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Advances and Challenges in Space-time Modelling of Natural Events pp 55–77Cite as

Geostatistics for Large Datasets

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Part of the book series: Lecture Notes in Statistics ((LNSP,volume 207))

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Acknowledgements

The authors thank Reinhard Furrer for valuable comments on the manuscript. Li’s research was partially supported by NSF grant DMS-1007686. Genton’s research was partially supported by NSF grants DMS-1007504 and DMS-1100492, and by Award No. KUSC1-016-04, made by King Abdullah University of Science and Technology (KAUST).

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Authors and Affiliations

  1. Department of Statistics, Texas A&M University, College Station, TX, 77843-3143, USA

    Ying Sun & Marc G. Genton

  2. Department of Statistics, Purdue University, West Lafayette, IN, 47907, USA

    Bo Li

Authors
  1. Ying Sun
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  2. Bo Li
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  3. Marc G. Genton
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Corresponding author

Correspondence to Ying Sun .

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Editors and Affiliations

  1. Facultad de Derecho y Ciencias Sociales, Área de Estadística, Universidad de Castilla la Mancha, Avenida Camilo Jose Cela 14, Ciudad Real, 13005, Spain

    Emilio Porcu

  2. , Statistics, Universidad de Castilla la Mancha, Cobertizo San Pedro Martir, Toledo, 45071, Spain

    José–María Montero

  3. , Mathematics Stochastics, Universität Göttingen, Goldschmidtstrasse 7, Göttingen, 37077, Germany

    Martin Schlather

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Sun, Y., Li, B., Genton, M.G. (2012). Geostatistics for Large Datasets. In: Porcu, E., Montero, J., Schlather, M. (eds) Advances and Challenges in Space-time Modelling of Natural Events. Lecture Notes in Statistics(), vol 207. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17086-7_3

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