Results 31 to 40 of about 76,031 (307)
Proceedings, 2018 Bootstrap methods are used for bandwidth selection in: (1) nonparametric kernel density estimation with dependent data (smoothed stationary bootstrap and smoothed moving blocks bootstrap), and (2) nonparametric kernel hazard rate estimation (smoothed ...
Inés Barbeito, Ricardo Cao
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Smooth Dependence of Topological Conjugacies on Parameters
Advanced Nonlinear Studies, 2011 Abstract For nonautonomous linear equations xʹ = A(t)x with a nonuniform exponential dichotomy, we show that under sufficiently small C 1 parameter-dependent perturbations, namely of the form xʹ = A(t)x + f (t, x, λ), the topological conjugacies in an appropriate version of ...
Barreira, Luis, Valls, Claudia
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A Novel Dynamic Absorber with Variable Frequency and Damping
Shock and Vibration, 2021 Smoothness and discontinuous (SD) oscillator is a nonlinear oscillator with the variable frequency, whose frequency can be varied with the smoothing parameter. However, how to adjust the smoothing parameter has not been solved in the actual device.
Tian Wang +4 more
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Optimal Smoothing of the Wind–Wave Spectrum Based on the Confidence-Interval Trade-Off
Journal of Marine Science and Engineering, 2023 In this study, a smoothing method was applied to improve the accuracy of peak wave period estimation using water surface elevation data collected from two oceanographic and meteorological observation towers situated on the western coast of the Korean ...
Uk-Jae Lee, Dong-Hui Ko, Hong-Yeon Cho
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Smoothing of, and parameter estimation from, noisy biophysical recordings. [PDF]
PLoS Computational Biology, 2009 Biophysically detailed models of single cells are difficult to fit to real data. Recent advances in imaging techniques allow simultaneous access to various intracellular variables, and these data can be used to significantly facilitate the modelling task.
Quentin J M Huys, Liam Paninski
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Efficient algorithms for robust generalized cross-validation spline smoothing
, 2010 Generalized cross-validation (GCV) is a widely used parameter selection criterion for spline smoothing, but it can give poor results if the sample size n is not sufficiently large.
Anderssen, R.S. +5 more
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Barekeng, 2020 This study uses IHK data from East Kalimantan Province in January 2016 to February 2019, which has a patterned trend. Data that shows a trend, can use double exponential smoothing forecasting one parameter from Brown and two parameters from Holt.
Humairo Dyah Puji Habsari +2 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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IEEE Open Journal of Signal Processing, 2021 Smoothing and sharpening are two fundamental image processing operations. The latter is usually related to the former through the unsharp masking algorithm.
Guang Deng +3 more
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Automatic Smoothing Parameter Selection: A Survey [PDF]
Empirical Economics, 1988 This is a survey of recent developments in smoothing parameter selection for curve estimation. The first goal of this paper is to provide an introduction to the methods available, with discussion at both a practical and also a nontechnical level, including comparison of methods.
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