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Discrete Choice Models

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Showing 51–100 of 104 papers

TitleStatusHype
Enhancing Travel Choice Modeling with Large Language Models: A Prompt-Learning Approach—0
Equilibrium Multiplicity: A Systematic Approach using Homotopies, with an Application to Chicago—0
Evaluating the Determinants of Mode Choice Using Statistical and Machine Learning Techniques in the Indian Megacity of Bengaluru—0
Existence of a Competitive Equilibrium with Substitutes, with Applications to Matching and Discrete Choice Models—0
Faster estimation of dynamic discrete choice models using index invertibility—0
Fully Data-driven but Interpretable Human Behavioural Modelling with Differentiable Discrete Choice Model—0
Gaussian Process Latent Class Choice Models—0
Generation of discrete random variables in scalable frameworks—0
Global Concavity and Optimization in a Class of Dynamic Discrete Choice Models—0
Identification in discrete choice models with imperfect information—0
Identification of Average Marginal Effects in Fixed Effects Dynamic Discrete Choice Models—0
Identifying Dynamic Discrete Choice Models with Hyperbolic Discounting—0
Identifying the Discount Factor in Dynamic Discrete Choice Models—0
Incorporating Domain Knowledge in Deep Neural Networks for Discrete Choice Models—0
Inference for Large-Scale Linear Systems with Known Coefficients—0
Interpretable Social Anchors for Human Trajectory Forecasting in Crowds—0
Learning Consumer Preferences from Bundle Sales Data—0
The Limits of Personalization in Assortment Optimization—0
Matching Function Equilibria with Partial Assignment: Existence, Uniqueness and Estimation—0
Mixed Logit Models and Network Formation—0
Model-Adaptive Approach to Dynamic Discrete Choice Models with Large State Spaces—0
Modeling and Analysis of Discrete Response Data: Applications to Public Opinion on Marijuana Legalization in the United States—0
Nested bandits—0
Nested Pseudo Likelihood Estimation of Continuous-Time Dynamic Discrete Games—0
Network-based Representations and Dynamic Discrete Choice Models for Multiple Discrete Choice Analysis—0
Sharp and Robust Estimation of Partially Identified Discrete Response Models—0
On the estimation of discrete choice models to capture irrational customer behaviors—0
Posterior Average Effects—0
Quasi-Bayesian Estimation and Inference with Control Functions—0
Random Projection Estimation of Discrete-Choice Models with Large Choice Sets—0
Revisiting Panel Data Discrete Choice Models with Lagged Dependent Variables—0
RUM-NN: A Neural Network Model Compatible with Random Utility Maximisation for Discrete Choice Setups—0
Semi-nonparametric Latent Class Choice Model with a Flexible Class Membership Component: A Mixture Model Approach—0
Semiparametric Bayesian Estimation of Dynamic Discrete Choice Models—0
Semiparametric Discrete Choice Models for Bundles—0
Semiparametric Discrete Choice Models for Bundles—0
Semi-supervised Learning for Discrete Choice Models—0
Sensitivity Analysis for Dynamic Discrete Choice Models—0
Simulation in discrete choice models evaluation: SDCM, a simulation tool for performance evaluation of DCMs—0
Social Choice Random Utility Models of Intransitive Pairwise Comparisons—0
Solving Dynamic Discrete Choice Models: Integrated or Expected Value Function?—0
Solving Dynamic Discrete Choice Models Using Smoothing and Sieve Methods—0
Choice Set Confounding in Discrete ChoiceCode0
Choice-Learn: Large-scale choice modeling for operational contexts through the lens of machine learningCode0
Graph-Based Methods for Discrete ChoiceCode0
Representing Random Utility Choice Models with Neural NetworksCode0
The Mixed Aggregate Preference Logit Model: A Machine Learning Approach to Modeling Unobserved Heterogeneity in Discrete Choice AnalysisCode0
Identification of Incomplete PreferencesCode0
Fast Learning of MNL Model from General Partial Rankings with Application to Network Formation ModelingCode0
A Neural-embedded Choice Model: TasteNet-MNL Modeling Taste Heterogeneity with Flexibility and InterpretabilityCode0
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