IDEAS home Printed from https://ideas.repec.org/a/taf/mpopst/v23y2016i3p164-200.html
   My bibliography  Save this article

Random walk Green kernels in the neutral Moran model conditioned on survivors at a random time to origin

Author

Listed:
  • Thierry E. Huillet

Abstract

In the theory of finite discrete-time birth and death chains with absorbing endpoint boundaries, the evaluation of both additive and multiplicative path functionals is made possible by their Green and λ–potential kernels. These computations are addressed in the context of such Markov chains. The application to the neutral Moran model of population genetics yields first hitting and return times. A neutral Moran bridge model, forward and backward in time, for a given total number x of survivors of a single common ancestor at some random time T to the origin of times, yields the age of a mutant allele currently observed to have x copies of itself. This forward theory of age, made possible by Green kernels, is comparable to Watterson’s backward theory of age, which makes use of the reversibility of the Moran chain.

Suggested Citation

  • Thierry E. Huillet, 2016. "Random walk Green kernels in the neutral Moran model conditioned on survivors at a random time to origin," Mathematical Population Studies, Taylor & Francis Journals, vol. 23(3), pages 164-200, July.
  • Handle: RePEc:taf:mpopst:v:23:y:2016:i:3:p:164-200
    DOI: 10.1080/08898480.2015.1087775
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/08898480.2015.1087775
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/08898480.2015.1087775?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. Schraiber, Joshua G. & Griffiths, Robert C. & Evans, Steven N., 2013. "Analysis and rejection sampling of Wright–Fisher diffusion bridges," Theoretical Population Biology, Elsevier, vol. 89(C), pages 64-74.
    Full references (including those not matched with items on IDEAS)

    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. Schraiber, Joshua G., 2014. "A path integral formulation of the Wright–Fisher process with genic selection," Theoretical Population Biology, Elsevier, vol. 92(C), pages 30-35.
    2. Griffiths, Robert C. & Jenkins, Paul A. & Spanò, Dario, 2018. "Wright–Fisher diffusion bridges," Theoretical Population Biology, Elsevier, vol. 122(C), pages 67-77.

    More about this item

    Statistics

    Access and download statistics

    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:taf:mpopst:v:23:y:2016:i:3:p:164-200. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/GMPS20 .

    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.