Results 21 to 30 of about 70,459 (296)
Smoothing under Diffeomorphic Constraints with Homeomorphic Splines [PDF]
, 2010 In this paper we introduce a new class of diffeomorphic smoothers based on general spline smoothing techniques and on the use of some tools that have been recently developed in the context of image warping to compute smooth diffeomorphisms.
de Boor C. +3 more
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Combination Estimation of Smoothing Spline and Fourier Series in Nonparametric Regression
Journal of Mathematics, 2020 So far, most of the researchers developed one type of estimator in nonparametric regression. But in reality, in daily life, data with mixed patterns were often encountered, especially data patterns which partly changed at certain subintervals, and some ...
Ni Putu Ayu Mirah Mariati +2 more
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L1 Control Theoretic Smoothing Splines [PDF]
, 2014 In this paper, we propose control theoretic smoothing splines with L1 optimality for reducing the number of parameters that describes the fitted curve as well as removing outlier data. A control theoretic spline is a smoothing spline that is generated as
Martin, Clyde F., Nagahara, Masaaki
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IET Radar, Sonar & Navigation, 2022 Smoothing process can effectively improve the accuracy of the Global Navigation Satellite System (GNSS) position estimation algorithm. In this study, a Doppler‐aided GNSS position estimation algorithm with a B‐spline smoothing strategy is proposed.
Jieyi Sun, Yongqing Wang, Yuyao Shen
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Locally Adaptive Nonparametric Binary Regression [PDF]
, 2007 A nonparametric and locally adaptive Bayesian estimator is proposed for estimating a binary regression. Flexibility is obtained by modeling the binary regression as a mixture of probit regressions with the argument of each probit regression having a thin
Cottet, Remy +4 more
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A Spline Smoothing Newton Method for Semi-Infinite Minimax Problems
Journal of Applied Mathematics, 2014 Based on discretization methods for solving semi-infinite programming problems, this paper presents a spline smoothing Newton method for semi-infinite minimax problems. The spline smoothing technique uses a smooth cubic spline instead of max function and
Li Dong, Bo Yu, Yu Xiao
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Applied Sciences, 2020 Smoothing is one of the fundamental procedures in functional data analysis (FDA). The smoothing parameter λ influences data smoothness and fitting, which is governed by selecting automatic methods, namely, cross-validation (CV) and generalized ...
Muhammad Athif Mat Zin +3 more
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Improving the mapping of condition-specific health-related quality of life onto SF-6D score [PDF]
, 2014 Background This study sought to improve the predictive performance and goodness-of-fit of mapping models, as part of indirect valuation, by introducing cubic spline smoothing to map a group of health-related quality of life (HRQOL) measures onto a ...
Lam, CLK, Wong, CKH, Wong, MY, Yang, Y
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A comparison of spatial analysis methods for the construction of topographic maps of retinal cell density. [PDF]
PLoS ONE, 2014 Topographic maps that illustrate variations in the density of different neuronal sub-types across the retina are valuable tools for understanding the adaptive significance of retinal specialisations in different species of vertebrates. To date, such maps
Eduardo Garza-Gisholt +3 more
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Applied Sciences, 2021 Meta-model sre generally applied to approximate multi-objective optimization, reliability analysis, reliability based design optimization, etc., not only in order to improve the efficiencies of numerical calculation and convergence, but also to ...
Chang-Yong Song
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