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New asymptotic expansion formula via Malliavin calculus and its application to rough differential equation driven by fractional Brownian motion
Takahashi, Akihiko; Yamada, Toshihiro - 2023 - This version: July 3, 2023
Persistent link: https://www.econbiz.de/10014383870
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Deep Asymptotic Expansion : Application to Financial Mathematics
Iguchi, Yuga; Naito, Riu; Takahashi, Akihiko; Yamada, … - 2021 - Revised in February 2022
Persistent link: https://www.econbiz.de/10013339086
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Deep asymptotic expansion with weak approximation
Iguchi, Yuga; Naito, Riu; Okano, Yusuke; Yamada, Toshihiro - 2021 - Revised in August 2021
Persistent link: https://www.econbiz.de/10013336343
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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/10014289121
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Portfolio optimization with choice of a probability measure
Saito, Taiga; Takahashi, Akihiko - 2020 - Revised in December 2021 and March 2022
Persistent link: https://www.econbiz.de/10013336334
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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 - Revised in August, November 2021, January and February 2022
Persistent link: https://www.econbiz.de/10013335002