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On almost sure convergence of asymptotic martingales
1993Summary: The aim of this paper is to give a characterization of almost sure convergence for sequences of random variables, which do not necessarily have first moments. An example of such characterization was given by \textit{I. A. Dzhvarsheishvili} [Theory Probab. Appl. 33, 260-269 (1988)], where a notion of a \(D_v\)-amart was introduced. We show that
Kruk, Łukasz, Zięba, Wiesław (1950- )
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On the Asymptotic Linear Convergence Speed of Anderson Acceleration Applied to ADMM
Journal of Scientific Computing, 2021Yunhui He, Hans De Sterck
exaly
Linear Asymptotic Convergence of Anderson Acceleration: Fixed-Point Analysis
SIAM Journal on Matrix Analysis and Applications, 2022Hans De Sterck, Yunhui He
exaly
Convergence rates and asymptotic normality for series estimators
Journal of Econometrics, 1997Whitney K Newey
exaly
Asymptotic convergence of an SMO algorithm without any assumptions
IEEE Transactions on Neural Networks, 2002Chih-Jen Lin
exaly
Convergence of univariate non-stationary subdivision schemes via asymptotic similarity
Computer Aided Geometric Design, 2015Costanza Conti, N Dyn, Carla Manni
exaly
Asymptotic Variance and Convergence Rates of Nearly-Periodic Markov Chain Monte Carlo Algorithms
Journal of the American Statistical Association, 2003Jeffrey S Rosenthal
exaly

