Ensemble Kalman filtering for non-linear likelihood models using kernel-shrinkage regression techniques
نویسندگان
چکیده
منابع مشابه
Ensemble Kalman filtering for non-linear likelihood models using kernel-shrinkage regression techniques
One of the major limitations of the classical ensemble Kalman filter (EnKF) is the assumption of a linear relationship between the state vector and the observed data. Thus, the classical EnKF algorithm can suffer from poor performance when considering highly non-linear and non-Gaussian likelihood models. In this paper, we have formulated the EnKF based on kernel-shrinkage regression techniques....
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ژورنال
عنوان ژورنال: Computational Geosciences
سال: 2011
ISSN: 1420-0597,1573-1499
DOI: 10.1007/s10596-010-9222-2