[Forum SIS] Politecnico di Milano - Seminario S. Castruccio
Laura M. Sangalli
laura.sangalli a polimi.it
Gio 8 Giu 2017 18:51:28 CEST
Si avvisa che in data 13-06-2017, alle ore 14:30 precise, presso l'Aula
Seminari "F. Saleri" VI piano - Dipartimento di Matematica, Politecnico
di Milano, nell'ambito delle iniziative MOX, si svolgerà il seguente
seminario:
Relatore:
Stefano Castruccio, Newcastle University, UK
Titolo:
Stochastic Approximations of Complex Deterministic Models: Environmental
Applications
Sommario:
Climate models are among the most used tools for impact assessment and
policy making, and they are instrumental to obtain physically consistent
projections of future climate. While it is of crucial importance to
assess the sensitivity of such models to different input such as
scenarios and parametrizations, a comprehensive analysis is not feasible
due to computational and memory constraints. In this talk I will present
new classes of global space-time statistical models (emulators) that can
provide useful stochastic approximations to climate models. Emulators
trained on a small set of model runs allow to perform sensitivity
analysis with surrogate runs that are orders of magnitude faster to
compute than the original climate model.
I will also discuss some of my methodological research on global
space-time statistical models, spanning from nonstationary Gaussian
processes in the sphere x time domain that can account for land/ocean
regimes and vertical profiles of temperatures, to skew-t processes for
daily data. The large dimensionality of the model output, comprising of
hundreds of millions data points, poses significant computational
challenges, and in this talk I will also introduce a new sequential
likelihood approximation that will allow scalable, parallelizable and
asymptotically consistent inference for massive datasets.
Tutti gli interessati sono invitati a partecipare.
Cordiali saluti,
Laura Sangalli
--
Laura Maria Sangalli
MOX - Dipartimento di Matematica
Politecnico di Milano
Piazza Leonardo da Vinci 32
20133 Milano - Italy
tel: +39 02 2399 4554
fax: +39 02 2399 4568
email: laura.sangalli at polimi.it
url: http://mox.polimi.it/~sangalli
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