Large and moderate deviations in testing Ornstein-Uhlenbeck process with linear drift

Hui JIANG

Front. Math. China ›› 2016, Vol. 11 ›› Issue (2) : 291 -307.

PDF (161KB)
Front. Math. China ›› 2016, Vol. 11 ›› Issue (2) : 291 -307. DOI: 10.1007/s11464-016-0513-3
RESEARCH ARTICLE
RESEARCH ARTICLE

Large and moderate deviations in testing Ornstein-Uhlenbeck process with linear drift

Author information +
History +
PDF (161KB)

Abstract

This paper studies hypothesis testing in the Ornstein-Ulenbeck process with linear drift. With the help of large and moderate deviations for the log-likelihood ratio process, the decision regions and the corresponding decay rates of the error probabilities related to this testing problem are established.

Keywords

Hypothesis testing / large deviations / log-likelihood ratio process / moderate deviations / Ornstein-Uhleneck (O-U) process

Cite this article

Download citation ▾
Hui JIANG. Large and moderate deviations in testing Ornstein-Uhlenbeck process with linear drift. Front. Math. China, 2016, 11(2): 291-307 DOI:10.1007/s11464-016-0513-3

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Bercu B, Richou A. Large deviations for the Ornstein-Uhlenbeck process with shift. Adv in Appl Probab, 2015, 47: 880–901

[2]

Bercu B, Rouault A. Sharp large deviations for the Ornstein-Uhlenbeck process. Theory Probab Appl, 2002, 46: 1–19

[3]

Bishwal J P N. Large deviations in testing fractional Ornstein-Uhlenbeck models. Statist Probab Lett, 2008, 78: 953–962

[4]

Blahut R E. Hypothesis testing and information theory. IEEE Trans Inform Theory, 1984, 20: 405–415

[5]

Chiyonobu T. Hypothesis testing for signal detection problem and large deviations. Nagoya Math J, 2003, 162: 187–203

[6]

Dembo A, Zeitouni D. Large Deviations Techniques and Applications. Berlin: Springer- Verlag, 1998

[7]

Demni N, Zani M. Large deviations for statistics of Jacobi process. Stochastic Process Appl, 2009, 119: 518–533

[8]

Florens-Landais D, Pham H. Large deviations in estimate of an Ornstein-Uhlenbeck model. J Appl Probab, 1999, 36: 60–77

[9]

Gao F Q, Jiang H. Deviation inequalities and moderate deviations for estimators of parameters in an Ornstein-Uhlenbeck process with linear drift. Electron Commun Probab, 2009, 14: 210–223

[10]

Gao F Q, Zhao S J. Moderate deviations and hypothesis testing for signal detection problem. Sci China Math, 2012, 55: 2273–2284

[11]

Gepeev P V, Küchler U. On large deviations in testing Ornstein-Uhlenbeck-type models. Stat Inference Stoch Process, 2008, 11: 143–155

[12]

Guillin A, Liptser R. Examples of moderate deviation principles for diffusion processes. Discrete Contin Dyn Syst Ser B, 2006, 6: 77–102

[13]

Jiang H, Zhao S J. Large and moderate deviations in testing time inhomogeneous diffusions. J Statist Plann Inference, 2011, 141: 3160–3169

[14]

Kuang N H, Xie H T. Large and moderate deviations in testing Rayleigh diffusion model. Statist Papers, 2013, 54: 591–603

[15]

Kutoyants Yu A. Statistical Inference for Ergodic Diffusion Process. Berlin: Springer, 2003

[16]

Zani M. Large deviations for squared radial Ornstein-Uhlenbeck processes. Stochastic Process Appl, 2002, 102: 25–42

[17]

Zhao S J. Hypothesis testing for fractional Ornstein-Uhlenbeck model. Acta Math Sci Ser A Chin Ed, 2011, 31: 1393–1402 (in Chinese)

[18]

Zhao S J, Gao F Q. Large deviations in testing Jacobi model. Statist Probab Lett, 2010, 80: 34–41

RIGHTS & PERMISSIONS

Higher Education Press and Springer-Verlag Berlin Heidelberg

AI Summary AI Mindmap
PDF (161KB)

990

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/