Goodness of fit test for ergodic diffusion processes

Ilia Negri, Yoichi Nishiyama

Research output: Contribution to journalArticle

17 Citations (Scopus)

Abstract

A goodness of fit test for the drift coefficient of an ergodic diffusion process is presented. The test is based on the score marked empirical process. The weak convergence of the proposed test statistic is studied under the null hypothesis and it is proved that the limit process is a continuous Gaussian process. The structure of its covariance function allows to calculate the limit distribution and it turns out that it is a function of a standard Brownian motion and so exact rejection regions can be constructed. The proposed test is asymptotically distribution free and it is consistent under any simple fixed alternative.

Original languageEnglish
Pages (from-to)919-928
Number of pages10
JournalAnnals of the Institute of Statistical Mathematics
Volume61
Issue number4
DOIs
Publication statusPublished - 2009 Dec
Externally publishedYes

Fingerprint

Ergodic Processes
Goodness of Fit Test
Diffusion Process
Marked Empirical Process
Covariance Function
Distribution-free
Limit Distribution
Weak Convergence
Rejection
Gaussian Process
Null hypothesis
Test Statistic
Brownian motion
Calculate
Alternatives
Coefficient
Standards

Keywords

  • Asymptotically distribution free tests
  • Consistent test
  • Empirical process

ASJC Scopus subject areas

  • Statistics and Probability

Cite this

Goodness of fit test for ergodic diffusion processes. / Negri, Ilia; Nishiyama, Yoichi.

In: Annals of the Institute of Statistical Mathematics, Vol. 61, No. 4, 12.2009, p. 919-928.

Research output: Contribution to journalArticle

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