KAUST Grant NumberKUSC1-016-04
Permanent link to this recordhttp://hdl.handle.net/10754/598411
MetadataShow full item record
AbstractEach chapter should be preceded by an abstract (10–15 lines long) that summarizes the content. The abstract will appear onlineat www.SpringerLink.com and be available with unrestricted access. This allows unregistered users to read the abstract as a teaser for the complete chapter. As a general rule the abstracts will not appear in the printed version of your book unless it is the style of your particular book or that of the series to which your book belongs. Please use the ’starred’ version of the new Springer abstractcommand for typesetting the text of the online abstracts (cf. source file of this chapter template abstract) and include them with the source files of your manuscript. Use the plain abstractcommand if the abstract is also to appear in the printed version of the book.
CitationSun Y, Li B, Genton MG (2011) Geostatistics for Large Datasets. Advances and Challenges in Space-time Modelling of Natural Events: 55–77. Available: http://dx.doi.org/10.1007/978-3-642-17086-7_3.
SponsorsThe authors thank Reinhard Furrer for valuable comments on themanuscript. Li’s research was partially supported by NSF grant DMS-1007686. Genton’s researchwas 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).