Theory of Stochastic Processes
RUS  ENG    JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PACKAGE AMSBIB  
General information
Latest issue
Archive

Search papers
Search references

RSS
Latest issue
Current issues
Archive issues
What is RSS



Theory Stoch. Process.:
Year:
Volume:
Issue:
Page:
Find






Personal entry:
Login:
Password:
Save password
Enter
Forgotten password?
Register


Theory of Stochastic Processes, 2010, Volume 16(32), Issue 1, Pages 17–28 (Mi thsp56)  

An extension of the Itô integral: Toward a general theory of stochastic integration

Wided Ayeda, Hui-Hsiung Kuob

a Department of Mathematics, Institut Préparatoire aux Etudes d'Ingénieurs, El Merezka, Nabeul, 8058, Tunisia
b Department of Mathematics, Louisiana State University, Baton Rouge, LA 70803, USA
References:
Abstract: We introduce the class of instantly independent stochastic processes, which serves as the counterpart of the Itô theory of stochastic integration. This class provides a new approach to anticipating stochastic integration. The evaluation points for an adapted stochastic process and an instantly independent stochastic process are taken to be the left endpoint and the right endpoint, respectively. We present some new results on Itô's formula and stochastic differential equations.
Keywords: Brownian motion, filtration, adapted stochastic process, Itô integral, Hitsuda-Skorokhod integral, anticipating, instantly independent stochastic processes, evaluation points, stochastic integral, Itô's formula, stochastic differential equations.
Bibliographic databases:
Document Type: Article
MSC: Primary 60H05, 60H20; Secondary 60H40
Language: English
Citation: Wided Ayed, Hui-Hsiung Kuo, “An extension of the Itô integral: Toward a general theory of stochastic integration”, Theory Stoch. Process., 16(32):1 (2010), 17–28
Citation in format AMSBIB
\Bibitem{AyeKuo10}
\by Wided Ayed, Hui-Hsiung Kuo
\paper An extension of the It\^o integral: Toward a general theory of stochastic integration
\jour Theory Stoch. Process.
\yr 2010
\vol 16(32)
\issue 1
\pages 17--28
\mathnet{http://mi.mathnet.ru/thsp56}
\mathscinet{http://mathscinet.ams.org/mathscinet-getitem?mr=2779844}
\zmath{https://zbmath.org/?q=an:1224.60122}
Linking options:
  • https://www.mathnet.ru/eng/thsp56
  • https://www.mathnet.ru/eng/thsp/v16/i1/p17
  • Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Theory of Stochastic Processes
    Statistics & downloads:
    Abstract page:343
    Full-text PDF :157
    References:32
     
      Contact us:
     Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2024