IDEAS home Printed from https://ideas.repec.org/a/spr/sistpr/v12y2009i2p139-163.html
   My bibliography  Save this article

Maximum likelihood estimator for hidden Markov models in continuous time

Author

Listed:
  • Pavel Chigansky

Abstract

No abstract is available for this item.

Suggested Citation

  • Pavel Chigansky, 2009. "Maximum likelihood estimator for hidden Markov models in continuous time," Statistical Inference for Stochastic Processes, Springer, vol. 12(2), pages 139-163, June.
  • Handle: RePEc:spr:sistpr:v:12:y:2009:i:2:p:139-163
    DOI: 10.1007/s11203-008-9025-4
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11203-008-9025-4
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s11203-008-9025-4?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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. Levanony, David & Shwartz, Adam & Zeitouni, Ofer, 1994. "Recursive identification in continuous-time stochastic processes," Stochastic Processes and their Applications, Elsevier, vol. 49(2), pages 245-275, February.
    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. Yury A. Kutoyants, 2021. "On localization of source by hidden Gaussian processes with small noise," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 73(4), pages 671-702, August.
    2. Kutoyants, Yury A., 2019. "On parameter estimation of the hidden Ornstein–Uhlenbeck process," Journal of Multivariate Analysis, Elsevier, vol. 169(C), pages 248-263.

    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. Sharrock, Louis & Kantas, Nikolas & Parpas, Panos & Pavliotis, Grigorios A., 2023. "Online parameter estimation for the McKean–Vlasov stochastic differential equation," Stochastic Processes and their Applications, Elsevier, vol. 162(C), pages 481-546.
    2. Kutoyants, Yu.A., 2017. "On the multi-step MLE-process for ergodic diffusion," Stochastic Processes and their Applications, Elsevier, vol. 127(7), pages 2243-2261.

    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:spr:sistpr:v:12:y:2009:i:2:p:139-163. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.