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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
A general maximum principle for mean-field stochastic differential equations with jump processes
Mokhtar Hafayed, Syed Abbas
arXiv (Cornell University)
|
2013
|
10 회 인용
A GMM approach to estimate the roughness of stochastic volatility
Anine E. Bolko, Kim Christensen 외 2명
arXiv (Cornell University)
|
2020
|
10 회 인용
A horse racing between the block maxima method and the peak-over-threshold approach
Axel Bücher, Chen Zhou
arXiv (Cornell University)
|
2018
|
10 회 인용
A multilevel Monte Carlo method for a class of McKean-Vlasov processes
Lee Ricketson
arXiv (Cornell University)
|
2015
|
10 회 인용
A probabilistic approach to large time behaviour of mild solutions of Hamilton-Jacobi-Bellman equations in infinite dimension
Ying Hu, Pierre-Yves Madec 외 1명
arXiv (Cornell University)
|
2014
|
10 회 인용
A (rough) pathwise approach to a class of non-linear stochastic partial differential equations
Michael Caruana, Peter K. Friz 외 1명
arXiv (Cornell University)
|
2009
|
10 회 인용
A step-by-step guide to design, implement, and analyze a discrete choice experiment
Daniel Pérez-Troncoso
arXiv (Cornell University)
|
2020
|
10 회 인용
A time-fractional mean field game
Fabio Camilli, Raul De Maio
arXiv (Cornell University)
|
2017
|
10 회 인용
A unified formulation of Gaussian vs. sparse stochastic processes - Part II: Discrete-domain theory
Michaël Unser, Pouya D. Tafti 외 2명
arXiv (Cornell University)
|
2011
|
10 회 인용
Adaptive Robust Large Volatility Matrix Estimation Based on High-Frequency Financial Data
Minseok Shin, Donggyu Kim 외 1명
arXiv (Cornell University)
|
2021
|
10 회 인용
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