Results 61 to 70 of about 244,174 (205)
Strong Convergence of Distributions of Estimators
Let the parameter space \(\theta\) be an open subset of R k and \(\{T_ n\}^ a \)sequence of estimators of \(\vartheta\in \theta\). Assuming that the locally asymptotically normal condition is satisfied at \(\vartheta_ 0\in \theta\), the author obtained a sufficient condition which assures that for all \(\alpha >0\lim_{n\to \infty}\sup_{| h| \leq \alpha}
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Local Linear Fitting Under Near Epoch Dependence: Uniform consistency with Convergence Rates [PDF]
Local linear fitting is a popular nonparametric method in statistical and econometric modelling. Lu and Linton (2007) established the pointwise asymptotic distribution for the local linear estimator of a nonparametric regression function under the ...
Zudi Lu, Degui Li, Oliver Linton
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On the convergence of adaptive nonconforming finite element methods for a class of convex variational problems [PDF]
We formulate and analyze an adaptive nonconforming finite element method for the solution of convex variational problems. The class of minimization problems we admit includes highly singular problems for which no Euler–Lagrange equation (or inequality ...
Christoph Ortner +3 more
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Relative entropy in diffusive relaxation [PDF]
We establish convergence in the diffusive limit from entropy weak solutions of the equations of compressible gas dynamics with friction to the porous media equation away from vacuum.
Tzavaras, Athanasios E. +1 more
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On strong convergence of arrays [PDF]
In this paper we study almost sure convergence for arrays of independent and identically distributed random variables. We obtain a condition under which Marcinkiewicz's strong law holds and get a rate analogous to the law of the iterated logarithm under a condition weaker than Hu and Weber's.
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Strong Convergence of Viscosity Iteration Methods for Nonexpansive Mappings
We propose a new viscosity iterative scheme for finding fixed points of nonexpansive mappings in a reflexive Banach space having a uniformly Gâteaux differentiable norm and satisfying that every weakly compact convex subset of the space has the fixed ...
Jong Soo Jung
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Strong convergence for large bodies in micromagnetics [PDF]
The convexified Landau-Lifshitz minimisation problem in micromagnetics leads to a degenerate variational problem. Therefore strong convergence of finite element approximations cannot be expected in general.
Wolfgang Boiger +5 more
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A rate of convergence in clustering analysis. [PDF]
We present a result about stochastic boundedness of stable empirical processes on Vapnik-Cervonenkis classes of functions and we apply it to obtain a rate of convergence for the approximation between the sample and the populational variation in the k ...
Romo, Juan
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Strong Convergence Theorems for Lipschitzian Demicontraction Semigroups in Banach Spaces
The purpose of this paper is to introduce and study the strong convergence problem of the explicit iteration process for a Lipschitzian and demicontraction semigroups in arbitrary Banach spaces.
Cho YeolJe +3 more
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On the Strong Convergence of Subgradients of Convex Functions
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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