On variance-covariance components estimation in linear models with AR(1) disturbances.
Witkovský, V. (1996)
Acta Mathematica Universitatis Comenianae. New Series
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Witkovský, V. (1996)
Acta Mathematica Universitatis Comenianae. New Series
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Hélène Lescornel, Jean-Michel Loubes, Claudie Chabriac (2014)
ESAIM: Probability and Statistics
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We consider a model selection estimator of the covariance of a random process. Using the Unbiased Risk Estimation (U.R.E.) method, we build an estimator of the risk which allows to select an estimator in a collection of models. Then, we present an oracle inequality which ensures that the risk of the selected estimator is close to the risk of the oracle. Simulations show the efficiency of this methodology.
Gejza Wimmer (1997)
Mathematica Slovaca
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Gejza Wimmer (1993)
Mathematica Slovaca
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