## Abstract We focus upon flexible Bayesian hierarchical models for scientific data available at geoβcoded locations. Investigators are increasingly turning to spatial process models to analyze such datasets. These models are customarily estimated using Markov Chain Monte Carlo (MCMC) methods, whic
β¦ LIBER β¦
Subset selection from large datasets for Kriging modeling
β Scribed by Gijs Rennen
- Publisher
- Springer-Verlag
- Year
- 2008
- Tongue
- English
- Weight
- 439 KB
- Volume
- 38
- Category
- Article
- ISSN
- 1615-1488
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