Comments on: Comparing and selecting spatial predictors using local criteria

Finn Lindgren

Research output: Contribution to journalArticle

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Abstract

Large spatial data sets require innovative techniques for computationally efficient statistical estimation. In this comment some aspects of local predictor selection are explored, with a view towards spatially coherent field prediction and uncertainty quantification.

Original languageEnglish
Pages (from-to)35-44
JournalTest
Volume24
Issue number1
Early online date29 Nov 2014
DOIs
Publication statusPublished - Mar 2015

Keywords

  • Local model selection
  • Non-stationarity
  • Predictive scoring rules
  • Stochastic partial differential equation
  • Stochastic spatial models

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