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Sequential adaptive nonparametric regression via H-splines
(Marcel Dekker IncNew YorkEUA, 1999)
A Bayesian approach to hybrid splines non-parametric regression
(Taylor & Francis LtdAbingdonInglaterra, 2002)
Polynomials to model the growth of young bulls in performance tests
(Cambridge University Press, 2014-03-01)
The use of polynomial functions to describe the average growth trajectory and covariance functions of Nellore and MA (21/32 Charolais+11/32 Nellore) young bulls in performance tests was studied. The average growth trajectories ...
Suavizado de curvas mediante B-spline para el análisis funcional de la radiación solar global.
(Escuela Superior Politécnica de Chimborazo, 2017-12-10)
In this work analyzed the temporal variations of the global solar radiation in an equatorial Alto Andina loca- lity as elements of a Hilbert space. Toe database corresponds to the means recorded every 1 O minutes, thus ...
A method for choosing the smoothing parameter in a semi-parametric model for detecting change-points in blood flow
(Taylor & Francis LtdAbingdonInglaterra, 2014)
Improving the kernel regularized least squares method for small-sample regression
(ElsevierAmsterdam, 2015-09)
The kernel regularized least squares (KRLS) method uses the kernel trick to perform non-linear regression estimation. Its performance depends on proper selection of both a kernel function and a regularization parameter. ...
Robust functional linear regression based on splines
(Elsevier Science, 2013-09)
Many existing methods for functional regression are based on the minimization of an L2 norm of the residuals and are therefore sensitive to atypical observations, which may affect the predictive power and/or the smoothness ...
Nonparametric econometricsNonparametric econometrics
(Sociedade Brasileira de Econometria, 2002)