ListarModelización, Optimización e Inferencia Estadística (MODES) por tema "Smoothing parameter"
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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 ... -
Weighted Local Nonparametric Regression with Dependent Errors: Study of Real Private Residential Fixed Investment in the USA
(Kluwer Academic Publishers, 2004)This paper presents an overview of the existing literature on the nonparametric local polynomial (LPR) estimator of the regression function and its derivatives when the observations are dependent. When the errors of the ...