Docente
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JONA LASINIO GIOVANNA
(programma)
Gli argomenti del corso sono i seguenti e sono affrontati in lingua inglese:
Introduction to Spatial Statistic
- Exploratory Data Analysis using R
- Non stochastic approaches to spatial interpolation
Geostatistical Models
- Spatial Interpolation under a stochastic model: mixed effect spatial model
- Estimation in the likelihood paradigm
- Bayesian Estimation (with a brief introduction to general Bayesian statistics)
Computational issues in spatial statistics
- The big N problem and some way to deal with it
Lattice Models
- Spatial glm and automodels
Extreme Value theory
- Generalized extreme value distribution
- Genralized Pareto distribution
Spatio temporal modeling of environmental data: some examples
The evaluation of the acquired skills is done through a series of homeworks that will be assigned during classes and posted on the course web page so that they can be developed by not attending students, and a final report based on the homeworks results.
Slides of the lectures and other teaching material are available online in the DSS elearning web page.
Suggested text books:
- Handbook of Spatial Statistics Editors Alan E. Gelfand, Peter Diggle, Peter Guttorp, Montserrat Fuentes. CRCpress
- Stuart Coles Introduction to Extreme Value theory Springer
A more advanced text books is
Sudipto Banerjee, Bradley P. Carlin, Alan E. Gelfand Hierarchical Modeling and Analysis for Spatial Data, Second Edition CRCpress
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