Results 21 to 30 of about 30,240 (156)
A New Kernel Estimator of Copulas Based on Beta Quantile Transformations
Mathematics, 2021 A copula is a multivariate cumulative distribution function with marginal distributions Uniform(0,1). For this reason, a classical kernel estimator does not work and this estimator needs to be corrected at boundaries, which increases the difficulty of ...
Catalina Bolancé, Carlos Alberto Acuña
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A machine learning-based model for a dose point kernel calculation
EJNMMI Physics, 2023 Purpose Absorbed dose calculation by kernel convolution requires the prior determination of dose point kernels (DPK). This study reports on the design, implementation, and test of a multi-target regressor approach to generate the DPKs for monoenergetic ...
Ignacio Scarinci +2 more
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A Hardy–Hilbert-type integral inequality involving two multiple upper-limit functions
Journal of Inequalities and Applications, 2023 By means of the weight functions, the idea of introducing parameters and the technique of real analysis, a new Hardy–Hilbert-type integral inequality with the homogeneous kernel 1 ( x + y ) λ ( λ > 0 ) $\frac{1}{(x + y)^{\lambda}}\ (\lambda > 0 ...
Ricai Luo, Bicheng Yang, Leping He
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Metabolites, 2022 Sugar metabolism influences the quality of sweet corn (Zea mays var. saccharate Sturt) kernels, which is a major goal for maize breeding. In this study, the genome-wide transcriptomes from two supersweet corn cultivars (cv.
Bin Chen +8 more
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On a new extended half-discrete Hilbert’s inequality involving partial sums
Journal of Inequalities and Applications, 2020 By applying the weight functions, the idea of introducing parameters, and Euler–Maclaurin summation formula, a new extended half-discrete Hilbert’s inequality with the homogeneous kernel and the beta, gamma function is given. The equivalent statements of
Xing Shou Huang, Ricai Luo, Bicheng Yang
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DBKGrad: An R Package for Mortality Rates Graduation by Discrete Beta Kernel Techniques
Journal of Statistical Software, 2014 We introduce the R package DBKGrad, conceived to facilitate the use of kernel smoothing in graduating mortality rates. The package implements univariate and bivariate adaptive discrete beta kernel estimators. Discrete kernels have been preferred because,
Angelo Mazza, Antonio Punzo
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Adaptive estimation of a density function using beta kernels [PDF]
ESAIM: Probability and Statistics, 2014 In this paper we are interested in the estimation of a density − defined on a compact interval of R − from n independent and identically distributed observations. In order to avoid boundary effect, beta kernel estimators are used and we propose a procedure (inspired by Lepski's method) in order to select the bandwidth.
Bertin, Karine, Klutchnikoff, Nicolas
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Journal of Function Spaces, 2018 By means of the technique of real analysis and the weight functions, a few equivalent statements of a Hilbert-type integral inequality with the nonhomogeneous kernel in the whole plane are obtained.
Dongmei Xin, Bicheng Yang, Aizhen Wang
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Comparing Entropy and Beta as Measures of Risk in Asset Pricing
Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 2017 The paper establishes entropy as a measure of risk in asset pricing models by comparing its explanatory power with that of classic capital asset pricing model’s beta to describe the diversity in expected risk premiums.
Galina Deeva
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Composition Formulae for the k-Fractional Calculus Operator with the S-Function
Journal of Mathematics, 2021 In this study, the S-function is applied to Saigo’s k-fractional order integral and derivative operators involving the k-hypergeometric function in the kernel; outcomes are described in terms of the k-Wright function, which is used to represent image ...
Hagos Tadesse +3 more
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