Softening a hard quadratic bound to a prior pdf - An example from geomagnetism

Andrew Jackson*, Malcolm Sambridge

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Citation (Scopus)

    Abstract

    We discuss the problem of softening a hard quadratic bound to generate a personal prior probability distribution. The quadratic bound requires the model vector to live within a hyperspherical volume. Prior information suggests we may work in a finite-dimensional space, thus avoiding the known difficulties associated with infinite-dimensional spaces, and that values of the Euclidean 2-norm within the volume are uniformly distributed. The application is to the estimation of the magnetic field at the core-mantle boundary.

    Original languageEnglish
    Title of host publicationBAYESIAN INFERENCE AND MAXIMUM ENTROPY METHODS IN SCIENCE AND ENGINEERING
    Subtitle of host publication25th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering
    Pages499-506
    Number of pages8
    DOIs
    Publication statusPublished - 23 Nov 2005
    Event25th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering - San Jose, CA, United States
    Duration: 7 Aug 200512 Aug 2005

    Publication series

    NameAIP Conference Proceedings
    Volume803
    ISSN (Print)0094-243X
    ISSN (Electronic)1551-7616

    Conference

    Conference25th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering
    Country/TerritoryUnited States
    CitySan Jose, CA
    Period7/08/0512/08/05

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