IDEAS home Printed from https://ideas.repec.org/a/bla/scjsta/v27y2000i3p445-458.html
   My bibliography  Save this article

Penalized Pseudolikelihood Inference in Spatial Interaction Models with Covariates

Author

Listed:
  • Fabio Divino
  • Arnoldo Frigessi
  • Peter J. Green

Abstract

Given spatially located observed random variables (x, z = {(xi, zi)}i, we propose a new method for non‐parametric estimation of the potential functions of a Markov random field p(x|z), based on a roughness penalty approach. The new estimator maximizes the penalized log‐pseudolikelihood function and is a natural cubic spline. The calculations involved do not rely on Monte Carlo simulation. We suggest the use of B‐splines to stabilize the numerical procedure. An application in Bayesian image reconstruction is described.

Suggested Citation

  • Fabio Divino & Arnoldo Frigessi & Peter J. Green, 2000. "Penalized Pseudolikelihood Inference in Spatial Interaction Models with Covariates," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 27(3), pages 445-458, September.
    • Handle: RePEc:bla:scjsta:v:27:y:2000:i:3:p:445-458
    DOI: 10.1111/1467-9469.00200
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/1467-9469.00200
    Download Restriction: no
    File URL: https://libkey.io/10.1111/1467-9469.00200?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
    ---><---

    Citations

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


    Cited by:

    1. Fabio Divino & Viviana Egidi & Michele Antonio Salvatore, 2009. "Geographical mortality patterns in Italy," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 20(18), pages 435-466.

    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:bla:scjsta:v:27:y:2000:i:3:p:445-458. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0303-6898 .

    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.