Strong laws for blockwise \(\mathcal M\)-dependent random fields
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Publication:939132
DOI10.1007/s10959-007-0127-5zbMath1152.60031OpenAlexW2091904576MaRDI QIDQ939132
Monika Thalmaier, Ulrich Stadtmüller, Ferenc Móricz
Publication date: 21 August 2008
Published in: Journal of Theoretical Probability (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10959-007-0127-5
Related Items (17)
Convergence in mean for double arrays of \(M\)-pairwise negatively dependent random variables ⋮ On the strong limit theorems for double arrays of blockwise \(M\)-dependent random variables ⋮ Inequalities for sums of adapted random fields in Banach spaces and their application to strong law of large numbers ⋮ Strong laws of large numbers for double arrays of blockwise \(M\)-dependent random sets ⋮ On strong law for blockwise \(M\)-orthogonal random fields ⋮ Characterization of the convergence of weighted averages of sequences and functions ⋮ Redundancy in Gaussian random fields ⋮ Estimation and inference of change points in high-dimensional factor models ⋮ On the almost sure convergence for dependent random vectors in Hilbert spaces ⋮ Strong laws of large numbers for adapted arrays of set-valued and fuzzy-valued random variables in Banach space ⋮ Some strong laws of large numbers for blockwise martingale difference sequences in martingale type \(p\) Banach spaces ⋮ Strong laws for blockwise martingale difference arrays in Banach spaces ⋮ A Hájek-Rényi-type maximal inequality and strong laws of large numbers for multidimensional arrays ⋮ On complete convergence in mean for double sums of independent random elements in Banach spaces ⋮ Strong laws of large numbers for arrays of random variables and stable random fields ⋮ Unnamed Item ⋮ Almost sure convergence for double arrays of block-wiseM-dependent random elements in Banach spaces
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