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On error estimates for asymptotic expansions with Malliavin weights : application to stochastic volatility model
Takahashi, Akihiko; Yamada, Toshihiro - In: Mathematics of operations research 40 (2015) 3, pp. 513-541
Persistent link: https://www.econbiz.de/10011338705
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A new efficient approximation scheme for solving high-dimensional semilinear PDEs : control variate method for Deep BSDE solver
Takahashi, Akihiko; Tsuchida, Yoshifumi; Yamada, Toshihiro - 2021 - This version : August 10, 2021
Persistent link: https://www.econbiz.de/10012616192
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Supplementary file for "Sup-inf/inf-sup problem on choice of a probability measure by FBSDE approach"
Saito, Taiga; Takahashi, Akihiko - 2021
Persistent link: https://www.econbiz.de/10012616241
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A new efficient approximation scheme for solving high-dimensional semilinear PDEs : control variate method for Deep BSDE solver
Takahashi, Akihiko; Tsuchida, Yoshifumi; Yamada, Toshihiro - 2021
Persistent link: https://www.econbiz.de/10012813680
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Pricing average and spread options under local-stochastic volatility jump-diffusion models
Shiraya, Kenichiro; Takahashi, Akihiko - In: Mathematics of operations research 44 (2019) 1, pp. 303-333
Persistent link: https://www.econbiz.de/10012001122
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Multi-agent robust optimal investment problem in incomplete market
Kizaki, Keisuke; Saito, Taiga; Takahashi, Akihiko - 2023
Persistent link: https://www.econbiz.de/10014438131
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Solving Kolmogorov PDEs without the curse of dimensionality via deep learning and asymptotic expansion with Malliavin calculus
Takahashi, Akihiko; Yamada, Toshihiro - 2023 - This version : May 9, 2023
Persistent link: https://www.econbiz.de/10014266288