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person:"Chiarella, Carl"
~person:"Yamada, Toshihiro"
~subject:"Black-Scholes-Modell"
~subject:"Neuronale Netze"
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Chiarella, Carl
Yamada, Toshihiro
Kohlmann, Michael
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Asymptotic expansion and deep neural networks overcome the curse of dimensionality in the numerical approximation of Kolmogorov partial differential equations with nonlinear coeffi...
Takahashi, Akihiko
;
Yamada, Toshihiro
-
2021
Persistent link: https://www.econbiz.de/10013336341
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2
Asymptotic expansion and deep neural networks overcome the curse of dimensionality in the numerical approximation of Kolmogorov partial differential equations with nonlinear coeffi...
Takahashi, Akihiko
;
Yamada, Toshihiro
-
2022
Persistent link: https://www.econbiz.de/10014266218
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3
A second-order discretization with Malliavin weight and Quasi-Monte Carlo method for option pricing
Yamada, Toshihiro
;
Yamamoto, Kenta
- In:
Quantitative finance
20
(
2020
)
11
,
pp. 1825-1837
Persistent link: https://www.econbiz.de/10012313518
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4
An asymptotic expansion for forward-backward SDEs : a malliavin calculus approach
Takahashi, Akihiko
;
Yamada, Toshihiro
- In:
Asia-Pacific financial markets
23
(
2016
)
4
,
pp. 337-373
Persistent link: https://www.econbiz.de/10011619975
Saved in:
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