000189514 001__ 189514
000189514 005__ 20190416220719.0
000189514 0247_ $$2doi$$a10.1007/s11004-013-9469-y
000189514 022__ $$a1874-8961
000189514 02470 $$2ISI$$a000321569100002
000189514 037__ $$aARTICLE
000189514 245__ $$aGeostatistics of Dependent and Asymptotically Independent Extremes
000189514 269__ $$a2013
000189514 260__ $$bSpringer Heidelberg$$c2013$$aHeidelberg
000189514 300__ $$a19
000189514 336__ $$aJournal Articles
000189514 520__ $$aSpatial modeling of rare events has obvious applications in the environmental sciences and is crucial when assessing the effects of catastrophic events (such as heatwaves or widespread flooding) on food security and on the sustainability of societal infrastructure. Although classical geostatistics is largely based on Gaussian processes and distributions, these are not appropriate for extremes, for which max-stable and related processes provide more suitable models. This paper provides a brief overview of current work on the statistics of spatial extremes, with an emphasis on the consequences of the assumption of max-stability. Applications to winter minimum temperatures and daily rainfall are described.
000189514 6531_ $$aAsymptotic independence
000189514 6531_ $$aBrown-Resnick process
000189514 6531_ $$aGaussian process
000189514 6531_ $$aGeneralised Pareto distribution
000189514 6531_ $$aMax-stable process
000189514 6531_ $$aStatistics of extremes
000189514 700__ $$0240476$$g111184$$aDavison, Anthony C.
000189514 700__ $$0243110$$g166379$$aHuser, Raphaël
000189514 700__ $$aThibaud, Emeric$$g206628$$0244523
000189514 773__ $$j45$$tMathematical Geosciences$$k5$$q511-529
000189514 8564_ $$uhttps://infoscience.epfl.ch/record/189514/files/art3A10.10072Fs11004-013-9469-y.pdf$$zPublisher's version$$s938919$$yPublisher's version
000189514 909C0 $$xU10124$$0252136$$pSTAT
000189514 909CO $$ooai:infoscience.tind.io:189514$$qGLOBAL_SET$$pSB$$particle
000189514 917Z8 $$x111184
000189514 917Z8 $$x102085
000189514 937__ $$aEPFL-ARTICLE-189514
000189514 973__ $$rREVIEWED$$sPUBLISHED$$aEPFL
000189514 980__ $$aARTICLE