Geodesic
Complete convergence for weighted sums of widely negative dependent random variables under the sub-linear expectations
Filomat, Tome 37 (2023) no. 13, p. 4453

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DOI

In the paper, the complete convergence for weighted sums of arrays of rowwise widely negative dependent random variables under the sub-linear expectations is established. The main result partially extend some known results both in the classical probability space and sub-linear expectation space. In addition, it weaken their conditions.
DOI : 10.2298/FIL2313453L
Classification : 60F15
Keywords: Complete convergence, weighted sums, widely negative dependent random variables, sub-linear expectations 
Chang Liu; Qing Yin. Complete convergence for weighted sums of widely negative dependent random variables under the sub-linear expectations. Filomat, Tome 37 (2023) no. 13, p. 4453 . doi: 10.2298/FIL2313453L
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     title = {Complete convergence for weighted sums of widely negative dependent random variables under the sub-linear expectations},
     journal = {Filomat},
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     year = {2023},
     volume = {37},
     number = {13},
     doi = {10.2298/FIL2313453L},
     language = {en},
     url = {http://geodesic.mathdoc.fr/articles/10.2298/FIL2313453L/}
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