• Search Research Projects
  • Search Researchers
  • How to Use
  1. Back to previous page

Theory of Statistical Inference for Stochastic Processes and its Application to Mathematical Finance

Research Project

Project/Area Number 15500192
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeSingle-year Grants
Section一般
Research Field Statistical science
Research InstitutionHiroshima International University

Principal Investigator

SAKAMOTO Yuji  Hiroshima International Univ., Faculty of Human and Social Environment, Associate Prof., 人間環境学部, 助教授 (70215664)

Project Period (FY) 2003 – 2005
Project Status Completed (Fiscal Year 2005)
Budget Amount *help
¥3,400,000 (Direct Cost: ¥3,400,000)
Fiscal Year 2005: ¥1,000,000 (Direct Cost: ¥1,000,000)
Fiscal Year 2004: ¥800,000 (Direct Cost: ¥800,000)
Fiscal Year 2003: ¥1,600,000 (Direct Cost: ¥1,600,000)
KeywordsDiffusion Process / Asymptotic Expansion / Markovian Process / M-estimator / degeneracy / Shrinkage Estimator / Discriminant Analysis / 拡散過程 / ウィナー汎関数 / マリアバン解析 / 展開公式 / マルコフ過程
Research Abstract

(1)In the case where degenerate components are involved with a random variable of interest, we proved the validity of its distributional asymptotic expansion, and applied the result to the third order asymptotic expansion of the maximum likelihood estimator for the Ornstein-Uhlenbeck process.
(2)As for the prediction problem, by using expansion formula for the generalized Wiener functional, we showed the Stein phenomenon, i.e., the prediction region centered at a shrinkage type estimator is better than that centered at a usual sample mean.
(3)For functionals of Markovian process with a mixing property, we derived general and explicit formulas of distributional asymptotic expansion with a error bound, and used them to obtain a third order asymptotic expansion of the M-estimator for a general statistical model. As a typical application, we present third order asymptotic expansions of M or minimum contrast estimators for diffusion processes.
(4)In order to approximate closely to the probabilities of mis-discrimination, we calculated asymptotic expansions for Bayes, plug-in, likelihood ratio type discrimination rules, and studied their numerical accuracies by Monte-Carlo experiments to show that our results gives very close approximations.

Report

(4 results)
  • 2005 Annual Research Report   Final Research Report Summary
  • 2004 Annual Research Report
  • 2003 Annual Research Report
  • Research Products

    (11 results)

All 2004 2003 Other

All Journal Article (8 results) Publications (3 results)

  • [Journal Article] Expansions of the Coverage Probabilitiesof Prediction Region Based on a Shrinkage Estimator2004

    • Author(s)
      Sakamoto, Y.
    • Journal Title

      Statistics 38

      Pages: 381-390

    • Description
      「研究成果報告書概要(和文)」より
    • Related Report
      2005 Final Research Report Summary
  • [Journal Article] Asymptotic Expansion Formulas for Functionals of ε-Markov Processes with a Mixing Property2004

    • Author(s)
      Sakamoto, Y.
    • Journal Title

      Ann. Inst. Statist. Math. 56・3

      Pages: 545-597

    • NAID

      40006433092

    • Description
      「研究成果報告書概要(和文)」より
    • Related Report
      2005 Final Research Report Summary
  • [Journal Article] Expansions of the Coverage Probabilities of Prediction Region Based on a Shrinkage Estimator2004

    • Author(s)
      Sakamoto, Y.
    • Journal Title

      Statistics 38

      Pages: 381-390

    • Description
      「研究成果報告書概要(欧文)」より
    • Related Report
      2005 Final Research Report Summary
  • [Journal Article] Asymptotic Expansion Formulas for Functionals of e-Markov Processes with a Mixing Property2004

    • Author(s)
      Sakamoto, Y.
    • Journal Title

      Ann.Inst.Statist.Math. 56-3

      Pages: 545-597

    • Description
      「研究成果報告書概要(欧文)」より
    • Related Report
      2005 Final Research Report Summary
  • [Journal Article] Expansions of the Coverage Probabilitiesof Prediction Region Based on a Shrinkage Estimator2004

    • Author(s)
      Sakamoto, Y., Takada, Y., Yoshida N
    • Journal Title

      Statistics 38

      Pages: 381-390

    • Related Report
      2004 Annual Research Report
  • [Journal Article] Asymptotic Expansion Formulas for Functionals of ε-Markoy Processes with a Mixing Property2004

    • Author(s)
      Sakamoto, Y., Yoshida, N.
    • Journal Title

      Ann.Inst.Statist.Math. 56-3

      Pages: 545-597

    • Related Report
      2004 Annual Research Report
  • [Journal Article] Asymptotic Expansion under degeneracy2003

    • Author(s)
      Sakamoto, Y.
    • Journal Title

      Journal of Japan Statistical Society 33・2

      Pages: 145-156

    • NAID

      110003144460

    • Description
      「研究成果報告書概要(和文)」より
    • Related Report
      2005 Final Research Report Summary
  • [Journal Article] Asymptotic Expansion under degeneracy2003

    • Author(s)
      Sakamoto, Y.
    • Journal Title

      Journal of Japan Statistical Society 33-2

      Pages: 145-156

    • NAID

      110003144460

    • Description
      「研究成果報告書概要(欧文)」より
    • Related Report
      2005 Final Research Report Summary
  • [Publications] Sakamoto, Y., Yoshida, N.: "Asymnptotic Expansion under degeneracy"Journal of Japan Statistical Society. 33・2. 145-156 (2003)

    • Related Report
      2003 Annual Research Report
  • [Publications] Sakamoto, Y., Yoshida, N.: "Asymptotic Expansion Formulas for Functionals of ε-Markov Processes with a Mixing Property"Annals of the Institute of Statistical Mathematics. 印刷中. (2004)

    • Related Report
      2003 Annual Research Report
  • [Publications] Sakamoto, Y., Yoshida, N.: "Expansions of the Coverage Probabilities of Prediction Region based on a Shrinkage Estimator"Statistics. 印刷中. (2004)

    • Related Report
      2003 Annual Research Report

URL: 

Published: 2003-04-01   Modified: 2016-04-21  

Information User Guide FAQ News Terms of Use Attribution of KAKENHI

Powered by NII kakenhi