Events and Meetings of Italian Statistical Society, Advances in Latent Variables - Methods, Models and Applications

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Functional Data Modeling in climatology
Rosaria Ignaccolo

Last modified: 2013-06-16


We introduce an heteroskedastic functional regression model which extends the standard concurrent functional linear model to understand at which extent co-location uncertainty of important atmospheric parameters is related to environmental factors, height and distance between the trajectories of vertical profiles. The proposed approach is illustrated by the co-location uncertainty analysis of two co-located stations involved in GCOS reference upper-air network (GRUAN).

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