Repository landing page

We are not able to resolve this OAI Identifier to the repository landing page. If you are the repository manager for this record, please head to the Dashboard and adjust the settings.
research
oaioai:iris.unipa.it:10447/97586

Weighted-average least squares (WALS): A survey

Authors
Publication date
1 January 2016
Publisher
Wiley-Blackwell
Doi

    Abstract

    Model averaging has become a popular method of estimation, following increasing evidence that model selection and estimation should be treated as one joint procedure. Weighted-average least squares (WALS) is a recent model-average approach, which takes an intermediate position between frequentist and Bayesian methods, allows a credible treatment of ignorance, and is extremely fast to compute. We review the theory of WALS and discuss extensions and applications

    Similar works

    Full text

    thumbnail-image

    Archivio istituzionale della ricerca - Università di Palermo

    redirect
    oaioai:iris.unipa.it:10447/97586
    Last time updated on 12/11/2016

    This paper was published in Archivio istituzionale della ricerca - Università di Palermo.

    Having an issue?

    Is data on this page outdated, violates copyrights or anything else? Report the problem now and we will take corresponding actions after reviewing your request.