ListarModelización, Optimización e Inferencia Estadística (MODES) por tema "Smooth bootstrap"
Mostrando ítems 1-3 de 3
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Bandwidth Selection for Prediction in Regression
(M D P I AG, 2019-08-05)[Abstract] There exist many different methods to choose the bandwidth in kernel regression. If, however, the target is regression based prediction for samples or populations with potentially different distributions, then ... -
Bandwidth selection for statistical matching and prediction
(Springer, 2022)[Abstract]: While there exist many bandwidth selectors for estimation, bandwidth selection for statistical matching and prediction has hardly been studied so far. We introduce a computationally attractive selector for ... -
Computationally Efficient Bootstrap Expressions for Bandwidth Selection in Nonparametric Curve Estimation
(M D P I AG, 2018-09-17)[Abstract] Bootstrap methods are used for bandwidth selection in: (1) nonparametric kernel density estimation with dependent data (smoothed stationary bootstrap and smoothed moving blocks bootstrap), and (2) nonparametric ...