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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Minimax properties of beta kernel estimators
Journal of Statistical Planning and Inference, 2011 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bertin, Karine, Klutchnikoff, Nicolas
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Hydrology, 2022 Low-lying coastal communities are often threatened by compound flooding (CF), which can be determined through the joint occurrence of storm surges, rainfall and river discharge, either successively or in close succession.
Shahid Latif, Slobodan P. Simonovic
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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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Nonparametric direct density ratio estimation using beta kernel [PDF]
Statistics, 2020 A new nonparametric density ratio estimator using the beta kernel is proposed. It is shown that the beta kernel density ratio estimator (KDRE) is free of boundary or tail bias, and the asymptotic p...
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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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