Skip to main content

Some Remarks on the Mean of the Running Maximum of Integrated Gauss-Markov Processes and Their First-Passage Times

  • Conference paper
  • First Online:
Computer Aided Systems Theory – EUROCAST 2017 (EUROCAST 2017)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10672))

Included in the following conference series:

  • 1288 Accesses

Abstract

Explicit formulae for the mean of the running maximum of conditional and unconditional Brownian motion are found; these formulae are used to obtain the mean, a(t), of the running maximum of an integrated Gauss-Markov process X(t). Moreover, the connection between the moments of the first-passage-time of X(t) and a(t) is investigated. Some explicit examples are reported.

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 EPUB and 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

References

  1. Abundo, M.: The mean of the running maximum of an integrated Gauss-Markov process and the connection with its first-passage time. Stoch. Anal. Appl. 35(3), 499–510 (2017). https://doi.org/10.1080/073629942015.1099047

    Article  MathSciNet  MATH  Google Scholar 

  2. Abundo, M.: On the first-passage time of an integrated Gauss-Markov process. Scientiae Mathematicae Japonicae Online e-2015 28, 1–14 (2015)

    Google Scholar 

  3. Abundo, M.: On the representation of an integrated Gauss-Markov process. Scientiae Mathematicae Japonicae Online e-2013 26, 719–723 (2013)

    Google Scholar 

  4. Abundo, M.: Limit at zero of the first-passage time density and the inverse problem for one-dimensional diffusions. Stoch. Anal. Appl. 24(1), 1119–1145 (2006)

    Article  MathSciNet  MATH  Google Scholar 

  5. Abundo, M.: Some conditional crossing results of Brownian motion over a piecewise-linear boundary. Stat. Probab. Lett. 58(2), 131–145 (2002)

    Article  MathSciNet  MATH  Google Scholar 

  6. Beghin, L., Orsingher, E.: On the maximum of the generalized Brownian bridge. Lith. Math. J. 39(2), 157–167 (1999)

    Article  MathSciNet  MATH  Google Scholar 

  7. Brown, M., de la Pena, V.H., Klass, M., Sit, T.: On an approach to boundary crossing by stochastic processes. Stoch. Process. Appl. (2016, in press). https://doi.org/10.1016/j.spa.2016.04.027

  8. Brown, M., de la Pena, V.H., Klass, M., Sit, T.: From boundary crossing of non-random functions to boundary crossing of stochastic processes. Probab. Eng. Inf. Sci. 29, 345–359 (2015). https://doi.org/10.1017/S0269964815000030

    Article  MathSciNet  MATH  Google Scholar 

  9. Nobile, A.G., Pirozzi, E., Ricciardi, L.M.: Asymptotics and evaluations of FPT densities through varying boundaries for Gauss-Markov processes. Sci. Math. Jpn. 67(2), 241–266 (2008)

    MathSciNet  MATH  Google Scholar 

  10. Touboul, J., Faugeras, O.: Characterization of the first hitting time of a double integral processes to curved boundaries. Adv. Appl. Probab. 40, 501–528 (2008)

    Article  MathSciNet  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mario Abundo .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Abundo, M., Abundo, M. (2018). Some Remarks on the Mean of the Running Maximum of Integrated Gauss-Markov Processes and Their First-Passage Times. In: Moreno-Díaz, R., Pichler, F., Quesada-Arencibia, A. (eds) Computer Aided Systems Theory – EUROCAST 2017. EUROCAST 2017. Lecture Notes in Computer Science(), vol 10672. Springer, Cham. https://doi.org/10.1007/978-3-319-74727-9_9

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-74727-9_9

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-74726-2

  • Online ISBN: 978-3-319-74727-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics