On spatio-temporal data modelling and uncertainty quantification using machine learning and information theory
Auteur :
Guignard, Fabian
Éditeur :
Springer Nature Switzerland AG
ISBN :
9783030952334
Date de publication :
13 mars 2023
Dimensions :
23,5 x 15,5 cm
Langue :
Anglais
Pays d'origine :
Suisse
Particular attention is also paid to a highly versatile exploratory data analysis tool based on information theory, the Fisher-Shannon analysis, which can be used to assess the complexity of distributional properties of temporal, spatial and spatio-temporal data sets.