Almost sure central limit theorems for strongly mixing and associated random variables.
Gonchigdanzan, Khurelbaatar (2002)
International Journal of Mathematics and Mathematical Sciences
Similarity:
Displaying similar documents to “Sharp equivalence between ρ- and τ-mixing coefficients”
Almost sure central limit theorems for strongly mixing and associated random variables.
An extension which is relatively twofold mixing but not threefold mixing
Thierry de la Rue (2004)
Colloquium Mathematicae
Similarity:
We give an example of a dynamical system which is mixing relative to one of its factors, but for which relative mixing of order three does not hold.
Mixing Properties of Substitutions
F. M. Dekking, M. Keane (1976)
Publications mathématiques et informatique de Rennes
Similarity:
Central limit theorem for sampled sums of dependent random variables
Nadine Guillotin-Plantard, Clémentine Prieur (2010)
ESAIM: Probability and Statistics
Similarity:
We prove a central limit theorem for linear triangular arrays under weak dependence conditions. Our result is then applied to dependent random variables sampled by a -valued transient random walk. This extends the results obtained by [N. Guillotin-Plantard and D. Schneider, (2003) 477–497]. An application to parametric estimation by random sampling is also provided.
On the strong laws for weighted sums of -mixing random variables.
Zhou, Xing-Cai, Tan, Chang-Chun, Lin, Jin-Guan (2011)
Journal of Inequalities and Applications [electronic only]
Similarity:
Strong laws of large numbers for arrays of rowwise -mixing random variables.
Zhu, Meng-Hu (2007)
Discrete Dynamics in Nature and Society
Similarity:
Strong result for real zeros of random algebraic polynomials.
Uno, T. (2001)
Journal of Applied Mathematics and Stochastic Analysis
Similarity:
Complete convergence of weighted sums for arrays of rowwise -mixing random variables
Xinghui Wang, Xiaoqin Li, Shuhe Hu (2014)
Applications of Mathematics
Similarity:
In this paper, we establish the complete convergence and complete moment convergence of weighted sums for arrays of rowwise -mixing random variables, and the Baum-Katz-type result for arrays of rowwise -mixing random variables. As an application, the Marcinkiewicz-Zygmund type strong law of large numbers for sequences of -mixing random variables is obtained. We extend and complement the corresponding results of X. J. Wang, S. H. Hu (2012).
Strongly consistent estimation in dependent errors-in-variables
Michal Pešta (2011)
Acta Universitatis Carolinae. Mathematica et Physica
Similarity:
Strong approximation for set-indexed partial sum processes via KMT constructions III
Rio Emmanuel (1997)
ESAIM: Probability and Statistics
Similarity: