Saved in:
| Main Authors: | Szybowski, Jacek, Kułakowski, Konrad, Mazurek, Jiri |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2605.08991 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Mean-based incomplete pairwise comparisons method with the reference values
by: Kułakowski, Konrad, et al.
Published: (2022)
by: Kułakowski, Konrad, et al.
Published: (2022)
Establishing a leader in a pairwise comparisons method
by: Szybowski, Jacek, et al.
Published: (2024)
by: Szybowski, Jacek, et al.
Published: (2024)
My part is bigger than yours -- assessment within a group of peers
by: Kułakowski, Konrad, et al.
Published: (2024)
by: Kułakowski, Konrad, et al.
Published: (2024)
Almost optimal manipulation of a pair of alternatives
by: Szybowski, Jacek, et al.
Published: (2023)
by: Szybowski, Jacek, et al.
Published: (2023)
Detection of decision-making manipulation in the pairwise comparisons method
by: Strada, Michał, et al.
Published: (2024)
by: Strada, Michał, et al.
Published: (2024)
Estimating Visual Attribute Effects in Advertising from Observational Data: A Deepfake-Informed Double Machine Learning Approach
by: Liu, Yizhi, et al.
Published: (2026)
by: Liu, Yizhi, et al.
Published: (2026)
LLM Personas as a Substitute for Field Experiments in Method Benchmarking
by: Kang, Enoch Hyunwook
Published: (2025)
by: Kang, Enoch Hyunwook
Published: (2025)
Unveiling the Potential of Robustness in Selecting Conditional Average Treatment Effect Estimators
by: Huang, Yiyan, et al.
Published: (2024)
by: Huang, Yiyan, et al.
Published: (2024)
From Model Choice to Model Belief: Establishing a New Measure for LLM-Based Research
by: Sun, Hongshen, et al.
Published: (2025)
by: Sun, Hongshen, et al.
Published: (2025)
Structural Estimation of Markov Decision Processes in High-Dimensional State Space with Finite-Time Guarantees
by: Zeng, Siliang, et al.
Published: (2022)
by: Zeng, Siliang, et al.
Published: (2022)
AI Assisted Economics Measurement From Survey: Evidence from Public Employee Pension Choice
by: Wang, Tiancheng, et al.
Published: (2026)
by: Wang, Tiancheng, et al.
Published: (2026)
Certificates without Electrons? Theory and Evidence on Impacts from AI-Driven Power Demand
by: Golden, Dana, et al.
Published: (2026)
by: Golden, Dana, et al.
Published: (2026)
Can large language models assist choice modelling? Insights into prompting strategies and current models capabilities
by: Sfeir, Georges, et al.
Published: (2025)
by: Sfeir, Georges, et al.
Published: (2025)
Forecasting Labor Demand: Predicting JOLT Job Openings using Deep Learning Model
by: Kim, Kyungsu
Published: (2025)
by: Kim, Kyungsu
Published: (2025)
A Deep Learning Representation of Spatial Interaction Model for Resilient Spatial Planning of Community Business Clusters
by: Hao, Haiyan, et al.
Published: (2024)
by: Hao, Haiyan, et al.
Published: (2024)
Neural Network Modeling for Forecasting Tourism Demand in Stopića Cave: A Serbian Cave Tourism Study
by: Bajić, Buda, et al.
Published: (2024)
by: Bajić, Buda, et al.
Published: (2024)
Large Language Models: An Applied Econometric Framework
by: Ludwig, Jens, et al.
Published: (2024)
by: Ludwig, Jens, et al.
Published: (2024)
Can AI Master Econometrics? Evidence from Econometrics AI Agent on Expert-Level Tasks
by: Chen, Qiang, et al.
Published: (2025)
by: Chen, Qiang, et al.
Published: (2025)
Evaluating the Accuracy of Chatbots in Financial Literature
by: Erdem, Orhan, et al.
Published: (2024)
by: Erdem, Orhan, et al.
Published: (2024)
Scaling Causal Mediation for Complex Systems: A Framework for Root Cause Analysis
by: Casadei, Alessandro, et al.
Published: (2025)
by: Casadei, Alessandro, et al.
