A new generalized heterogeneous data model (GHDM) to jointly model mixed types of dependent variables-Reference-Cited by-同舟云学术

A new generalized heterogeneous data model (GHDM) to jointly model mixed types of dependent variables

Published:2015-09 Issue: Volume:79 Page:50-77
ISSN:0191-2615
Container-title:Transportation Research Part B: Methodological
language:en
Short-container-title:Transportation Research Part B: Methodological

Author:

Bhat Chandra R.

Publisher

Elsevier BV

Subject

Management Science and Operations Research,Transportation,Civil and Structural Engineering

Reference57 articles.

1. Understanding neighbourhood design impact on travel behaviour: an application of structural equations model to a British metropolitan data;Aditjandra;Transportation Research Part A,2012

2. Self-determination theory and diminished functioning the role of interpersonal control and psychological need thwarting;Bartholomew;Personality and Social Psychology Bulletin,2011

3. Hybrid choice models: progress and challenges;Ben-Akiva;Marketing Letters,2002

4. The maximum approximate composite marginal likelihood (MACML) estimation of multinomial probit-based unordered response choice models;Bhat;Transportation Research Part B,2011

5. The composite marginal likelihood (CML) inference approach with applications to discrete and mixed dependent variable models;Bhat;Foundations and Trends in Econometrics,2014

Cited by 76 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Food purchasing and eating patterns: Assessing the role of people’s mobility, social networks, and attitudes on healthy diets;Travel Behaviour and Society;2025-01

2. The interplay between teleworking choice and commute distance;Transportation Research Part C: Emerging Technologies;2024-08

3. Investigating Objective and Subjective Factors Influencing the Frequency and Purpose of E-Scooter Trips;Transportation Research Record: Journal of the Transportation Research Board;2024-07-24

4. Modeling the impact of normative messages on travel behavior change;Transportation Research Part D: Transport and Environment;2024-04

5. A novel integrated approach to modeling and predicting crash frequency by crash event state;Analytic Methods in Accident Research;2024-03