[图书][B] The mixed logit model: The state of practice and warnings for the unwary
DA Hensher, WH Greene - 2002 - pages.stern.nyu.edu
The mixed logit model is considered to be the most promising state of the art discrete choice
model currently available. Increasingly researchers and practitioners are estimating mixed …
model currently available. Increasingly researchers and practitioners are estimating mixed …
The mixed logit model: the state of practice
DA Hensher, WH Greene - Transportation, 2003 - Springer
The mixed logit model is considered to be the most promising state of the art discrete choice
model currently available. Increasingly researchers and practitioners are estimating mixed …
model currently available. Increasingly researchers and practitioners are estimating mixed …
Mixed logit modeling in Stata--an overview
AR Hole - United Kingdom Stata Users' Group Meetings 2013, 2013 - ideas.repec.org
The" workhorse" model for analysing discrete choice data, the conditional logit model, can
be implemented in Stata using the official clogit and asclogit commands. While widely used …
be implemented in Stata using the official clogit and asclogit commands. While widely used …
[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 …
A latent class model for discrete choice analysis: contrasts with mixed logit
WH Greene, DA Hensher - Transportation Research Part B …, 2003 - Elsevier
The multinomial logit model (MNL) has for many years provided the fundamental platform for
the analysis of discrete choice. The basic model's several shortcomings, most notably its …
the analysis of discrete choice. The basic model's several shortcomings, most notably its …
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 …
[PDF][PDF] A comparison of hierarchical Bayes and maximum simulated likelihood for mixed logit
K Train - University of California, Berkeley, 2001 - researchgate.net
Mixed logit is a flexible discrete choice model that allows for random coefficients and/or error
components that induce correlation over alternatives and time. Procedures for estimating …
components that induce correlation over alternatives and time. Procedures for estimating …
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 …
Hybrid choice models
M Abou-Zeid, M Ben-Akiva - Handbook of choice modelling, 2024 - elgaronline.com
The Hybrid Choice Model (HCM) is a modeling framework that attempts to bridge the gap
between discrete choice models and behavioral theories by representing explicitly …
between discrete choice models and behavioral theories by representing explicitly …
[PDF][PDF] Tests for the multinomial logit model
There are several tests that are commonly used in association with the multinomial logit
model (MNLM hereafter). First, we can test that all of the coefficients associated with an …
model (MNLM hereafter). First, we can test that all of the coefficients associated with an …