نتایج جستجو برای: smoothing splines
تعداد نتایج: 26736 فیلتر نتایج به سال:
One of the problems facing experiments designed to detect redshifted 21cm emission from the epoch of reionization (EoR) is the presence of foregrounds which exceed the cosmological signal in intensity by orders of magnitude. When fitting them so that they can be removed, we must be careful to minimize ‘overfitting’, in which we fit away some of the cosmological signal, and ‘underfitting’, in wh...
In the classical theory of cubic interpolation splines there exists an algorithm which works with only On arithmetic operations. Also, smoothing may be computed via Reinsch reduces their computation to and also performs this paper it is shown that many features polynomial spline setting carry over larger class L-splines where L a linear differential operator order 4 constant coefficients. Crite...
The P-splines of Eilers andMarx (Stat Sci 11:89– 121, 1996) combine aB-spline basis with a discrete quadratic penalty on the basis coefficients, to produce a reduced rank spline like smoother. P-splines have three properties that make them very popular as reduced rank smoothers: (i) the basis and the penalty are sparse, enabling efficient computation, especially for Bayesian stochastic simulati...
We consider the problem of data interpolation or smoothing using a thin-plate spline approach. The thin-plate spline formulation involves the linear combination of logarithmic kernels. For problems with large data sets, current methods for evaluating the splines are too slow. Recently, Beatson and Newsam 1] have suggested using a form of multi-pole type technique for the rapid evaluation of thi...
We present a new scheme for modeling the contour of wet material objects by employing optimal design of periodic smoothing spline surfaces. The surfaces are constructed using normalized uniform B-splines as the basis functions, namely as weighted sum of shifted bi-variable B-splines. Then a central issue is to determine an optimal matrix of the so-called control points. A concise representation...
We develop semiparametric methods for matched case-control studies using regression splines. Three methods are developed: 1) an approximate cross-validation scheme to estimate the smoothing parameter inherent in regression splines, as well as 2) Monte Carlo expectation maximization (MCEM) and 3) Bayesian methods to fit the regression spline model. We compare the approximate cross-validation app...
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