Asymptotic normality of least squares type estimators to stochastic differential equations driven by fractional Brownian motions

Shohei Nakajima, Yasutaka Shimizu*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

We study the problem of parametric estimation for discretely observed stochastic processes driven by fractional Brownian motion with Hurst index H∈(1/2,1). Under some assumptions on the drift coefficient, we obtain the asymptotic normality of the least square estimator of the drift parameter at special rate.

Original languageEnglish
Article number109476
JournalStatistics and Probability Letters
Volume187
DOIs
Publication statusPublished - 2022 Aug

Keywords

  • Asymptotic normality
  • Fractional Brownian motion
  • Least squares estimator
  • Parameter estimation
  • Stochastic differential equation

ASJC Scopus subject areas

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

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