IDEAS home Printed from https://ideas.repec.org/a/eee/spapps/v82y1999i2p229-244.html
   My bibliography  Save this article

Some limit theorems for fractional Lévy Brownian fields

Author

Listed:
  • Lin, Zheng Yan
  • Choi, Yong-Kab

Abstract

In this paper we establish large increment results and moduli of continuty for a two-parameter fractional Lévy Brownian motion on rectangles in the Euclidean plane via estimating upper bounds of large deviation probabilities on suprema of the two-parameter fractional Lévy Brownian motion.

Suggested Citation

  • Lin, Zheng Yan & Choi, Yong-Kab, 1999. "Some limit theorems for fractional Lévy Brownian fields," Stochastic Processes and their Applications, Elsevier, vol. 82(2), pages 229-244, August.
  • Handle: RePEc:eee:spapps:v:82:y:1999:i:2:p:229-244
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304-4149(99)00019-8
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ortega, Joaquín, 1984. "On the size of the increments of nonstationary Gaussian processes," Stochastic Processes and their Applications, Elsevier, vol. 18(1), pages 47-56, September.
    2. Zhang, Li-Xin, 1996. "Two different kinds of liminfs on the LIL for two-parameter Wiener processes," Stochastic Processes and their Applications, Elsevier, vol. 63(2), pages 175-188, November.
    3. El-Nouty, Charles, 1993. "A Hanson-Russo-type law of the iterated logarithm for fractional Brownian motion," Statistics & Probability Letters, Elsevier, vol. 17(1), pages 27-34, May.
    4. Lacey, Michael T., 1989. "A remark on the multiparameter law of the iterated logarithm," Stochastic Processes and their Applications, Elsevier, vol. 32(2), pages 355-367, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Moon, Hee-Jin & Choi, Yong-Kab, 2015. "Berry–Esseen type theorems and the uniform law of the iterated logarithm for LPQD processes," Statistics & Probability Letters, Elsevier, vol. 106(C), pages 191-198.
    2. Yong-Kab Choi, 2004. "Path properties of (N;d)-Gaussian random fields," RePAd Working Paper Series lrsp-TRS393, Département des sciences administratives, UQO.
    3. Yong-Kab Choi & Hwa-Sang Sung & Kyo-Shin Hwang & Hee-Jin Moon, 2004. "On the Csorgo-Révész increments of finite dimensional Gaussian random fields," RePAd Working Paper Series lrsp-TRS395, Département des sciences administratives, UQO.
    4. Aigner, Maximilian & Chavez-Demoulin, Valérie & Guillou, Armelle, 2022. "Measuring and comparing risks of different types," Insurance: Mathematics and Economics, Elsevier, vol. 102(C), pages 1-21.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Csáki, Endre & Shi, Zhan, 1998. "Some liminf results for two-parameter processes," Stochastic Processes and their Applications, Elsevier, vol. 78(1), pages 27-46, October.
    2. Zhang, Li-Xin, 1996. "Two different kinds of liminfs on the LIL for two-parameter Wiener processes," Stochastic Processes and their Applications, Elsevier, vol. 63(2), pages 175-188, November.
    3. Wang, Wensheng, 2019. "Asymptotics for discrete time hedging errors under fractional Black–Scholes models," Statistics & Probability Letters, Elsevier, vol. 149(C), pages 160-170.
    4. Yonghong Liu & Yongxiang Mo, 2019. "Chung’s Functional Law of the Iterated Logarithm for Increments of a Fractional Brownian Motion," Journal of Theoretical Probability, Springer, vol. 32(2), pages 721-736, June.
    5. Lee, Cheuk Yin & Xiao, Yimin, 2022. "Propagation of singularities for the stochastic wave equation," Stochastic Processes and their Applications, Elsevier, vol. 143(C), pages 31-54.
    6. Lin, Zhengyan & Hwang, Kyo-Shin & Lee, Sungchul & Choi, Yong-Kab, 2004. "Path properties of a d-dimensional Gaussian process," Statistics & Probability Letters, Elsevier, vol. 68(4), pages 383-393, July.
    7. Yong-Kab Choi, 2004. "Path properties of (N;d)-Gaussian random fields," RePAd Working Paper Series lrsp-TRS393, Département des sciences administratives, UQO.
    8. Wang, Wensheng & Xiao, Yimin, 2019. "The Csörgő–Révész moduli of non-differentiability of fractional Brownian motion," Statistics & Probability Letters, Elsevier, vol. 150(C), pages 81-87.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:spapps:v:82:y:1999:i:2:p:229-244. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/505572/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.