ENBIS: European Network for Business and Industrial Statistics

Closing Keynote: Piercesare Secchi on: "O2S2 - Object Oriented Spatial Statistics: A Review with Examples"

Abstract

Submitted by

Piercesare Secchi

Authors

Piercesare Secchi (Politecnico di Milano)

Abstract

I will review recent advances in Object Oriented Spatial Statistics, a system of ideas, algorithms and methods that allows the analysis of high dimensional and complex data when their spatial dependence is an important issue. At the intersection of different disciplines - including mathematics, statistics, computer science and engineering - Object Oriented Spatial Statistics provides the right perspective to address key problems in varied contexts, from Earth and life sciences to urban planning. Through examples, I will illustrate a few paradigmatic methods applied to problems of prediction, classification and smoothing, giving emphasis to industrial applications of the key ideas Object Oriented Spatial Statistics relies upon.

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