Skip to main content
Log in

Joint behavior of point process of exceedances and partial sum from a Gaussian sequence

  • Published:
Metrika Aims and scope Submit manuscript

Abstract

Consider a triangular array of mean zero Gaussian random variables. Under some weak conditions this paper proves that the partial sums and the point processes of exceedances formed by the array are asymptotically independent. For a standardized stationary Gaussian sequence, it is shown under some mild conditions that the point process of exceedances formed by the sequence (after centered at the sample mean) converges in distribution to a Poisson process and it is asymptotically independent of the partial sums. Finally, the joint limiting distributions of the extreme order statistics and the partial sums are obtained.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Berman S (1964) Limit theorems for the maximum term in stationary sequences. Ann Math Statist 35: 502–516

    Article  MATH  MathSciNet  Google Scholar 

  • Chow TL, Teugels JL (1978) The sum and the maximum of i.i.d. random variables. In Proc Second Prague Symp Asymptotic Statistics, North Holland, N.Y

  • Embrechts P, Klüppelberg C, Mikosch T (1997) Modelling Extremal Events for Insurance and Finance. Springer, Berlin

    MATH  Google Scholar 

  • Falk M, Hüsler J, Reiss RD (2004) Laws of Small Numbers: Extremes and Rare Events. Birkhäuser

  • Ho HC, Hsing T (1996) On the asymptotic joint distribution of the sum and maximum of stationary normal random variables. J Appl Probab 33: 138–145

    Article  MATH  MathSciNet  Google Scholar 

  • Ho HC, McCormick WP (1999) Asymptotic distribution of sum and maximum for strongly dependent Gaussian processes. J Appl Probab 36: 1031–1044

    Article  MATH  MathSciNet  Google Scholar 

  • Hsing T (1995) A note on the asymptotic independence of the sum and maximum of strongly mixing stationary random variables. Ann Probab 23: 938–947

    Article  MATH  MathSciNet  Google Scholar 

  • James B, James K, Qi Y (2007) Limit distribution of the sum and maximum from multivariate Gaussian sequences. J Multi Analysis 98: 517–532

    Article  MATH  MathSciNet  Google Scholar 

  • Kallenberg O (1976) Random Measures. Academic Press, Berlin

    MATH  Google Scholar 

  • Leadbetter MR, Lindgren G, Rootzen H (1983) Extremes and Related Properties of Stationary Sequences and Processes. Springer, New York

    Google Scholar 

  • McCormick WP (1980) Weak convergence for the maxima of stationary Gaussian processes using random normalization. Ann Probab 8: 483–497

    Article  MATH  MathSciNet  Google Scholar 

  • McCormick WP, Mittal Y (1976) On weak convergence of the maximum. Technical Report No 81, Dept of Statist, Stanford University

  • McCormick WP, Qi Y (2000) Asymptotic distribution for the sum and the maximum of Gaussian processes. J Appl Probab 37: 958–971

    Article  MATH  MathSciNet  Google Scholar 

  • Mittal Y, Ylvisaker D (1975) Limit distribution for the maximum of stationary Gaussian processes. Stoch Proc Appl 3: 1–18

    Article  MATH  MathSciNet  Google Scholar 

  • Peng Z (1999) Joint asymptotic distributions of exceedances point process and partial sum of strong dependent Gaussian sequences. Acta Math Appl Sin 22: 362–367

    MATH  Google Scholar 

  • Peng Z, Nadarajah S (2002) On the joint limiting distribution of sums and maxima of stationary normal sequence. Theory Probab Appl 47: 817–820

    MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yongcheng Qi.

Additional information

Yongcheng Qi’s research was supported by NSF grant DMS 0604176.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Hu, A., Peng, Z. & Qi, Y. Joint behavior of point process of exceedances and partial sum from a Gaussian sequence. Metrika 70, 279–295 (2009). https://doi.org/10.1007/s00184-008-0192-5

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00184-008-0192-5

Keywords

Navigation