Skip to main content

Extreme Values and LIL Behavior

  • Chapter
Probability in Banach Spaces 6

Part of the book series: Progress in Probability ((PRPR,volume 20))

Abstract

The law of the iterated logarithm is examined when extreme values are deleted from the partial sums of an i.i.d. sequence in a variety of contexts. Results are included which cover random vectors in the domain of attraction of a stable law, or, more generally, whose partial stuns can be centered and normalized to be stochastically compact.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. A. de Acosta, Asymptotic behavior of stable measures,Ann. Probability 5 (1977), 494–499.

    Google Scholar 

  2. A. de Acosta, Exponential moments of vector valued random series and triangular arrays,Ann. Probability 8 (1980), 381–389.

    Google Scholar 

  3. A. de Acosta and E. Giné Convergence of moments and related functionals in the general central limit theorem in Banach spacesZ. Wahrscheinlichkeitstheorie verw. Gebiete 48 (1979), 213–231.

    Google Scholar 

  4. A. de Acosta, A. Araujo and E. Giné, “Poisson measures, Gaussian measures and the central limit theorem in Banach spaces,” Advances in Probability, vol. IV, Dekker, New York, 1978, pp. 1–68.

    Google Scholar 

  5. A. Araujo and E. Giné, “The Central Limit Theorem for Real and Banach Valued Random Variables,” John Wiley and Sons, New York, 1980.

    MATH  Google Scholar 

  6. S. Csörgo, L. Horvâth and D. Mason, What portion of the sample makes a partial sum asymptotically stable or normal?, Probab. Th. Rel. Fields 72 (1984), 1–16.

    Article  Google Scholar 

  7. W. Feller, “An Introduction to Probability Theory and Its Applications,” vol. I, 3rd edition, John Wiley and Sons, New York, 1968.

    MATH  Google Scholar 

  8. W. Feller, “An Introduction to Probability Theory and Its Applications,” vol. II, 2nd edition, John Wiley and Sons, New York, 1971.

    MATH  Google Scholar 

  9. W. Feller, On regular variation and local limit theorems, Proc. Fifth Berke- ley Symp. Math. Statist. Prob. II, Part 1, pp. 373–388. University of California Press, Berkeley, California 1967.

    Google Scholar 

  10. W. Feller, An extension of the law of the iterated logarithm to variables without variance, J. Math. and Mechanics 18 (1968), 343–355.

    MathSciNet  MATH  Google Scholar 

  11. V. Goodman, J. Kuelbs and J. Zinn, Some results on the LIL in Banach space with applications to weighted empirical processes, Ann. Probability 9 (1981), 713–752.

    Article  MathSciNet  MATH  Google Scholar 

  12. P. Griffin, Laws of the iterated logarithm for symmetric stable processes, Z. Wahrscheinlichkeitstheorie verw. Geb. 68 (1985), 271–285.

    Article  MathSciNet  MATH  Google Scholar 

  13. P. Griffin, N. Jain and W. Pruitt Approximate local limit theorems for laws outside the domain of attractionAnn. Probability 12 (1984), 45–63.

    Google Scholar 

  14. N. Jain and S. Orey, Domains of partial attraction and tightness conditions, Ann. Probability 8 (1980), 584–599.

    Article  MATH  Google Scholar 

  15. J. Kuelbs, Kolmogorov’s Law of the iterated logarithm for Banach space valued random variables, Illinois J. of Math. 21 (1977), 784–800.

    MathSciNet  MATH  Google Scholar 

  16. J. Kuelbs and J. Zinn, Some results on LIL behavior, Ann. of Probability 11 (1983), 506–557.

    Article  MathSciNet  MATH  Google Scholar 

  17. J. Kuelbs, When is the cluster set of {Sn/an} empty?, Ann. of Probability 9 (1981), 377–394.

    Article  MathSciNet  MATH  Google Scholar 

  18. J. Kuelbs, The LIL when X is in the domain of attraction of a Gaussian law, Ann. of Probability 13 (1985), 825–859.

    Article  MathSciNet  MATH  Google Scholar 

  19. J. Kuelbs abd M. Ledoux, Extreme values and the law of the iterated logarithm, Probab. Th. Rel. Fields 74 (1987), 319–340.

    Article  MathSciNet  MATH  Google Scholar 

  20. J. Kuelbs abd M. Ledoux, Extreme values and a Gaussian central limit theo- rem, Probab. Th. Rel. Fields 74 (1987), 341–355.

    Article  MathSciNet  Google Scholar 

  21. T. Mori The strong law of large numbers when extreme values are excluded from sumsZ. Warsch. verw. Gebiete 36(1976), 189–194.

    Google Scholar 

  22. T. Mori, Stability for sums of i.i.d. random variables when extreme terms are excluded, Z. Warsch. verw. Gebiete 41 (1977), 159–167.

    Google Scholar 

  23. G. Pisier, Le théorème limite centrale et la loi du logarithme itérée dans les espaces de Banach, Seminaire Maurey-Schwartz (exposes III and IV ), Paris 1975.

    Google Scholar 

  24. G. Pisier and J. Zinn, On the limit theorems for random variables with values in the spaces L p (1p < ∞), Z. Wahrscheinlichkeitstheorie verw. Gebiete 41 (1978), 289–304.

    Article  MathSciNet  Google Scholar 

  25. W.E. Pruitt, The class of limit laws for stochastically compact normed sums, Ann. of Probability 11 (1983), 962–969.

    Article  MathSciNet  MATH  Google Scholar 

  26. W.F. Stout, “Almost Sure Convergence,” Academic Press, New York, 1974.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1990 Birkhäuser Boston

About this chapter

Cite this chapter

Kuelbs, J., Ledoux, M. (1990). Extreme Values and LIL Behavior. In: Haagerup, U., Hoffmann-Jørgensen, J., Nielsen, N.J. (eds) Probability in Banach Spaces 6. Progress in Probability, vol 20. Birkhäuser Boston. https://doi.org/10.1007/978-1-4684-6781-9_11

Download citation

  • DOI: https://doi.org/10.1007/978-1-4684-6781-9_11

  • Publisher Name: Birkhäuser Boston

  • Print ISBN: 978-1-4684-6783-3

  • Online ISBN: 978-1-4684-6781-9

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics