As computing capability has grown dramatically, the transport choice model has rigorously
included latent variables. However, integrated latent and choice variable (ICLV) models are …

As computing capability has grown dramatically, the transport choice model has rigorously
included latent variables. However, integrated latent and choice variable (ICLV) models are …

It is well known that estimating the parameters of an integrated choice and latent variable
(ICLV) model is not a trivial undertaking. The log-likelihood of an ICLV model cannot be …

Transportation decisions are profoundly influenced by latent variables which encapsulate an
individual's psychometric attributes and behavioral inclinations. However, when utilizing the …

In the current paper, we propose a new multinomial probit-based model formulation for
integrated choice and latent variable (ICLV) models, which, as we show in the paper, has …

We investigate the problem of endogeneity in the context of hybrid choice (integrated choice
and latent variable) models. We first provide a thorough analysis of potential causes of …

We investigate the problem of endogeneity in the context of hybrid choice (integrated choice
and latent variable) models. We first provide a thorough analysis of potential causes of …

This article applies two recently stated choice survey datasets of Japan to investigate the
difference between the Latent Class Model (LCM) and the Mixed Logit Model (MLM) for …

Integrated choice and latent variable (ICLV) model incorporates latent factors into standard
discrete choice model with aim to provide greater explanatory power. Using simulated …

Abstract The Expectation-Maximization (EM) algorithm is a well-established estimation
procedure which is used in many domains of econometric analysis. Recent application in a …