Complete convergence for randomly weighted sums of dependent random variables and an application

Cites Work

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Almost sure and complete convergence of randomly weighted sums of independent random elements in Banach spaces
On complete convergence and complete moment convergence for weighted sums of $\rho^\ast$-mixing random variables
Complete convergence for randomly weighted sums of random variables satisfying some moment inequalities
Complete convergence for weighted sums of $\rho \ast $-mixing random variables
Bootstrap methods: another look at the jackknife
On the limiting behavior of randomly weighted partial sums
On the strong law of large numbers and the law of the logarithm for weighted sums of independent random variables with multidimensional indices
A comparison theorem on moment inequalities between negatively associated and independent random variables
SLLN for weighted independent identically distributed random variables
Negative association of random variables, with applications
A strong law for weighted sums of i.i.d. random variables
Strong convergence properties for weighted sums of $m$-asymptotic negatively associated random variables and statistical applications
Complete $f$-moment convergence for Sung's type weighted sums and its application to the EV regression models
Strong laws for weighted sums of $m$-extended negatively dependent random variables and its applications
Asymptotics of randomly weighted image- and image-statistics: application to bootstrap
Complete convergence of randomly weighted END sequences and its application
Complete moment convergence for weighted sums of weakly dependent random variables and its application in nonparametric regression model
Random graphs and the strong convergence of bootstrap means
State Observers with Random Sampling Times and Convergence Analysis of Double-Indexed and Randomly Weighted Sums of Mixing Processes
Complete moment convergence for double-indexed randomly weighted sums and its applications
Strong laws for randomly weighted sums of random variables and applications in the bootstrap and random design regression
Inequalities for the $r$th Absolute Moment of a Sum of Random Variables, $1 \leqq r \leqq 2$
Convergence Rates in the Law of Large Numbers
Some Concepts of Dependence
Complete Convergence and the Law of Large Numbers
On a Theorem of Hsu and Robbins

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