Results 171 to 180 of about 170,593 (200)
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Multivariate Smoothing Spline Functions
SIAM Journal on Numerical Analysis, 1984zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Spline Interpolation and Smoothing on the Sphere
SIAM Journal on Scientific and Statistical Computing, 1981Motivating his study by some need of the analysis of meteorological data the author solves the following extremal problems: A) minimize the functional \(I_ m(u)\) subject to \(u(P_ i)=z_ i\), \(i=1,...,n\), where \(\{P_ i\}\) are points on the sphere and \(I_ m\) is a natural analogue on the sphere of the functional \(\int^{2\pi}_{0}[u^{(m)}(\theta ...
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Multivariate Smoothing and Interpolating Splines
SIAM Journal on Numerical Analysis, 1974A theorem that characterizes spline functions that both smooth and interpolate is given. A bivariate generalization is presented which permits interpolation and smoothing of information which is not necessarily on a rectangular grid. A theorem which involves reproducing kernels for Hilbert spaces unifies this theory.
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Contour Smoothing Based on Weighted Smoothing Splines
2006Here we present a contour-smoothing algorithm based on weighted smoothing splines for contour extraction from a triangular irregular network (TIN) structure based on sides. Weighted smoothing splines are one-variable functions designed for approximating oscillatory data.
Leonor Maria, Oliveira Malva
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Shape constrained smoothing using smoothing splines
Computational Statistics, 2005A nonparametric smoothing algorithm is proposed for evaluation of the function \(g:[a,b]\to R\) which minimizes \[ \sum_{i=1}^n (y_i-g(t_i))^2+\lambda\int_a^b (g^{(2)}(u))^2du \] under the constrains \(g^{(r)}(t)\geq 0\), \(\forall t\in[a,b]\). Here \((t_i,y_i)\) are the data points, \(g^{(k)}\) denotes derivatives of \(g\) with respect to \(t\), and \(
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Improper Priors, Spline Smoothing and the Problem of Guarding Against Model Errors in Regression
Journal of the Royal Statistical Society Series B: Methodological, 1978Grace Wahba
exaly
Smoothing Splines: Regression, Derivatives and Deconvolution
Annals of Statistics, 1983John Rice
exaly

