Results 271 to 280 of about 70,459 (296)
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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 \(
openaire +2 more sources
Smoothing Spline Models with Correlated Random Errors
Journal of the American Statistical Association, 1998Yuedong Wang
exaly +2 more sources
Improper Priors, Spline Smoothing and the Problem of Guarding Against Model Errors in Regression
Journal of the Royal Statistical Society Series B: Statistical Methodology, 1978Grace Wahba
exaly
Bayesian “Confidence Intervals” for the Cross-Validated Smoothing Spline
Journal of the Royal Statistical Society Series B: Statistical Methodology, 1983Grace Wahba
exaly
Smoothing Spline ANOVA with Component-Wise Bayesian “Confidence Intervals”
Journal of Computational and Graphical Statistics, 1993Chong Gu, Grace Wahba
exaly
Penalized spline smoothing in multivariable survival models with varying coefficients
Computational Statistics and Data Analysis, 2005Göran Kauermann
exaly
Making robust the cross-validatory choice of smoothing parameter in spline smoothing regression
Communications in Statistics - Theory and Methods, 1989Rana A Moyeed
exaly

