SOTAVerified

Discrete Choice Models

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–50 of 104 papers

TitleStatusHype
A prediction and behavioural analysis of machine learning methods for modelling travel mode choiceCode1
Combining Discrete Choice Models and Neural Networks through Embeddings: Formulation, Interpretability and PerformanceCode1
Choice Set Optimization Under Discrete Choice Models of Group DecisionsCode1
Enhancing Discrete Choice Models with Representation LearningCode1
A break from the norm? Parametric representations of preference heterogeneity for discrete choice models in health—0
Bayesian Deep Learning for Discrete Choice—0
A Feedback Control Framework for Incentivised Suburban Parking Utilisation and Urban Core Traffic Relief—0
Two Level Nested and Sequential Logit—0
Designing Graph Convolutional Neural Networks for Discrete Choice with Network Effects—0
Model-Adaptive Approach to Dynamic Discrete Choice Models with Large State Spaces—0
Universal Inference for Incomplete Discrete Choice Models—0
RUM-NN: A Neural Network Model Compatible with Random Utility Maximisation for Discrete Choice Setups—0
Fully Data-driven but Interpretable Human Behavioural Modelling with Differentiable Discrete Choice Model—0
A utility-based spatial analysis of residential street-level conditions; A case study of Rotterdam—0
The Relevance of Item-Co-Exposure For Exposure Bias Mitigation—0
Choice-Learn: Large-scale choice modeling for operational contexts through the lens of machine learningCode0
Sensitivity Analysis for Dynamic Discrete Choice Models—0
Deep Learning for the Estimation of Heterogeneous Parameters in Discrete Choice Models—0
Simulation in discrete choice models evaluation: SDCM, a simulation tool for performance evaluation of DCMs—0
Enhancing Travel Choice Modeling with Large Language Models: A Prompt-Learning Approach—0
Conditional Choice Probability Estimation of Dynamic Discrete Choice Models with 2-period Finite Dependence—0
The geometry of consumer preference aggregation—0
Quasi-Bayesian Estimation and Inference with Control Functions—0
The Mixed Aggregate Preference Logit Model: A Machine Learning Approach to Modeling Unobserved Heterogeneity in Discrete Choice AnalysisCode0
Evaluating the Determinants of Mode Choice Using Statistical and Machine Learning Techniques in the Indian Megacity of Bengaluru—0
Equilibrium Multiplicity: A Systematic Approach using Homotopies, with an Application to Chicago—0
Semiparametric Discrete Choice Models for Bundles—0
Transformer Choice Net: A Transformer Neural Network for Choice Prediction—0
Sharp and Robust Estimation of Partially Identified Discrete Response Models—0
Discrete Choice Multi-Armed Bandits—0
Discrete-Choice Model with Generalized Additive Utility Network—0
Existence of a Competitive Equilibrium with Substitutes, with Applications to Matching and Discrete Choice Models—0
Computer vision-enriched discrete choice models, with an application to residential location choice—0
A Neural Network Based Choice Model for Assortment Optimization—0
Semiparametric Discrete Choice Models for Bundles—0
Network-based Representations and Dynamic Discrete Choice Models for Multiple Discrete Choice Analysis—0
Incorporating Domain Knowledge in Deep Neural Networks for Discrete Choice Models—0
Enhanced multilayer perceptron with feature selection and grid search for travel mode choice prediction—0
A Data-Driven State Aggregation Approach for Dynamic Discrete Choice Models—0
Faster estimation of dynamic discrete choice models using index invertibility—0
Attitudes and Latent Class Choice Models using Machine learning—0
Revisiting Panel Data Discrete Choice Models with Lagged Dependent Variables—0
A Data Fusion Approach for Ride-sourcing Demand Estimation: A Discrete Choice Model with Sampling and Endogeneity Corrections—0
Learning Consumer Preferences from Bundle Sales Data—0
A Recursive Partitioning Approach for Dynamic Discrete Choice Modeling in High Dimensional Settings—0
Representing Random Utility Choice Models with Neural NetworksCode0
Nested bandits—0
Graph-Based Methods for Discrete ChoiceCode0
Approximating Choice Data by Discrete Choice Models—0
A Note on "A survey of preference estimation with unobserved choice set heterogeneity" by Gregory S. Crawford, Rachel Griffith, and Alessandro Iaria—0
Show:102550
← PrevPage 1 of 3Next →

No leaderboard results yet.