J Choice Model
Introduction
Journal of Choice Modelling, 57
INTEREST CATEGORY: MARKETING RESEARCH
POSTING TYPE: TOCs
A smooth bounded choice model: Formulation and application in three large-scale case studies
—Laurent Cazor, Lawrence Christopher Duncan, David Paul Watling, Otto Anker Nielsen, Thomas Kjær Rasmussen []
Can an ‘informed’ general population sample be comparable to a patient sample? A case study of preferences for chemotherapy induced peripheral neuropathy
—Alice Yu, Rosalie Viney, Stephen Goodall, Deborah J. Street []
Using Lagrange multiplier type tests to detect structural intra-person heterogeneity in composite marginal likelihood estimation in panel data sets
—Sebastian Büscher, Dietmar Bauer []
Beyond the status quo: Leveraging reference-dependent theory in a neural network for consumer choice analysis
—Kyungah Kim, Jongsu Lee, Junghun Kim []
Recursive logit models for dynamic versus sequential trip chaining
—Stephen McCarthy, Fatemeh Naqavi, Anders Karlström []
A special Cholesky-based parameterization for estimation of restricted correlation matrices
—Kun Huang, Xin Ye, Mengyi Wang []
Re-examining the no-choice option in conjoint analysis
—Cheng-Yu Hung, Peter Kurz, Roger A. Bailey, Joel Huber, Greg M. Allenby []
Sensitivity analysis of Bayesian estimates of value function parameters to priors using imprecise probabilities
—Ambuj Sriwastava, Peter Reichert []
A neural estimation framework for discrete choice models with arbitrary error distributions
—Niousha Bagheri, Milad Ghasri, Michael Barlow []
A novel algorithm for drawing nested extreme value random variables
—Wilbur Townsend []