Bayesian nonstationary spatial modeling for very large datasets
نویسندگان
چکیده
منابع مشابه
Bayesian Modeling for Large Spatial Datasets.
We focus upon flexible Bayesian hierarchical models for scientific data available at geo-coded 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, which have become especially popular for spatial modeling, given their flexibility and power to fit models that wo...
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ژورنال
عنوان ژورنال: Environmetrics
سال: 2013
ISSN: 1180-4009
DOI: 10.1002/env.2200