Quantifying the risk of heat waves using extreme value theory and spatio-temporal functional data

2019 ◽  
Vol 131 ◽  
pp. 176-193 ◽  
Author(s):  
Joshua French ◽  
Piotr Kokoszka ◽  
Stilian Stoev ◽  
Lauren Hall
Keyword(s):  
Extreme Value Theory ◽  
Functional Data ◽  
Heat Waves ◽  
Value Theory ◽  
Extreme Value ◽  
Spatio Temporal

scholarly journals Some Recent Developments in Inference for Geostatistical Functional Data

2019 ◽  
Vol 42 (1) ◽  
pp. 101-122 ◽  
Author(s):  
Piotr Kokoszka ◽  
Matthew Reimherr
Keyword(s):  
Principal Components ◽  
Extreme Value Theory ◽  
Functional Data ◽  
Value Theory ◽  
Extreme Value ◽  
Recent Developments ◽  
Spatial Locations ◽  
Series Of Functions

We review recent developments related to inferencefor functions defined at spatial locations. We also considertime series of functions defined at irregularly distributedspatial points or on a grid. We focus on kriging, estimationof the functional mean and principal components, and significancetesting, giving special attention to testing spatio--temporalseparability in the context of functional data. We also highlightsome ideas related to extreme value theory for spatially indexed functionaltime series.

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