The Use of Binary Choice Forests to Model and Estimate Discrete Choices
Fuente:
arXiv
Saved in:
| Main Authors: | Chen, Ningyuan, Gallego, Guillermo, Tang, Zhuodong |
|---|---|
| Format: | Preprint |
| Published: |
2019
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Bayesian Deep Learning for Discrete Choice
by: Villarraga, Daniel F., et al.
Published: (2025)
by: Villarraga, Daniel F., et al.
Published: (2025)
Choice Models and Permutation Invariance: Demand Estimation in Differentiated Products Markets
by: Singh, Amandeep, et al.
Published: (2023)
by: Singh, Amandeep, et al.
Published: (2023)
Amortized Inference for Correlated Discrete Choice Models via Equivariant Neural Networks
by: Huch, Easton, et al.
Published: (2026)
by: Huch, Easton, et al.
Published: (2026)
Auditing and Fixing Economic Validity in Tabular Foundation Models for Discrete Choice
by: Wang, Yingshuo, et al.
Published: (2026)
by: Wang, Yingshuo, et al.
Published: (2026)
Designing Graph Convolutional Neural Networks for Discrete Choice with Network Effects
by: Villarraga, Daniel F., et al.
Published: (2025)
by: Villarraga, Daniel F., et al.
Published: (2025)
Externally Valid Policy Choice
by: Adjaho, Christopher, et al.
Published: (2022)
by: Adjaho, Christopher, et al.
Published: (2022)
A Lecture Note on Offline RL and IRL, Part II: Foundations of Inverse Reinforcement Learning and Dynamic Discrete Choice Models
by: Kang, Enoch Hyunwook
Published: (2026)
by: Kang, Enoch Hyunwook
Published: (2026)
An Empirical Risk Minimization Approach for Offline Inverse RL and Dynamic Discrete Choice Model
by: Kang, Enoch H., et al.
Published: (2025)
by: Kang, Enoch H., et al.
Published: (2025)
On Sinkhorn's Algorithm and Choice Modeling
by: Qu, Zhaonan, et al.
Published: (2023)
by: Qu, Zhaonan, et al.
Published: (2023)
Torch-Choice: A PyTorch Package for Large-Scale Choice Modeling with Python
by: Du, Tianyu, et al.
Published: (2023)
by: Du, Tianyu, et al.
Published: (2023)
Active Adaptive Experimental Design for Treatment Effect Estimation with Covariate Choices
by: Kato, Masahiro, et al.
Published: (2024)
by: Kato, Masahiro, et al.
Published: (2024)
Dynamic Discrete-Continuous Choice Models: Identification and Conditional Choice Probability Estimation
by: Bruneel-Zupanc, Christophe
Published: (2025)
by: Bruneel-Zupanc, Christophe
Published: (2025)
Sequential Estimation of Dynamic Discrete Choice Models with Unobserved Heterogeneity
by: Chen, Ertian, et al.
Published: (2026)
by: Chen, Ertian, et al.
Published: (2026)
Using SVM to Estimate and Predict Binary Choice Models
by: Chang, Yoosoon, et al.
Published: (2026)
by: Chang, Yoosoon, et al.
Published: (2026)
Conditional Choice Probability Estimation of Dynamic Discrete Choice Models with 2-period Finite Dependence
by: Hao, Yu, et al.
Published: (2024)
by: Hao, Yu, et al.
Published: (2024)
A Nonparametric Approach with Marginals for Modeling Consumer Choice
by: Ruan, Yanqiu, et al.
Published: (2022)
by: Ruan, Yanqiu, et al.
Published: (2022)
The Partial Testimony of Logs: Evaluation of Language Model Generation under Confounded Model Choice
by: Jin, Jikai, et al.
Published: (2026)
by: Jin, Jikai, et al.
Published: (2026)
Reinforcement Learning Based Computationally Efficient Conditional Choice Simulation Estimation of Dynamic Discrete Choice Models
by: Khwaja, Ahmed, et al.
Published: (2026)
by: Khwaja, Ahmed, et al.
Published: (2026)
Semiparametric Estimation of Dynamic Binary Choice Panel Data Models
by: Ouyang, Fu, et al.
Published: (2022)
by: Ouyang, Fu, et al.
Published: (2022)
Deep Learning for the Estimation of Heterogeneous Parameters in Discrete Choice Models
by: Hetzenecker, Stephan, et al.
Published: (2024)
by: Hetzenecker, Stephan, et al.
Published: (2024)
Robustness of Refugee-Matching Gains to Off-Policy Evaluation Choices
by: Bansak, Kirk, et al.
