Guardado en:
| Autores principales: | Wang, Tiancheng, Sharma, Krishna |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2602.02604 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
From Model Choice to Model Belief: Establishing a New Measure for LLM-Based Research
por: Sun, Hongshen, et al.
Publicado: (2025)
por: Sun, Hongshen, et al.
Publicado: (2025)
Auditing and Fixing Economic Validity in Tabular Foundation Models for Discrete Choice
por: Wang, Yingshuo, et al.
Publicado: (2026)
por: Wang, Yingshuo, et al.
Publicado: (2026)
Can AI Master Econometrics? Evidence from Econometrics AI Agent on Expert-Level Tasks
por: Chen, Qiang, et al.
Publicado: (2025)
por: Chen, Qiang, et al.
Publicado: (2025)
Certificates without Electrons? Theory and Evidence on Impacts from AI-Driven Power Demand
por: Golden, Dana, et al.
Publicado: (2026)
por: Golden, Dana, et al.
Publicado: (2026)
An Empirical Risk Minimization Approach for Offline Inverse RL and Dynamic Discrete Choice Model
por: Kang, Enoch H., et al.
Publicado: (2025)
por: Kang, Enoch H., et al.
Publicado: (2025)
From What Ifs to Insights: Counterfactuals in Causal Inference vs. Explainable AI
por: Shmueli, Galit, et al.
Publicado: (2025)
por: Shmueli, Galit, et al.
Publicado: (2025)
The Economics of AI Supply Chain Regulation
por: Qian, Sihan, et al.
Publicado: (2026)
por: Qian, Sihan, et al.
Publicado: (2026)
A Deep Learning Representation of Spatial Interaction Model for Resilient Spatial Planning of Community Business Clusters
por: Hao, Haiyan, et al.
Publicado: (2024)
por: Hao, Haiyan, et al.
Publicado: (2024)
How Well Do LLMs Predict Human Behavior? A Measure of their Pretrained Knowledge
por: Gao, Wayne, et al.
Publicado: (2026)
por: Gao, Wayne, et al.
Publicado: (2026)
Estimating Visual Attribute Effects in Advertising from Observational Data: A Deepfake-Informed Double Machine Learning Approach
por: Liu, Yizhi, et al.
Publicado: (2026)
por: Liu, Yizhi, et al.
Publicado: (2026)
Econometric vs. Causal Structure-Learning for Time-Series Policy Decisions: Evidence from the UK COVID-19 Policies
por: Petrungaro, Bruno, et al.
Publicado: (2026)
por: Petrungaro, Bruno, et al.
Publicado: (2026)
Sufficient conditions for a Heuristic Rating Estimation Method application
por: Szybowski, Jacek, et al.
Publicado: (2026)
por: Szybowski, Jacek, et al.
Publicado: (2026)
Can large language models assist choice modelling? Insights into prompting strategies and current models capabilities
por: Sfeir, Georges, et al.
Publicado: (2025)
por: Sfeir, Georges, et al.
Publicado: (2025)
Forecasting Labor Demand: Predicting JOLT Job Openings using Deep Learning Model
por: Kim, Kyungsu
Publicado: (2025)
por: Kim, Kyungsu
Publicado: (2025)
Neural Network Modeling for Forecasting Tourism Demand in Stopića Cave: A Serbian Cave Tourism Study
por: Bajić, Buda, et al.
Publicado: (2024)
por: Bajić, Buda, et al.
Publicado: (2024)
Large Language Models: An Applied Econometric Framework
por: Ludwig, Jens, et al.
Publicado: (2024)
por: Ludwig, Jens, et al.
Publicado: (2024)
Evaluating the Accuracy of Chatbots in Financial Literature
por: Erdem, Orhan, et al.
Publicado: (2024)
por: Erdem, Orhan, et al.
Publicado: (2024)
Selective Reviews of Bandit Problems in AI via a Statistical View
por: Zhou, Pengjie, et al.
Publicado: (2024)
por: Zhou, Pengjie, et al.
Publicado: (2024)
Deep Learning Enhanced Multivariate GARCH
por: Wang, Haoyuan, et al.
Publicado: (2025)
por: Wang, Haoyuan, et al.
Publicado: (2025)
Scaling Causal Mediation for Complex Systems: A Framework for Root Cause Analysis
por: Casadei, Alessandro, et al.
Publicado: (2025)
por: Casadei, Alessandro, et al.
Publicado: (2025)
A primer on optimal transport for causal inference with observational data
por: Gunsilius, Florian F
Publicado: (2025)
por: Gunsilius, Florian F
Publicado: (2025)
Non-linear Phillips Curve for India: Evidence from Explainable Machine Learning
por: Sengupta, Shovon, et al.
