Results 31 to 40 of about 43,652 (301)
Mathematics, 2023 In this paper, we propose to study the asymptotic properties of some conditional functional parameters, such as the distribution function, the density, and the hazard function, for an explanatory variable with values in a Hilbert space (infinite ...
Hamza Daoudi +2 more
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Asymptotics of Partial Density Functions for Divisors [PDF]
The Journal of Geometric Analysis, 2016 36 pages. Minor changes.
Ross, J, Singer, M
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On statistical convergence in quasi-metric spaces
Demonstratio Mathematica, 2019 A quasi-metric is a distance function which satisfies the triangle inequality but is not symmetric in general. Quasi-metrics are a subject of comprehensive investigation both in pure and applied mathematics in areas such as in functional analysis ...
İlkhan Merve, Kara Emrah Evren
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Density derivative estimation for stationary and strongly mixing data
Alexandria Engineering Journal, 2020 Estimation of density derivatives has found multiple uses in statistical data analysis. An inefficient two-step method to obtain it is estimating the density and then computing the derivatives.
Marziyeh Mahmoudi +3 more
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Semi-Parametric Estimation Using Bernstein Polynomial and a Finite Gaussian Mixture Model
Entropy, 2022 The central focus of this paper is upon the alleviation of the boundary problem when the probability density function has a bounded support. Mixtures of beta densities have led to different methods of density estimation for data assumed to have compact ...
Salima Helali +2 more
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Asymptotic Deconfinement in High-Density QCD [PDF]
Physical Review Letters, 2001 We discuss QCD with two light flavors at large baryon chemical potential mu. Color superconductivity leads to partial breaking of the color SU(3) group. We show that the infrared physics is governed by the gluodynamics of the remaining SU(2) group with an exponentially soft confinement scale Lambda_QCD' Delta*exp[-a*mu/(g*Delta)], where Delta<
Rischke, D. H. +2 more
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Asymptotic Convergence of Soft-Constrained Neural Networks for Density Estimation
Mathematics, 2020 A soft-constrained neural network for density estimation (SC-NN-4pdf) has recently been introduced to tackle the issues arising from the application of neural networks to density estimation problems (in particular, the satisfaction of the second ...
Edmondo Trentin
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Probability Density of Lognormal Fractional SABR Model
Risks, 2022 Instantaneous volatility of logarithmic return in the lognormal fractional SABR model is driven by the exponentiation of a correlated fractional Brownian motion.
Jiro Akahori, Xiaoming Song, Tai-Ho Wang
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Spectral analysis of vibration in weakly non-linear systems
Vietnam Journal of Mechanics, 2000 The weakly nonlinear systems subjected to deterministic excitations have been fully and deeply studied by use of the well developed asymptotic methods [1-4].
Nguyen Tien Khiem
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Plünnecke’s Theorem for asymptotic densities [PDF]
Transactions of the American Mathematical Society, 2011 Plünnecke proved that if B ⊆ N
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