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Discrete Choice Models

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Showing 51–100 of 104 papers

TitleStatusHype
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
Temporal-Difference estimation of dynamic discrete choice models—0
The geometry of consumer preference aggregation—0
Theory-based residual neural networks: A synergy of discrete choice models and deep neural networks—0
The Refined Assortment Optimization Problem—0
The Relevance of Item-Co-Exposure For Exposure Bias Mitigation—0
The unreasonable effectiveness of optimal transport in economics—0
The Use of Binary Choice Forests to Model and Estimate Discrete Choices—0
Transformer Choice Net: A Transformer Neural Network for Choice Prediction—0
Two Level Nested and Sequential Logit—0
Universal Inference for Incomplete Discrete Choice Models—0
Deep Neural Networks for Choice Analysis: Extracting Complete Economic Information for Interpretation—0
Weak Identification in Discrete Choice Models—0
Yogurts Choose Consumers? Estimation of Random-Utility Models via Two-Sided Matching—0
A break from the norm? Parametric representations of preference heterogeneity for discrete choice models in health—0
A Data-Driven State Aggregation Approach for Dynamic Discrete Choice Models—0
A Data Fusion Approach for Ride-sourcing Demand Estimation: A Discrete Choice Model with Sampling and Endogeneity Corrections—0
A Deep Learning and Gamification Approach to Energy Conservation at Nanyang Technological University—0
A Feedback Control Framework for Incentivised Suburban Parking Utilisation and Urban Core Traffic Relief—0
A Neural Network Based Choice Model for Assortment Optimization—0
A Note on "A survey of preference estimation with unobserved choice set heterogeneity" by Gregory S. Crawford, Rachel Griffith, and Alessandro Iaria—0
Approximating Choice Data by Discrete Choice Models—0
A Recursive Partitioning Approach for Dynamic Discrete Choice Modeling in High Dimensional Settings—0
Attitudes and Latent Class Choice Models using Machine learning—0
A tutorial on recursive models for analyzing and predicting path choice behavior—0
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