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Economics, Econometrics and Finance
Economics, Econometrics and Finance 논문 리뷰
Economics, Econometrics and Finance 분야 주요 연구 논문을 연구 동기·방법·결과로 구조화한 AI 논문 리뷰 목록입니다.
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필터
4,392개의 결과
Conditional central limit theorem via martingale approximation
Magda Peligrad
arXiv (Cornell University)
|
2010
|
8 회 인용
Conditional-sum-of-squares estimation of models for stationary time series with long memory
Peter M. Robinson
London School of Economics and Political Science Research Online (London School of Economics and Political Science)
|
2007
|
8 회 인용
Consistency of least squares estimation to the parameter for stochastic differential equations under distribution uncertainty
Chen Fei, Weiyin Fei
arXiv (Cornell University)
|
2019
|
8 회 인용
Convergence of Tâtonnement in Fisher Markets
Noa Avigdor-Elgrabli, Yuval Rabani 외 1명
arXiv (Cornell University)
|
2014
|
8 회 인용
Deep Learning-Based BSDE Solver for Libor Market Model with Application to Bermudan Swaption Pricing and Hedging
Haojie Wang, Han Chen 외 3명
arXiv (Cornell University)
|
2018
|
8 회 인용
Deep learning, deep change? Mapping the development of the Artificial Intelligence General Purpose Technology
J. A. Klinger, Juan Mateos-García 외 1명
arXiv (Cornell University)
|
2018
|
8 회 인용
Deep Learning for Mean Field Games and Mean Field Control with Applications to Finance
René Carmona, Mathieu Laurière
arXiv (Cornell University)
|
2021
|
8 회 인용
Deep Learning in (and of) Agent-Based Models: A Prospectus
Sander van der Hoog
arXiv (Cornell University)
|
2017
|
8 회 인용
Deep Neural Networks for Choice Analysis: A Statistical Learning Theory Perspective
Shenhao Wang, Qingyi Wang 외 2명
arXiv (Cornell University)
|
2018
|
8 회 인용
Deep Reinforcement Learning for Long-Short Portfolio Optimization
Gang Huang, Xiaohua Zhou 외 1명
arXiv (Cornell University)
|
2020
|
8 회 인용
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