Asymptotic Expansion and Weak Approximation Applications of Malliavin Calculus and Deep Learning /
This book provides a self-contained lecture on a Malliavin calculus approach to asymptotic expansion and weak approximation of stochastic differential equations (SDEs), along with numerical methods for computing parabolic partial differential equations (PDEs). Constructions of weak approximation and...
Guardado en:
| Autores principales: | Takahashi, Akihiko (Autor), Yamada, Toshihiro (Autor) |
|---|---|
| Autor Corporativo: | SpringerLink (Online service) |
| Formato: | Electrónico eBook |
| Lenguaje: | inglés |
| Publicado: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2025.
|
| Edición: | 1st ed. 2025. |
| Colección: | JSS Research Series in Statistics,
|
| Materias: | |
| Acceso en línea: | https://doi.org/10.1007/978-981-96-8280-5 |
| Etiquetas: |
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