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Spherically symmetric multivariate beta family kernels

Statistics & Probability Letters, 2015
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Graduation by Adaptive Discrete Beta Kernels

2012
Various approaches have been proposed in literature for the kernel graduation of mortality rates. This paper focuses on the discrete beta kernel estimator, proposed in Mazza and Punzo (New perspectives in statistical modeling and data analysis, studies in classification, data analysis and knowledge organization, Springer, Berlin/Heidelberg, 2011 ...
MAZZA, Angelo, PUNZO, ANTONIO
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Bias reductions for beta kernel estimation

Journal of Nonparametric Statistics, 2015
The beta kernel estimator for a density with support was discussed by Chen [(1999) ‘Beta Kernel Estimators for Density Functions’, Computational Statistics and Data Analysis, 31, 131–145]. In this paper, when the underlying density has a fourth-order derivative, we improve the beta kernel estimator using the bias correction techniques based on two beta
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Nonparametric density estimation based on beta prime kernel

Communications in Statistics - Theory and Methods, 2018
AbstractIn this work, we propose beta prime kernel estimator for estimation of a probability density functions defined with nonnegative support.
Elif Erçelik, Mustafa Nadar
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Multi-task beta process sparse kernel machines

The 2011 International Joint Conference on Neural Networks, 2011
In this paper we propose a nonparametric extension to the sparse kernel machine using a beta process prior. The extended beta process sparse kernel machine (BPSKM) allows for a sparse model to be constructed from a set of training data. The recent research on beta process reveals elegant property of Bayesian conjugate prior which is utilized to derive ...
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EGS4 Monte Carlo determination of the beta dose kernel in water

Medical Physics, 1990
The EGS4 Monte Carlo code has been used to simulate the emission and energy deposition in H2 O about point sources of monoenergetic electrons and radionuclides of potential use in radioimmunotherapy. The radiations studied were 0.05, 0.1, 0.5, 1.0, 2.0, and 3.0 MeV monoenergetic electrons and 32P, 67Cu, 90Y, 105Rh, 131I, 153Sm, 186Re, and 188Re β ...
D J, Simpkin, T R, Mackie
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Monte Carlo-Assisted Voxel Source Kernel Method (MAVSK) for Internal Beta Dosimetry

Nuclear Medicine and Biology, 1998
A method is described for the determination of patient-specific organ beta doses given a known cumulated internal radioactivity distribution. A voxel source kernel for 90Y analogous to the point source function was simulated. Dose to each organ of interest could then be estimated by convolving the voxel source kernel with the patient's 3-D volume with ...
A, Liu   +3 more
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Discrete Beta Kernel Graduation of Age-Specific Demographic Indicators

2011
Several approaches have been proposed in literature for the kernel graduation of age-specific demographic indicators. Nevertheless, although age is pragmatically a discretized variable with a finite support (typically age at last birthday is considered), commonly used methods employ continuous kernel functions.
MAZZA, Angelo, PUNZO, ANTONIO
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Using the Variation Coefficient for Adaptive Discrete Beta Kernel Graduation

2013
Various approaches have been proposed in literature for the kernel graduation of mortality rates. Among them, this paper considers, as a starting point, the fixed bandwidth discrete beta kernel estimator, a recent proposal conceived to intrinsically reduce boundary bias and in which age is pragmatically considered as a discrete variable.
MAZZA, Angelo, PUNZO, ANTONIO
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BETA DIVERGENCE AND KERNELS METHODS WITH SUPPORT VECTOR MACHINE (SVM)

Far East Journal of Theoretical Statistics, 2023
Ndaw, Mactar   +2 more
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