On the usefulness of lattice approximations for fractional Gaussian fields

  • Somak Dutta
  • , Debashis Mondal

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

    1 Scopus citations

    Abstract

    Fractional Gaussian fields provide a rich class of spatial models and have a long history of applications in multiple branches of science. However, estimation and inference for fractional Gaussian fields present significant challenges. This book chapter investigates the use of the fractional Laplacian differencing on regular lattices to approximate to continuum fractional Gaussian fields. Emphasis is given on model based geostatistics and likelihood based computations. For a certain range of the fractional parameter, we demonstrate that there is considerable agreement between the continuum models and their lattice approximations. For that range, the parameter estimates and inferences about the continuum fractional Gaussian fields can be derived from the lattice approximations. Interestingly, regular lattice approximations facilitate fast matrix-free computations and enable anisotropic representations. We illustrate the usefulness of lattice approximations via simulation studies and by analyzing sea-surface temperature on the Indian Ocean.

    Original languageEnglish
    Title of host publicationData Science
    Subtitle of host publicationTheory and Applications
    EditorsArni S.R. Srinivasa Rao, C.R. Rao
    PublisherElsevier B.V.
    Pages131-154
    Number of pages24
    ISBN (Print)9780323852005
    DOIs
    StatePublished - Jan 2021

    Publication series

    NameHandbook of Statistics
    Volume44
    ISSN (Print)0169-7161

    Keywords

    • Argo floats
    • Discrete cosine transformation
    • Fractional Laplacian differencing
    • Geometric anisotropy
    • H-likelihood
    • Long range dependence
    • MLE
    • Power-law variogram
    • Regular lattice

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