Published: (2025)
A primer on optimal transport for causal inference with observational data
by: Gunsilius, Florian F
Published: (2025)
by: Gunsilius, Florian F
Published: (2025)
Semiparametric Preference Optimization: Your Language Model is Secretly a Single-Index Model
by: Kallus, Nathan
Published: (2025)
by: Kallus, Nathan
Published: (2025)
Reinforcement Learning for Monetary Policy Under Macroeconomic Uncertainty: Analyzing Tabular and Function Approximation Methods
by: Wang, Tony, et al.
Published: (2025)
by: Wang, Tony, et al.
Published: (2025)
Transfer Estimates for Causal Effects across Heterogeneous Sites
by: Menzel, Konrad
Published: (2023)
by: Menzel, Konrad
Published: (2023)
DeXposure-FM: A Time-series, Graph Foundation Model for Credit Exposures and Stability on Decentralized Financial Networks
by: Shu, Aijie, et al.
Published: (2026)
by: Shu, Aijie, et al.
Published: (2026)
Causal EpiNets: Precision-corrected Bounds on Individual Treatment Effects using Epistemic Neural Networks
by: Patil, Gandharv, et al.
Published: (2026)
by: Patil, Gandharv, 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)
How Well Do LLMs Predict Human Behavior? A Measure of their Pretrained Knowledge
by: Gao, Wayne, et al.
Published: (2026)
by: Gao, Wayne, et al.
Published: (2026)
Multi-Agent Influence Diagrams to Hybrid Threat Modeling
by: Vonk, Maarten C., et al.
Published: (2026)
by: Vonk, Maarten C., et al.
Published: (2026)
Foundation Priors
by: Misra, Sanjog
Published: (2025)
by: Misra, Sanjog
Published: (2025)
Simulation-Based Benchmarking of Reinforcement Learning Agents for Personalized Retail Promotions
by: Xia, Yu, et al.
Published: (2024)
by: Xia, Yu, et al.
Published: (2024)
Management Decisions in Manufacturing using Causal Machine Learning -- To Rework, or not to Rework?
by: Schwarz, Philipp, et al.
Published: (2024)
by: Schwarz, Philipp, et al.
Published: (2024)
Deep Learning Enhanced Multivariate GARCH
by: Wang, Haoyuan, et al.
Published: (2025)
by: Wang, Haoyuan, et al.
Published: (2025)
GDP nowcasting with artificial neural networks: How much does long-term memory matter?
by: Németh, Kristóf, et al.
Published: (2023)
by: Németh, Kristóf, et al.
Published: (2023)
Global Neural Networks and The Data Scaling Effect in Financial Time Series Forecasting
by: Liu, Chen, et al.
Published: (2023)
by: Liu, Chen, et al.
Published: (2023)
Optimal Text-Based Time-Series Indices
by: Ardia, David, et al.
Published: (2024)
by: Ardia, David, et al.
Published: (2024)
Generating density nowcasts for U.S. GDP growth with deep learning: Bayes by Backprop and Monte Carlo dropout
by: Németh, Kristóf, et al.
Published: (2024)
by: Németh, Kristóf, et al.
Published: (2024)
A Hybrid Framework for Reinsurance Optimization: Integrating Generative Models and Reinforcement Learning
by: Dong, Stella C.
Published: (2025)
by: Dong, Stella C.
Published: (2025)
LLM-Generated Counterfactual Stress Scenarios for Portfolio Risk Simulation via Hybrid Prompt-RAG Pipeline
by: Soleimani, Masoud
Published: (2025)
by: Soleimani, Masoud
Published: (2025)
A Network Simulation of OTC Markets with Multiple Agents
by: Wilkinson, James T., et al.
Published: (2024)
by: Wilkinson, James T., et al.
Published: (2024)
Similar Items
-
Mean-based incomplete pairwise comparisons method with the reference values
by: Kułakowski, Konrad, et al.
Published: (2022) -
Establishing a leader in a pairwise comparisons method
by: Szybowski, Jacek, et al.
Published: (2024) -
My part is bigger than yours -- assessment within a group of peers
by: Kułakowski, Konrad, et al.
Published: (2024) -
Almost optimal manipulation of a pair of alternatives
by: Szybowski, Jacek, et al.
Published: (2023) -
Detection of decision-making manipulation in the pairwise comparisons method
by: Strada, Michał, et al.
Published: (2024)