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    Comments on: Spatiotemporal models for skewed processes

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    ENVR_GH_disc.pdf
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    Description:
    Accepted Manuscript
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    Type
    Article
    Authors
    Genton, Marc G. cc
    Hering, Amanda S.
    KAUST Department
    Applied Mathematics and Computational Science Program
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Statistics Program
    Date
    2017-09-03
    Online Publication Date
    2017-09-03
    Print Publication Date
    2017-09
    Permanent link to this record
    http://hdl.handle.net/10754/625756
    
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    Abstract
    We would first like to thank the authors for this paper that highlights the important problem of building models for non-Gaussian space-time processes. We will hereafter refer to the paper as SGV, and we also would like to acknowledge and thank them for providing us with the temporally detrended temperatures, plotted in their Figure 1, along with the coordinates of the twenty-one locations and the posterior means of the parameters for the MA1 model. We find much of interest to discuss in this paper, and as we progress through points of interest, we pose some questions to the authors that we hope they will be able to address.
    Citation
    Genton MG, Hering AS (2017) Comments on: Spatiotemporal models for skewed processes. Environmetrics 28: e2430. Available: http://dx.doi.org/10.1002/env.2430.
    Publisher
    Wiley
    Journal
    Environmetrics
    DOI
    10.1002/env.2430
    Additional Links
    onlinelibrary.wiley.com/doi/10.1002/env.2430/abstract
    ae974a485f413a2113503eed53cd6c53
    10.1002/env.2430
    Scopus Count
    Collections
    Articles; Applied Mathematics and Computational Science Program; Statistics Program; Statistics Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

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