Results 71 to 80 of about 170,593 (200)
Splines in convex sets under constraints of two‐sided inequality type in a hyperplane
Mathematical Modelling and Analysis, 2008 The problem of minimization of a smoothing functional under inequality constraints is considered in a hyperplane. The conditions of the existence of a solution are obtained and some properties of this solution are investigated.
Svetlana Asmuss
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Bivariate Quantile Smoothing Splines
Journal of the Royal Statistical Society Series B: Statistical Methodology, 1998 Summary It has long been recognized that the mean provides an inadequate summary whereas the set of quantiles can supply a more complete description of a sample. We introduce bivariate quantile smoothing splines, which belong to the space of bilinear tensor product splines, as nonparametric estimators for the conditional quantile ...
He, Xuming, Ng, Pin, Portnoy, Stephen
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Relaxed Boundary Smoothing Splines
The Annals of Statistics, 1992 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Bayesian Analysis for Penalized Spline Regression Using WinBUGS [PDF]
Penalized splines can be viewed as BLUPs in a mixed model framework, which allows the use of mixed model software for smoothing. Thus, software originally developed for Bayesian analysis of mixed models can be used for penalized spline regression ...
Matthew P. Wand +2 more
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Smoothing with Mixed Model Software [PDF]
Smoothing methods that use basis functions with penalization can be formulated as fits in a mixed model framework. One of the major benefits is that software for mixed model analysis can be used for smoothing.
Matthew P. Wand, Long Ngo
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COMPARATION ON SEVERAL SMOOTHING METHODS IN NONPARAMETRIC REGRESSION [PDF]
, 2011 There are three nonparametric regression methods covered in this section. These are Moving Average Filtering-Based Smoothing, Local Regression Smoothing, and Kernel Smoothing Methods.
Isnanto, R.Rizal, Rizal Isnanto, R
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Estimation of a regression spline sample selection model [PDF]
, 2013 It is often the case that an outcome of interest is observed for a restricted non-randomly selected sample of the population. In such a situation, standard statistical analysis yields biased results.
Marra, Giampiero +5 more
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Explicit B-spline regularization in diffeomorphic image registration
Frontiers in Neuroinformatics, 2013 Diffeomorphic mappings are central to image registration due largely to their topological properties and success in providing biologically plausible solutions to deformation and morphological estimation problems.
Nicholas James Tustison, Brian eAvants
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Fast Filtering and Smoothing for Multivariate State Space Models [PDF]
This paper gives a new approach to diffuse filtering and smoothing for multivariate state space models. The standard approach treats the observations as vectors while our approach treats each element of the observational vector individually.
Koopman, S.J.M., Durbin, J.
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Arbitrage-Free Smoothing of the Implied Volatility Surface [PDF]
The pricing accuracy and pricing performance of local volatility models crucially depends on absence of arbitrage in the implied volatility surface: an input implied volatility surface that is not arbitrage-free invariably results in negative transition ...
Matthias R. Fengler
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