Asymptotic expansion and weak approximation : applications of Malliavin calculus and deep learning

著者

• 高橋, 明彦 タカハシ, アキヒコ
• Yamada, Toshihiro

書誌事項

Asymptotic expansion and weak approximation : applications of Malliavin calculus and deep learning

Akihiko Takahashi, Toshihiro Yamada

（Springer Briefs in statistics, . JSS research series in statistics / editors-in-chief, Naoto Kunitomo, Akimichi Takemura）

Springer, [2025] , , c2025

• : [pbk]

注記

Content Type: text (ncrcontent), Media Type: unmediated (ncrmedia), Carrier Type: volume (ncrcarrier)

• NII書誌ID(NCID): BD13857239
• ISBN:
  • 9789819682799
• 出版国コード: si
• タイトル言語コード: eng
• 本文言語コード: eng
• 出版地: Singapore
• ページ数/冊数: xii, 97 pages
• 大きさ: 24 cm
• 分類:
  • DC23 : 519.23
• 件名:
  • LCSH : Malliavin calculus
  • LCSH : Asymptotic expansions
  • LCSH : Approximation theory
  • LCSH : Stochastic differential equations
  • FREE : Malliavin calculus fast
• 親書誌ID:
  • BB07235149