Results 91 to 100 of about 1,777,436 (249)

Factorizations of Kernels and Reproducing Kernel Hilbert Spaces [PDF]

open access: yes, 2016
In this talk we will explain a series of results concerning reproducing kernel Hilbert spaces, related to the factorization of their kernels. In particular, we will talk about (trivial) isometric multipliers for a large class of reproducing kernel ...
Sarkar, Jaydeb
core   +1 more source

A numerical method for solving conformable fractional integrodifferential systems of second-order, two-points periodic boundary conditions

open access: yesAlexandria Engineering Journal, 2022
In this study, we will discuss numerical solutions of conformable fractional systems of second-order integrodifferential equations concerning couple types Volterra and Fredholm.
Nadjwa Berredjem   +2 more
doaj   +1 more source

The Distributional Effects of Economic Uncertainty*

open access: yesInternational Economic Review, EarlyView.
ABSTRACT We study the distributional implications of uncertainty shocks by developing a model that links macroeconomic aggregates to the US distribution of earnings and consumption. Our findings suggest that the fraction of low‐earning workers decreases initially, while the share of households reporting low consumption increases.
Florian Huber   +2 more
wiley   +1 more source

Genome‐wide association study of morphometric and metabolic characteristics in European populations of the sugar kelp Saccharina latissima

open access: yesJournal of Phycology, EarlyView.
Abstract The sugar kelp Saccharina latissima is a promising candidate for sustainable aquaculture in the North Atlantic and Northeast Pacific, but genetic improvement has been hindered by a limited understanding of the genetic basis of economically important traits.
Stéphane Mauger   +15 more
wiley   +1 more source

Riccati inequalities and reproducing kernel Hilbert spaces [PDF]

open access: yes, 2007
Natural connections between positive semidefinite solutions X of homogeneous algebraic Riccati equations and finite dimensional reproducing kernel de Branges spaces based on a J-inner proper rational square matrix valued functions are known.
Dubi, Chen, Dym, Harry
core   +1 more source

Operator inequalities in reproducing kernel Hilbert spaces

open access: yesCommunications Faculty Of Science University of Ankara Series A1Mathematics and Statistics, 2022
Summary: In this paper, by using some classical Mulholland type inequality, Berezin symbols and reproducing kernel technique, we prove the power inequalities for the Berezin number \(\operatorname{ber}(A)\) for some self-adjoint operators \(A\) on \({H}(\Omega)\).
openaire   +5 more sources

Nonparametric Inference of Conditional Expectile Functions in Large‐Scale Time Series Data With Improved Efficiency

open access: yesJournal of Time Series Analysis, EarlyView.
ABSTRACT Expectile is a coherent and elicitable law‐invariant risk measure widely applied in risk management. Existing methods based on iteratively reweighted least squares (IWLS) are not computationally efficient for large‐scale sample sizes. To overcome the issue, we develop a direct nonparametric conditional expectile function estimator by inverting
Feipeng Zhang, Ping‐Shou Zhong
wiley   +1 more source

Semi-parametric genomic-enabled prediction of genetic values using reproducing kernel Hilbert spaces methods.

open access: yesGenetics Research, 2010
Prediction of genetic values is a central problem in quantitative genetics. Over many decades, such predictions have been successfully accomplished using information on phenotypic records and family structure usually represented with a pedigree.
G. de los Campos   +4 more
semanticscholar   +1 more source

Testing Distributional Granger Causality With Entropic Optimal Transport

open access: yesJournal of Time Series Analysis, EarlyView.
ABSTRACT We develop a novel nonparametric test for Granger causality in distribution based on entropic optimal transport. Unlike classical mean‐based approaches, the proposed method directly compares the full conditional distributions of a response variable with and without the history of a candidate predictor.
Tao Wang
wiley   +1 more source

Nonlinear Dimensionality Reduction Based on HSIC Maximization

open access: yesIEEE Access, 2018
Hilbert-Schmidt independence criterion (HSIC) is typically used to measure the statistical dependence between two sets of data. HSIC first transforms these two sets of data into two reproducing Kernel Hilbert spaces (RKHS), respectively, and then ...
Zhengming Ma   +3 more
doaj   +1 more source

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