Workshop on spatial statistics (SAMOS, 2007)
Université Paris 1 Panthéon-SorbonneCe workshop organisé sur une journée était consacré aux modèles spatio et spatio temporels. Six chercheurs étrangers de renommée internationale dans le domaine, ont été invités : N. Cressie, M. Genton, C. Glasbey, V. Isham, S. Richardson, H. Rue. Le thème plus précis du workshop était sur la modélisation hiérarchique à l'aide de processus latents. Les exposés ont abordé aussi bien les problèmes th... more
| Publishes | Daily | Episodes | 13 | Founded | 13 years ago |
|---|---|---|---|---|---|
| Language |  French | Categories | EducationCourses | ||
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Latest Episodes
Modeling space-time data often relies on parametric covariance models and various assumptions such as full symmetry and separability. These assumptions are important because they simplify the structure of the model and its inference, and ease the pos... more
In geostatistics, a common problem is to predict a spatial exceedance and its exceedance region. This is scientifically important since unusual events tend to strongly impact the environment. Here, we use classes of loss functions based on image metr... more
Noël Cressie - Ohio State University Bande son disponible au format mp3 Durée : 10 mn
Marc Genton - University of Geneva Bande son disponible au format mp3 Durée : 5 mn
We develop contrasting spatio-temporal models for two weather variables: solar radiation and rainfall. For solar radiation the aim is to assess the performance of area networks of photo-voltaic cells. Although radiation measured at a sufficiently fin... more
Chris Glasbey - Biomathematics and Statistics Scotland Bande son disponible au format mp3 Durée : 14 mn
Soil moisture provides the physical link between soil, climate and vegetation. It increases via the infiltration of rainfall and decreases through evapotranspiration, run-off and leakage, all these effects being dependent on the existing soil moistur... more
Valérie Isham - University College, London Bande son disponible au format mp3 Durée : 8 mn
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