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

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

Cited by 2 publications

References 19 publications

Sharp sufficient conditions for mean convergence of the maximal partial sums of dependent random variables with general norming sequences

Sharp sufficient conditions for mean convergence of the maximal partial sums of dependent random variables with general norming sequences

On Mean Convergence for the Partial Sums from Arrays of Rowwise and Pairwise $$M_{N}$$-Negatively Dependent Random Variables

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