Literature DB >> 31485285

Comment on Article by Bradley, Holan, and Wikle.

Catherine A Calder1,2, Candace Berrett3.   

Abstract

We provide a discussion of the article "Computationally Efficient Multivariate Spatio-Temporal Models for High-Dimensional Count-Valued Data" by Bradley, Holan, and Wikle. In our opinion, this work constitutes a major contribution to the field of spatio-temporal statistics and contains distribution theory that should be broadly applicable. In this note, we reflect on modeling decisions made by the authors. We include a small set of simulation results to illustrate the effect of one aspect of the proposed model.

Entities:  

Keywords:  Convolution prior; Model approximation; Parameter identifiability; Spatial statistics

Year:  2017        PMID: 31485285      PMCID: PMC6726429     

Source DB:  PubMed          Journal:  Bayesian Anal        ISSN: 1931-6690            Impact factor:   3.728


  1 in total

1.  Bayesian estimates of disease maps: how important are priors?

Authors:  L Bernardinelli; D Clayton; C Montomoli
Journal:  Stat Med       Date:  1995 Nov 15-30       Impact factor: 2.373

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.