Individual-specific point and interval conditional estimates of latent class logit parameters
M Sarrias, RA Daziano - Journal of choice modelling, 2018 - Elsevier
Within the realm of logit-type random parameter models to address unobserved
heterogeneity in preferences there are two dominant approaches: the mixed logit model …
heterogeneity in preferences there are two dominant approaches: the mixed logit model …
Comparison of parametric and semiparametric representations of unobserved preference heterogeneity in logit models
The logit-mixed logit (LML) model is a very recent advancement in semiparametric discrete
choice models. LML represents the mixing distribution of a logit kernel as a sieve function …
choice models. LML represents the mixing distribution of a logit kernel as a sieve function …
Conditional parameter estimates from Mixed Logit models: distributional assumptions and a free software tool
S Hess - Journal of Choice Modelling, 2010 - Elsevier
A number of authors have discussed the possible advantages of conditioning parameter
distributions on observed choices when working with Mixed Multinomial Logit models …
distributions on observed choices when working with Mixed Multinomial Logit models …
[HTML][HTML] Distribution-free estimation of individual parameter logit (IPL) models using combined evolutionary and optimization algorithms
J Swait - Journal of choice modelling, 2023 - Elsevier
When estimating random coefficients models from choice data, decisions relating to the
multivariate density function assumed to describe preference heterogeneity across the …
multivariate density function assumed to describe preference heterogeneity across the …
Extending the logit-mixed logit model for a combination of random and fixed parameters
The logit-mixed logit (LML) model, which allows the analyst to semi-parametrically specify
the mixing distribution of preference heterogeneity, is a very recent advancement in logit …
the mixing distribution of preference heterogeneity, is a very recent advancement in logit …
On assignment to classes in latent class logit models
W Wu, RA Daziano - Transportation research record, 2023 - journals.sagepub.com
Random parameter logit models address unobserved preference heterogeneity in discrete
choice analysis. The latent class logit model assumes a discrete heterogeneity distribution …
choice analysis. The latent class logit model assumes a discrete heterogeneity distribution …
The random coefficients logit model is identified
The random coefficients, multinomial choice logit model has been widely used in empirical
choice analysis for the last 30 years. We are the first to prove that the distribution of random …
choice analysis for the last 30 years. We are the first to prove that the distribution of random …
The random coefficients logit model is identified
The random coefficients multinomial choice logit model, also known as the mixed logit, has
been widely used in empirical choice analysis for the last thirty years. We prove that the …
been widely used in empirical choice analysis for the last thirty years. We prove that the …
Heteroscedastic control for random coefficients and error components in mixed logit
WH Greene, DA Hensher - Transportation Research Part E: Logistics and …, 2007 - Elsevier
Developments in simulation methods, and the computational power that is now available,
have enabled open-form discrete choice models such as mixed logit to be estimated with …
have enabled open-form discrete choice models such as mixed logit to be estimated with …
[HTML][HTML] Evaluating the predictive abilities of mixed logit models with unobserved inter-and intra-individual heterogeneity
Mixed logit models with unobserved inter-and intra-individual heterogeneity hierarchically
extend standard mixed logit models by allowing tastes to vary randomly both across …
extend standard mixed logit models by allowing tastes to vary randomly both across …