In multinomial response models, idiosyncratic variations in the indirect utility are generally
modeled using Gumbel or normal distributions. This study makes a strong case to substitute …

The likelihood functions of multinomial probit (MNP)-based choice models entail the
evaluation of analytically-intractable integrals. As a result, such models are usually …

Several non-linear functions and machine learning methods have been developed for
flexible specification of the systematic utility in discrete choice models. However, they lack …

Most multinomial choice models (eg, the multinomial logit model) adopted in practice
assume an extreme-value Gumbel distribution for the random components (error terms) of …

Class imbalance, where there are great differences between the number of observations
associated with particular discrete outcomes, is common within transportation and other …

This paper formally derives the class of multiple discrete-continuous generalized extreme
value (MDCGEV) models, a general class of multiple discrete-continuous choice models …

In this paper, we extend the standard discrete choice modelling framework by allowing for
random variations in the substitution patterns between alternatives across respondents …

The conditional indirect utility of many random utility maximization (RUM) discrete choice
models is specified as a sum of an index V depending on observables and an independent …

Partly as a result of the increasing reliance on Stated Choice (SC) data, the vast majority of
discrete choice modelling applications are now estimated on data containing multiple …

There is growing interest in the notion that a significant component of the heterogeneity
retrieved in random coefficients models may actually relate to variations in absolute …