Goodness of fit test for ergodic diffusions by tick time sample scheme

Ilia Negri, Yoichi Nishiyama

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

We consider a nonparametric goodness of fit test problem for the drift coefficient of one-dimensional ergodic diffusions, where the diffusion coefficient is a nuisance function which is estimated in some sense. Using a theory for the continuous observation case, we construct a test based on the data observed discretely in space, that is, the so-called tick time sampled data. It is proved that the asymptotic distribution of our test under the null hypothesis is the supremum of the standard Brownian motion, and thus our test is asymptotically distribution free. It is also shown that the test is consistent under any fixed alternative.

Original languageEnglish
Pages (from-to)81-95
Number of pages15
JournalStatistical Inference for Stochastic Processes
Volume13
Issue number1
DOIs
Publication statusPublished - 2010 Apr
Externally publishedYes

Fingerprint

Goodness of Fit Test
Distribution-free
Non-parametric test
Supremum
Null hypothesis
Diffusion Coefficient
Asymptotic distribution
Test Problems
Brownian motion
Alternatives
Coefficient

Keywords

  • Asymptotically distribution free test
  • Ergodic diffusion process
  • Invariance principle
  • Tick time sample

ASJC Scopus subject areas

  • Statistics and Probability

Cite this

Goodness of fit test for ergodic diffusions by tick time sample scheme. / Negri, Ilia; Nishiyama, Yoichi.

In: Statistical Inference for Stochastic Processes, Vol. 13, No. 1, 04.2010, p. 81-95.

Research output: Contribution to journalArticle

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