Trudy SPIIRAN
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



Informatics and Automation:
Year:
Volume:
Issue:
Page:
Find






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


Trudy SPIIRAN, 2009, Issue 9, Pages 262–279 (Mi trspy30)  

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

Randomized trajectories method in problems of functional dependence estimation

N. V. Hovanov

Saint-Petersburg State University
Abstract: A randomized trajectories (functions) method is developed, this method being based on the Bayesian uncertainty randomization model. A stochastic process with equally probable discrete monotonic trajectories is constructed — the process trend is a required estimation of the functional dependence between parameters under investigation. The problem of nonnumeric expert information using for exactness and reliability increasing is discussing.
Keywords: bayesian randomization of uncertainty, randomized trajectories (functions) method, nonnumeric expert information, stochastic process with equally probable discrete monotonic trajectories.
UDC: 519.27
Language: Russian
Citation: N. V. Hovanov, “Randomized trajectories method in problems of functional dependence estimation”, Tr. SPIIRAN, 9 (2009), 262–279
Citation in format AMSBIB
\Bibitem{Kho09}
\by N.~V.~Hovanov
\paper Randomized trajectories method in problems of functional dependence estimation
\jour Tr. SPIIRAN
\yr 2009
\vol 9
\pages 262--279
\mathnet{http://mi.mathnet.ru/trspy30}
Linking options:
  • https://www.mathnet.ru/eng/trspy30
  • https://www.mathnet.ru/eng/trspy/v9/p262
  • 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
    Informatics and Automation
    Statistics & downloads:
    Abstract page:283
    Full-text PDF :112
    References:1
    First page:1
     
      Contact us:
     Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2024