Mean convergence theorems for arrays of dependent random variables with applications to dependent bootstrap and non-homogeneous Markov chains

Cites Work

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Mean convergence theorems and weak laws of large numbers for weighted sums of dependent random variables
A note on two measures of dependence
Convergence in \(p\)-mean for arrays of random variables
On the weak laws of large numbers for sums of negatively associated random vectors in Hilbert spaces
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Convergence in \(r\)-mean of weighted sums of NQD random variables
Mean convergence theorems and weak laws of large numbers for weighted sums of random variables under a condition of weighted integrability
Negative association of random variables, with applications
Central limit theorem for triangular arrays of non-homogeneous Markov chains
Uniform asymptotics for the finite-time ruin probability of a dependent risk model with a constant interest rate
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On the asymptotic probability for the deviations of dependent bootstrap means from the sample mean
On weak laws of large numbers for maximal partial sums of pairwise independent random variables
Convergence Rate of the Dependent Bootstrapped Means
Some Concepts of Dependence
On a new concept of stochastic domination and the laws of large numbers

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