Journal of Choice Modelling
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TOTAL DOCUMENTS

349
(FIVE YEARS 122)

H-INDEX

25
(FIVE YEARS 6)

Published By Elsevier

1755-5345
Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

scholarly journals Volumetric choice experiments (VCEs)

2022 ◽  
pp. 100343
Author(s):  
Richard T. Carson ◽  
Thomas C. Eagle ◽  
Towhidul Islam ◽  
Jordan J. Louviere
Keyword(s):  
Choice Experiments

scholarly journals Characterizing the impact of discrete indicators to correct for endogeneity in discrete choice models

2022 ◽  
pp. 100342
Author(s):  
Thomas E. Guerrero ◽  
C. Angelo Guevara ◽  
Juan de Dios Ortúzar ◽  
Elisabetta Cherchi
Keyword(s):  
Discrete Choice ◽  
Choice Models ◽  
Discrete Choice Models ◽  
The Impact

scholarly journals Long-distance mode choice model estimation using mobile phone network data

2021 ◽  
pp. 100337
Author(s):  
Angelica Andersson ◽  
Leonid Engelson ◽  
Maria Börjesson ◽  
Andrew Daly ◽  
Ida Kristoffersson
Keyword(s):  
Mobile Phone ◽  
Choice Model ◽  
Mode Choice ◽  
Network Data ◽  
Model Estimation ◽  
Long Distance ◽  
Mode Choice Model ◽  
Mobile Phone Network

scholarly journals Case 2 best-worst scaling: For good or for bad but not for both

2021 ◽  
Vol 41 ◽  
pp. 100325
Author(s):  
V. Soekhai ◽  
B. Donkers ◽  
B. Levitan ◽  
E.W. de Bekker-Grob
Keyword(s):  
Best Worst Scaling

scholarly journals Choice modelling in the age of machine learning - Discussion paper

2021 ◽  
pp. 100340
Author(s):  
Sander van Cranenburgh ◽  
Shenhao Wang ◽  
Akshay Vij ◽  
Francisco Pereira ◽  
Joan Walker
Keyword(s):  
Machine Learning ◽  
Choice Modelling ◽  
Discussion Paper

Latent class choice model with a flexible class membership component: A mixture model approach

2021 ◽  
Vol 41 ◽  
pp. 100320
Author(s):  
Georges Sfeir ◽  
Maya Abou-Zeid ◽  
Filipe Rodrigues ◽  
Francisco Camara Pereira ◽  
Isam Kaysi
Keyword(s):  
Mixture Model ◽  
Latent Class ◽  
Choice Model ◽  
Class Membership ◽  
Mixture Model Approach ◽  
Model Approach

scholarly journals xlogit: An open-source Python package for GPU-accelerated estimation of Mixed Logit models

2021 ◽  
pp. 100339
Author(s):  
Cristian Arteaga ◽  
JeeWoong Park ◽  
Prithvi Bhat Beeramoole ◽  
Alexander Paz
Keyword(s):  
Open Source ◽  
Mixed Logit ◽  
Logit Models ◽  
Mixed Logit Models ◽  
Python Package
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