Spatially Correlated Model Selection Method
A variable selection method for spatial data is presented. It is assumed that the spatial process is non-stationary as a whole but is piece-wise stationary. The pieces where the spatial process is stationary are called regions. The variable selection approach accounts for two sources of correlation: (1) the spatial correlation of the data within the regions, and (2) the correlation of adjacent regions. The variable selection is carried out by including indicator variables that characterize the significance of the regression coefficients. The Ising distribution as prior for the vector of indicator variables, models the dependence of adjacent r…
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Produktdetails
Weitere Autoren: Leman, Scotland / Smith, Eric
- ISBN: 978-3-330-34449-5
- EAN: 9783330344495
- Produktnummer: 37517774
- Verlag: LAP Lambert Academic Publishing
- Sprache: Englisch
- Erscheinungsjahr: 2017
- Seitenangabe: 124 S.
- Masse: H22.0 cm x B15.0 cm x D0.7 cm 203 g
- Abbildungen: Paperback
- Gewicht: 203
Über den Autor
Dr. Ciro Velasco-Cruz is Professor of Statistics in the Stat Program, Colegio de Postgraduados, Mexico. He graduated in 2012 from the Stat Department, Virginia Tech. He is interested in Spatial Statistics, Dynamic Modeling, Bayesian non-parametric modeling.
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