Results 201 to 210 of about 4,541 (238)
Glycemic Control and Diabetes Outcomes After Surgical Therapy for Diabetic Gastroparesis.
JAMA SurgSadda VR +4 more
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Penalized hyperbolic-polynomial splines [PDF]
Applied Mathematics Letters, 2021 Splines and spline approximations using penality functions are especially useful tools in univariate approximation theory when univariate data are to be approximated, and when no interpolation property is needed. The methods using piecewise polynomial splines and penalty methods can be formulated via square (or otherwise, other \(L^p\)-norms are ...
Rosanna Campagna, Costanza Conti
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Reproduction capabilities of penalized hyperbolic-polynomial splines
Applied Mathematics Letters, 2022 11 pages, 2 ...
Rosanna Campagna, Costanza Conti
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Uniform convergence of penalized splines
Stat, 2020 Penalized splines are popular for nonparametric regression. We establish the minimax rate optimality of penalized splines for uniform convergence, thus improving the existing rate in the literature. The result is applicable to several types of penalized splines that are commonly used and holds under mild conditions on the design points.
Luo Xiao
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Adaptive penalized splines for data smoothing
Computational Statistics and Data Analysis, 2017zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lianqiang Yang, Yongmiao Hong
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Asymptotic theory of penalized splines
Electronic Journal of Statistics, 2019 The paper gives a unified study of the large sample asymptotic theory of penalized splines including the O-splines using B-splines and an integrated squared derivative penalty [22], the P-splines which use B-splines and a discrete difference penalty [13], and the T-splines which use truncated polynomials and a ridge penalty [24].
Luo Xiao
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ON SEMIPARAMETRIC REGRESSION WITH O'SULLIVAN PENALIZED SPLINES [PDF]
Australian and New Zealand Journal of Statistics, 2008 SummaryAn exposition on the use of O'Sullivan penalized splines in contemporary semiparametric regression, including mixed model and Bayesian formulations, is presented. O'Sullivan penalized splines are similar to P‐splines, but have the advantage of being a direct generalization of smoothing splines. Exact expressions for the O'Sullivan penalty matrix
M P Wand
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On the asymptotics of penalized splines
Biometrika, 2008SUMMAvRY We study the asymptotic behaviour of penalized spline estimators in the univariate case. We use B-splines and a penalty is placed on mth-order differences of the coefficients. The number of knots is assumed to converge to infinity as the sample size increases. We show that penalized splines behave similarly to Nadaraya-Watson kernel estimators
Yingxing Li, David Ruppert
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Canadian Journal of Statistics, 2012
AbstractThe penalized spline is a popular method for function estimation when the assumption of “smoothness” is valid. In this paper, methods for estimation and inference are proposed using penalized splines under additional constraints of shape, such as monotonicity or convexity.
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AbstractThe penalized spline is a popular method for function estimation when the assumption of “smoothness” is valid. In this paper, methods for estimation and inference are proposed using penalized splines under additional constraints of shape, such as monotonicity or convexity.
openaire +1 more source