Economics

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LLM Collusion

본 논문은 알고리즘 기반 가격 결정 체계에서 대형 언어 모델(LLM)이 불법적인 담합을 유발할 수 있는 잠재적 위험에 대해 깊이 있게 분석하고 있습니다. 이 연구는 LLM의 공유된 지식 인프라와 데이터 집적 정책이 어떻게 시장 수준에서 조율되지 않은 협력을 가능하게 하는지, 그리고 이러한 메커니즘은 어떻게 실제 비즈니스 환경에서 위험성을 높이는지를 설명하고 있습니다. 기술적 혁신성 본 논문의 주요 기술적 혁신성은 LLM이 가격 책정에 활용될 때 발생할 수 있는 콜루션 위험을 이론적으로 분석하는 것입니다. 특히, 본 연구는 LLM이

January 03, 2026

Economics

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Super-Nash Performance

The paper introduces a new solution concept called 'optimin' in game theory, aiming to maximize the minimum payoff for players under unilateral profitable deviations by others. Optimin extends the conventional Nash equilibrium and is particularly important in cooperative games where players need to

October 23, 2025

Economics

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Dependence-Robust Inference Using Resampled Statistics

This paper addresses the challenge of making robust inferences in scenarios where data may exhibit complex or unknown weak dependencies. The authors propose a method that utilizes resampled statistics to construct test procedures without relying on the specific correlation structure of the data. The

August 26, 2021

Statistics Economics

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Recovering Latent Variables by Matching

This paper introduces an optimal transport based matching method to nonparametrically estimate linear models with independent latent variables. The core idea is to generate pseudo observations from the latent variables so that the Euclidean distance between the model's predictions and their matched

January 01, 2020

Economics

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Beating the House: Identifying Inefficiencies in Sports Betting Markets

The paper 'Beating the House: Identifying Inefficiencies in Sports Betting Markets' delves into a critical area of financial and sports analytics. The core idea is to develop an algorithm that can consistently generate above market returns by identifying inefficiencies within various sports betting

October 24, 2019

Statistics Economics Applications Quantitative Finance

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Open shop scheduling games

This paper explores a game theoretical approach to optimize the scheduling of operations in an open shop setting with unit execution times. The goal is to minimize the sum of completion times, making it particularly relevant for industries that require efficient task management and coordination amon

July 31, 2019

Economics Computer Science Game Theory

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LLM Collusion

Super-Nash Performance

Dependence-Robust Inference Using Resampled Statistics

Recovering Latent Variables by Matching

Beating the House: Identifying Inefficiencies in Sports Betting Markets

Open shop scheduling games

< Category Statistics (Total: 743) >

Table of Contents

Table of Contents

LLM Collusion

Super-Nash Performance

Dependence-Robust Inference Using Resampled Statistics

Recovering Latent Variables by Matching

Beating the House: Identifying Inefficiencies in Sports Betting Markets

Open shop scheduling games

< Category Statistics (Total: 743) >

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