Approximate Bayesian inference for large spatial datasets using predictive process models
نویسندگان
چکیده
This article addresses the challenges of estimating hierarchical spatial models to large datasets. With the increasing availability of geocoded scientific data, hierarchical models involving spatial processes have become a popular method for carrying out spatial inference.
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عنوان ژورنال:
- Computational Statistics & Data Analysis
دوره 56 شماره
صفحات -
تاریخ انتشار 2012