Publicado: (2025)
por: Sengupta, Shovon, et al.
Publicado: (2025)
Global Neural Networks and The Data Scaling Effect in Financial Time Series Forecasting
por: Liu, Chen, et al.
Publicado: (2023)
por: Liu, Chen, et al.
Publicado: (2023)
Unveiling the Potential of Robustness in Selecting Conditional Average Treatment Effect Estimators
por: Huang, Yiyan, et al.
Publicado: (2024)
por: Huang, Yiyan, et al.
Publicado: (2024)
Evidence Aggregation for Treatment Choice
por: Ishihara, Takuya, et al.
Publicado: (2021)
por: Ishihara, Takuya, et al.
Publicado: (2021)
DeXposure-FM: A Time-series, Graph Foundation Model for Credit Exposures and Stability on Decentralized Financial Networks
por: Shu, Aijie, et al.
Publicado: (2026)
por: Shu, Aijie, et al.
Publicado: (2026)
Causal EpiNets: Precision-corrected Bounds on Individual Treatment Effects using Epistemic Neural Networks
por: Patil, Gandharv, et al.
Publicado: (2026)
por: Patil, Gandharv, et al.
Publicado: (2026)
Multi-Agent Influence Diagrams to Hybrid Threat Modeling
por: Vonk, Maarten C., et al.
Publicado: (2026)
por: Vonk, Maarten C., et al.
Publicado: (2026)
LLM Personas as a Substitute for Field Experiments in Method Benchmarking
por: Kang, Enoch Hyunwook
Publicado: (2025)
por: Kang, Enoch Hyunwook
Publicado: (2025)
Foundation Priors
por: Misra, Sanjog
Publicado: (2025)
por: Misra, Sanjog
Publicado: (2025)
Simulation-Based Benchmarking of Reinforcement Learning Agents for Personalized Retail Promotions
por: Xia, Yu, et al.
Publicado: (2024)
por: Xia, Yu, et al.
Publicado: (2024)
Management Decisions in Manufacturing using Causal Machine Learning -- To Rework, or not to Rework?
por: Schwarz, Philipp, et al.
Publicado: (2024)
por: Schwarz, Philipp, et al.
Publicado: (2024)
Semiparametric Preference Optimization: Your Language Model is Secretly a Single-Index Model
por: Kallus, Nathan
Publicado: (2025)
por: Kallus, Nathan
Publicado: (2025)
GDP nowcasting with artificial neural networks: How much does long-term memory matter?
por: Németh, Kristóf, et al.
Publicado: (2023)
por: Németh, Kristóf, et al.
Publicado: (2023)
Optimal Text-Based Time-Series Indices
por: Ardia, David, et al.
Publicado: (2024)
por: Ardia, David, et al.
Publicado: (2024)
Generating density nowcasts for U.S. GDP growth with deep learning: Bayes by Backprop and Monte Carlo dropout
por: Németh, Kristóf, et al.
Publicado: (2024)
por: Németh, Kristóf, et al.
Publicado: (2024)
A Hybrid Framework for Reinsurance Optimization: Integrating Generative Models and Reinforcement Learning
por: Dong, Stella C.
Publicado: (2025)
por: Dong, Stella C.
Publicado: (2025)
LLM-Generated Counterfactual Stress Scenarios for Portfolio Risk Simulation via Hybrid Prompt-RAG Pipeline
por: Soleimani, Masoud
Publicado: (2025)
por: Soleimani, Masoud
Publicado: (2025)
A Network Simulation of OTC Markets with Multiple Agents
por: Wilkinson, James T., et al.
Publicado: (2024)
por: Wilkinson, James T., et al.
Publicado: (2024)
Structural Estimation of Markov Decision Processes in High-Dimensional State Space with Finite-Time Guarantees
por: Zeng, Siliang, et al.
Publicado: (2022)
por: Zeng, Siliang, et al.
Publicado: (2022)
Ejemplares similares
-
From Model Choice to Model Belief: Establishing a New Measure for LLM-Based Research
por: Sun, Hongshen, et al.
Publicado: (2025) -
Auditing and Fixing Economic Validity in Tabular Foundation Models for Discrete Choice
por: Wang, Yingshuo, et al.
Publicado: (2026) -
Can AI Master Econometrics? Evidence from Econometrics AI Agent on Expert-Level Tasks
por: Chen, Qiang, et al.
Publicado: (2025) -
Certificates without Electrons? Theory and Evidence on Impacts from AI-Driven Power Demand
por: Golden, Dana, et al.
Publicado: (2026) -
An Empirical Risk Minimization Approach for Offline Inverse RL and Dynamic Discrete Choice Model
por: Kang, Enoch H., et al.
Publicado: (2025)