Results 221 to 230 of about 16,443 (262)

Smoothing by spline functions

Numerische Mathematik, 1967
In this paper we generalize the results of [4] and modify the algorithm presented there to obtain a better rate of convergence.
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A simple smoothing spline, III

Computational Statistics, 1999
This paper is the third in a series devoted to the study of linear smoothing splines; for the review of Part II see [Zbl 1057.62515]. The present article focuses on computational aspects with the specific goal of developing an in-depth understanding of the methods for computing the linear smoothing spline.
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Variance Reduction in Smoothing Splines

Scandinavian Journal of Statistics, 2009
Abstract. We develop a variance reduction method for smoothing splines. For a given point of estimation, we define a variance‐reduced spline estimate as a linear combination of classical spline estimates at three nearby points. We first develop a variance reduction method for spline estimators in univariate regression models.
Paige, Robert L., Sun, Shan, Wang, Keyi
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Smoothing Spline Score Estimation

SIAM Journal on Scientific Computing, 1994
Summary: A new characterization and interpretation of the \textit{D. D. Cox} [Ann. Inst. Stat. Math. 37, 271-288 (1985; Zbl 0578.62041)] smoothing spline score estimator is provided, which makes it possible to construct an efficient algorithm for computing this score estimator.
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On Cardinal Spline Smoothing

1979
Publisher Summary The chapter describes the methods, with some changes, that were used by the author to solve the numerical problem assigned to him at the Ballistics Research Laboratories in Aberdeen, Maryland, during the Second World War. The problem was to smooth very extended equidistant tables of drag functions (or drag coefficients) by ...
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Smoothing With Periodic Cubic Splines

Bell System Technical Journal, 1983
In this paper we present a mathematical algorithm for constructing a smoothing cubic spline with periodic end conditions and a predetermined ‘closeness of fit’ to a given set of points in the plane. In addition to providing a mathematical tool for smoothing raw data in which the underlying function is known to be periodic, this algorithm has special ...
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Parametric smoothing of spline interpolation

2004 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2004
Cubic spline interpolation is commonly applied in signal reconstruction problems. However, overshooting between samples is normally observed, and typically the reconstructed signal does not preserve the statistical properties of the original data or other desired properties such as monotonicity or convexity.
Jesús Ibáñez 0002, Ignacio Santamaría, Carlos Pantaleón, Luis Vielva   +3 more
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Smoothing splines for longitudinal data

Statistics in Medicine, 1995
AbstractIn a longitudinal data model with fixed and random effects, polynomials are used to model the fixed effects and smoothing polynomial splines are used to model the within‐subject random effect curves. The splines are generated by modelling the data for each subject as observations of an integrated random walk with observational error.
S J, Anderson, R H, Jones
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GACV for quantile smoothing splines

Computational Statistics & Data Analysis, 2006
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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The Smoothed Spline

2001
Piecewise approximation functions are compared to single functions which are defined over entire sets of data. The former are presented as providing close fits to the data and as being desirable for performance of subsequent calculations. The cubic spline is described as a piecewise function with controlled curvature and good continuity conditions over
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