Results 61 to 70 of about 1,638 (210)
On the weak limit of compact operators on the reproducing kernel Hilbert space and related questions
Analele Stiintifice ale Universitatii Ovidius Constanta: Seria Matematica, 2016 By applying the so-called Berezin symbols method we prove a Gohberg- Krein type theorem on the weak limit of compact operators on the non- standard reproducing kernel Hilbert space which essentially improves the similar results of Karaev [5]: We also in ...
Saltan Suna
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Reproducing Kernel Method with Global Derivative
Journal of Function Spaces, 2023 Ordinary differential equations describe several phenomena in different fields of engineering and physics. Our aim is to use the reproducing kernel Hilbert space method (RKHSM) to find a solution to some ordinary differential equations (ODEs) that are ...
Nourhane Attia +2 more
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International Statistical Review, EarlyView.Summary Distance covariance is a popular measure of dependence between random variables. It has some robustness properties, but not all. We prove that the influence function of the usual distance covariance is bounded, but that its breakdown value is zero.
Sarah Leyder +2 more
wiley +1 more source
Abstract and Applied Analysis, 2012 This paper investigates the numerical solution of nonlinear Fredholm-Volterra integro-differential equations using reproducing kernel Hilbert space method. The solution đą(đ„) is represented in the form of series in the reproducing kernel space.
Omar Abu Arqub +2 more
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Journal of Time Series Analysis, EarlyView.ABSTRACT Expectile is a coherent and elicitable lawâinvariant risk measure widely applied in risk management. Existing methods based on iteratively reweighted least squares (IWLS) are not computationally efficient for largeâscale sample sizes. To overcome the issue, we develop a direct nonparametric conditional expectile function estimator by inverting
Feipeng Zhang, PingâShou Zhong
wiley +1 more source
Numerical Solution of Seventh-Order Boundary Value Problems by a Novel Method
Abstract and Applied Analysis, 2014 We demonstrate the efficiency of reproducing kernel Hilbert space method on the seventh-order boundary value problems satisfying boundary conditions. These results have been compared with the results that are obtained by variational iteration method (VIM)
Mustafa Inc, Ali AkgĂŒl
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On goodnessâofâfit testing for selfâexciting point processes
Scandinavian Journal of Statistics, EarlyView.Abstract Despite the wide usage of parametric point processes in theory and applications, a sound goodnessâofâfit procedure to test whether a given parametric model is appropriate for data coming from a selfâexciting point process has been missing in the literature.
José Carlos Fontanesi Kling +1 more
wiley +1 more source
Spatial depth for data in metric spaces
Scandinavian Journal of Statistics, EarlyView.Abstract We propose a novel measure of statistical depth, the metric spatial depth, for data residing in an arbitrary metric space. The measure assigns high (low) values for points located near (far away from) the bulk of the data distribution, allowing quantifying their centrality/outlyingness.
Joni Virta
wiley +1 more source
The Journal of Physiology, EarlyView.Abstract figure legend We present a shape modellingâbased morphological analysis of sex differences in cardiac anatomy. We conduct our analysis on 456 healthy subjects from the UK Biobank (227M/229F) to uncover sexâbased differences in healthy cardiac morphology.
Beatrice Moscoloni +4 more
wiley +1 more source
An accurate method for solving a singular second-order fractional Emden-Fowler problem
Advances in Difference Equations, 2018 In this paper, we study a singular second-order fractional Emden-Fowler problem. The reproducing kernel Hilbert space method (RKHSM) is employed to compute an approximation to the proposed problem.
Muhammed I Syam +3 more
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