice kernels … The HMDC formulation
extends the existing ICLV model … (the error component in the measurement equation of the latent …

… flexibility and benefits of statistical latent behaviour models, ie … The ICLV model extends
the choice model by describing how … problem that researchers face when constructing latent …

… error structures and to allow for the explicit modelling of … 612), which seems to be simple and
flexible: “A latent random (or … applicable to discrete choice models with latent variables. The …

… discrete mixture models and specifically Latent Class Choice … other methods as they account
for flexibility in travel purposes and … evaluates the gradient and standard errors for linear-in-…

… nonlinear binary integer programming problem. The authors … A Latent Dirichlet Allocation
(LDA) model was used to model … is focused on modeling extensions to allow for flexible mixing …