A frequency domain empirical likelihood method for irregularly spaced spatial data
نویسندگان
چکیده
منابع مشابه
Approximate likelihood for large irregularly spaced spatial data.
Likelihood approaches for large irregularly spaced spatial datasets are often very difficult, if not infeasible, to implement due to computational limitations. Even when we can assume normality, exact calculations of the likelihood for a Gaussian spatial process observed at n locations requires O(n(3)) operations. We present a version of Whittle's approximation to the Gaussian log likelihood fo...
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Likelihood approaches for large irregularly spaced spatial datasets are often very difficult, if not infeasible, to use due to computational limitations. Even when we can assume normality, exact calculations of the likelihood for a Gaussian spatial process observed at n locations requires O(n) operations. We present a version of Whittle’s approximation to the Gaussian log likelihood for spatial...
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ژورنال
عنوان ژورنال: The Annals of Statistics
سال: 2015
ISSN: 0090-5364
DOI: 10.1214/14-aos1291