Teoriya Veroyatnostei i ee Primeneniya
RUS  ENG    JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PACKAGE AMSBIB  
General information
Latest issue
Archive
Impact factor
Guidelines for authors
Submit a manuscript

Search papers
Search references

RSS
Latest issue
Current issues
Archive issues
What is RSS



Teor. Veroyatnost. i Primenen.:
Year:
Volume:
Issue:
Page:
Find






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


Teoriya Veroyatnostei i ee Primeneniya, 1999, Volume 44, Issue 2, Pages 278–311
DOI: https://doi.org/10.4213/tvp764
(Mi tvp764)
 

This article is cited in 4 scientific papers (total in 4 papers)

Martingale models of stochastic approximation and their convergence

E. Valkeilaa, A. V. Melnikovb

a Department of Mathematics, University of Helsinki, Finland
b Steklov Mathematical Institute, Russian Academy of Sciences
Abstract: Procedures of stochastic approximation are studied from a general theory of stochastic processes point of view. The results on convergence are obtained by the uniform methods both in the case of discrete and of continuous time. The asymptotic analysis (a.s. convergence, asymptotic normality) of procedures is based on the Lyapunov stochastic method, and a study of the rate of convergence of algorithms of stochastic approximation is based on the law of iterated logarithm for martingales.
Keywords: stochastic approximation, martingale methods, stochastic exponents, stochastic Lyapunov method.
Received: 17.07.1997
Revised: 11.11.1998
English version:
Theory of Probability and its Applications, 2000, Volume 44, Issue 2, Pages 333–360
DOI: https://doi.org/10.1137/S0040585X97977549
Bibliographic databases:
Language: Russian
Citation: E. Valkeila, A. V. Melnikov, “Martingale models of stochastic approximation and their convergence”, Teor. Veroyatnost. i Primenen., 44:2 (1999), 278–311; Theory Probab. Appl., 44:2 (2000), 333–360
Citation in format AMSBIB
\Bibitem{ValMel99}
\by E.~Valkeila, A.~V.~Melnikov
\paper Martingale models of stochastic approximation and their convergence
\jour Teor. Veroyatnost. i Primenen.
\yr 1999
\vol 44
\issue 2
\pages 278--311
\mathnet{http://mi.mathnet.ru/tvp764}
\crossref{https://doi.org/10.4213/tvp764}
\mathscinet{http://mathscinet.ams.org/mathscinet-getitem?mr=1751474}
\zmath{https://zbmath.org/?q=an:0974.62063}
\transl
\jour Theory Probab. Appl.
\yr 2000
\vol 44
\issue 2
\pages 333--360
\crossref{https://doi.org/10.1137/S0040585X97977549}
\isi{https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=Publons&SrcAuth=Publons_CEL&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=000089405200008}
Linking options:
  • https://www.mathnet.ru/eng/tvp764
  • https://doi.org/10.4213/tvp764
  • https://www.mathnet.ru/eng/tvp/v44/i2/p278
  • This publication is cited in the following 4 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Теория вероятностей и ее применения Theory of Probability and its Applications
    Statistics & downloads:
    Abstract page:397
    Full-text PDF :180
    First page:33
     
      Contact us:
     Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2024