Beta Kernel Estimator for a Cumulative Distribution Function with Bounded Support [PDF]
Journal of Sciences, Islamic Republic of Iran, 2023 Kernel estimation of the cumulative distribution function (CDF), when the support of the data is bounded, suffers from bias at the boundaries. To solve this problem, we introduce a new estimator for the CDF with support (0,1) based on the beta kernel ...
Behzad Mansouri +2 more
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A new family of kernels from the beta polynomial kernels with applications in density estimation
IJAIN (International Journal of Advances in Intelligent Informatics), 2020 One of the fundamental data analytics tools in statistical estimation is the non-parametric kernel method that involves probability estimates production.
Israel Uzuazor Siloko +2 more
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On the fourth-order hybrid beta polynomial kernels in kernel density estimation
Journal of Nigerian Society of Physical SciencesThis paper introduces a novel family of fourth-order hybrid beta polynomial kernels tailored for statistical analysis. The efficacy of these kernels is evaluated using two principal performance metrics: asymptotic mean integrated squared error (AMISE ...
Benson Ade Eniola Afere
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Comparative analysis of neutralization assays performed using live SARS-CoV-2 virus and pseudovirus to assess immunogenicity of a bivalent SARS-CoV-2 protein vaccine in humans [PDF]
Frontiers in ImmunologyObjectivesThe rapid emergence of SARS-CoV-2 prompted accelerated vaccine development, with neutralization assays serving as essential tools to evaluate vaccine-induced immune responses.MethodsA post-hoc analysis of a Phase I/II trial evaluated the ...
Cuige Gao +10 more
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Curve fitting of the corporate recovery rates: the comparison of Beta distribution estimation and kernel density estimation. [PDF]
PLoS ONE, 2013 Recovery rate is essential to the estimation of the portfolio's loss and economic capital. Neglecting the randomness of the distribution of recovery rate may underestimate the risk.
Rongda Chen, Ze Wang
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On the convergence rate of d-dimensional fourth-order beta polynomial kernels
Recent Advances in Natural Sciences, 2023 This article focuses on formulating the Asymptotic Mean Integrated Squared Error (AMISE) scheme for d-dimensional fourth-order beta polynomial kernels in the context of kernel density estimation.
Benson Ade Eniola Afere
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Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2022 In this paper, we propose a novel hybrid discriminative generative model by integrating a modified version of hidden Markov model (HMM), multivariate Beta-based HMM with support vector machine (SVM). We apply Fisher Kernel to define decision boundary and
Narges Manouchehri, Nizar Bouguila
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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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