Published: (2026)
by: Bansak, Kirk, et al.
Published: (2026)
Binary Choice under Asymmetric Loss in a Data-Rich Environment: Theory and an Application to Algorithmic Fairness
by: Babii, Andrii, et al.
Published: (2020)
by: Babii, Andrii, et al.
Published: (2020)
Semiparametric Discrete Choice Models for Bundles
by: Ouyang, Fu, et al.
Published: (2023)
by: Ouyang, Fu, et al.
Published: (2023)
Semiparametric Discrete Choice Models for Bundles
by: Ouyang, Fu, et al.
Published: (2023)
by: Ouyang, Fu, et al.
Published: (2023)
Slope Consistency of Quasi-Maximum Likelihood Estimator for Binary Choice Models
by: Chang, Yoosoon, et al.
Published: (2025)
by: Chang, Yoosoon, et al.
Published: (2025)
Estimating Discrete Choice Demand Models with Sparse Market-Product Shocks
by: Lu, Zhentong, et al.
Published: (2025)
by: Lu, Zhentong, et al.
Published: (2025)
Identification and Estimation of Continuous-Time Dynamic Discrete Choice Games
by: Blevins, Jason R.
Published: (2025)
by: Blevins, Jason R.
Published: (2025)
Sensitivity Analysis for Dynamic Discrete Choice Models
by: Lau, Chun Pong
Published: (2024)
by: Lau, Chun Pong
Published: (2024)
Partial Identification of Binary Choice Models with Misreported Outcomes
by: Mondal, Orville, et al.
Published: (2024)
by: Mondal, Orville, et al.
Published: (2024)
Model-Adaptive Approach to Dynamic Discrete Choice Models with Large State Spaces
by: Chen, Ertian
Published: (2025)
by: Chen, Ertian
Published: (2025)
Identifying Dynamic Discrete Choice Models with Hyperbolic Discounting
by: Tsubota, Taiga
Published: (2021)
by: Tsubota, Taiga
Published: (2021)
Minimax and Bayes Optimal Adaptive Experimental Design for Treatment Choice
by: Kato, Masahiro
Published: (2025)
by: Kato, Masahiro
Published: (2025)
A Simple and Powerful Diagnostic Test for Binary Choice Models
by: Ji, Ting, et al.
Published: (2026)
by: Ji, Ting, et al.
Published: (2026)
Bounds on Average Effects in Discrete Choice Panel Data Models
by: Pakel, Cavit, et al.
Published: (2023)
by: Pakel, Cavit, et al.
Published: (2023)
Training Neural Networks Embedded in Dynamic Discrete Choice Models
by: Oguz, Ecenur, et al.
Published: (2026)
by: Oguz, Ecenur, et al.
Published: (2026)
Universal Inference for Incomplete Discrete Choice Models
by: Kaido, Hiroaki, et al.
Published: (2025)
by: Kaido, Hiroaki, et al.
Published: (2025)
Leveraging Uniformization and Sparsity for Estimation and Computation of Continuous Time Dynamic Discrete Choice Games
by: Blevins, Jason R.
Published: (2024)
by: Blevins, Jason R.
Published: (2024)
High Dimensional Binary Choice Model with Unknown Heteroskedasticity or Instrumental Variables
by: Ouyang, Fu, et al.
Published: (2023)
by: Ouyang, Fu, et al.
Published: (2023)
Identifying Present-Biased Discount Functions in Dynamic Discrete Choice Models
by: Abbring, Jaap H., et al.
Published: (2025)
by: Abbring, Jaap H., et al.
Published: (2025)
Revisiting Panel Data Discrete Choice Models with Lagged Dependent Variables
by: Dobronyi, Christopher R., et al.
Published: (2023)
by: Dobronyi, Christopher R., et al.
Published: (2023)
Similar Items
-
Bayesian Deep Learning for Discrete Choice
by: Villarraga, Daniel F., et al.
Published: (2025) -
Choice Models and Permutation Invariance: Demand Estimation in Differentiated Products Markets
by: Singh, Amandeep, et al.
Published: (2023) -
Amortized Inference for Correlated Discrete Choice Models via Equivariant Neural Networks
by: Huch, Easton, et al.
Published: (2026) -
Auditing and Fixing Economic Validity in Tabular Foundation Models for Discrete Choice
by: Wang, Yingshuo, et al.
Published: (2026) -
Designing Graph Convolutional Neural Networks for Discrete Choice with Network Effects
by: Villarraga, Daniel F., et al.
Published: (2025)