Weak law of large numbers for arrays of random variables
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Publication:1962177
DOI10.1016/S0167-7152(98)00219-3zbMath0948.60018OpenAlexW2083989933MaRDI QIDQ1962177
Publication date: 19 November 2000
Published in: Statistics \& Probability Letters (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/s0167-7152(98)00219-3
Martingales with discrete parameter (60G42) Central limit and other weak theorems (60F05) (L^p)-limit theorems (60F25)
Related Items (12)
On conditional compactly uniform \(p\)th-order integrability of random elements in Banach spaces ⋮ Characterization of typep Banach spaces by the weak law of large numbers ⋮ A CLT for martingale transforms with infinite variance ⋮ L^r 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 ⋮ Asymptotic inference for \(\mathrm{AR}(1)\) panel data ⋮ Mixture inner product spaces and their application to functional data analysis ⋮ Mean convergence theorems for weighted sums of random variables under a condition of weighted integrability ⋮ Convergence of randomly weighted sums of Banach space valued random elements and uniform integrability concerning the random weights ⋮ Weak laws of large numbers for arrays of dependent random variables ⋮ Some limit theorems for weighted sums of random variable fields ⋮ Conditional mean convergence theorems of conditionally dependent random variables under conditions of integrability
Cites Work
- Unnamed Item
- Complete convergence of moving average processes under dependence assumptions
- The weak law of large numbers for arrays
- Complete convergence of moving average processes
- On the weak law of large numbers for arrays
- Moving average and complete convergence
- On the integrability of the martingale square function
- Martingale Transforms
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