Modelling complex interactions in spatio-temporal datasets
| العنوان: | Modelling complex interactions in spatio-temporal datasets |
|---|---|
| المؤلفون: | Ventrucci M, Franco-Villoria M, Rue H |
| المساهمون: | Ventrucci M, Franco-Villoria M, Rue H |
| سنة النشر: | 2019 |
| مصطلحات موضوعية: | base model, flexible regression, kronecker product Gaussian Markov random field, penalized complexity, spatio-temporal smoothing |
| الوصف: | In this work we discuss a novel framework for modelling complex inter- actions in spatio-temporal datasets. The joint effect due to the space and time (in- teraction term) is separated out by the marginal effects. To implement these models in a Bayesian framework we find convenient to work under the Penalized Complexity (PC) prior framework. In this way, the degree with which the interaction model shrinks to the marginal model can intuitively be tuned at prior. |
| وصف الملف: | ELETTRONICO |
| اللغة: | English |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=od______4094::e66a188db46cbf2e395974586d76e5ea http://hdl.handle.net/11585/709727 |
| حقوق: | CLOSED |
| رقم الأكسشن: | edsair.od......4094..e66a188db46cbf2e395974586d76e5ea |
| قاعدة البيانات: | OpenAIRE |
| الوصف غير متاح. |