Convergence in \(p\)-mean for arrays of random variables
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Publication:667550
DOI10.1007/s00025-019-0959-1zbMath1407.60046OpenAlexW2921577081MaRDI QIDQ667550
Publication date: 28 February 2019
Published in: Results in Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00025-019-0959-1
convergence in \(p\)-meanrow-wise pairwise negative quadrant dependent arrayrow-wise pairwise positive quadrant dependent array
Related Items (2)
Sharp sufficient conditions for mean convergence of the maximal partial sums of dependent random variables with general norming sequences ⋮ On the convergence of series of moments for row sums of random variables
Cites Work
- Almost sure convergence for weighted sums of extended negatively dependent random variables
- Mean convergence theorems and weak laws of large numbers for weighted sums of dependent random variables
- Mean convergence theorems for weighted sums of arrays of residually \(h\)-integrable random variables concerning the weights under dependence assumptions
- A Glivenko-Cantelli lemma and weak convergence for empirical processes of associated sequences
- Convergence in \(p\)-mean for arrays of row-wise extended negatively dependent random variables
- 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
- Some Concepts of Dependence
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