Weak Laws of Large Numbers for sequences of random variables with infinite rth moments

2018 ◽  
Vol 156 (2) ◽  
pp. 408-423
Author(s):  
L. V. Dung ◽  
T. C. Son ◽  
N. T. H. Yen
2009 ◽  
Vol 79 (23) ◽  
pp. 2405-2414 ◽  
Author(s):  
Yanjiao Meng ◽  
Zhengyan Lin

2020 ◽  
Author(s):  
Yu-Lin Chou

By a $moderate$ $law$ $of$ $large$ $numbers$ we mean any theorem whose conclusion includes the $L^{p}$-vanishment of the sequence of the sample means of some centered random variables with $1 \leq p < +\infty$ given.Given any $1 \leq p < +\infty$ and any $\eps > 0$,we prove a moderate law of large numbers for $L^{p+\eps}$-bounded random variables that obey a weak law.Thus our moderate laws in particular complement those obtained from the martingale theory,and establish the counterintuitive fact that (for$L^{p+\eps}$-bounded random variables) where there is a weak law there is a moderate law.


2017 ◽  
Vol 58 (3-4) ◽  
pp. 455-463
Author(s):  
YAN-JIAO MENG

The $L_{r}$ convergence and a class of weak laws of large numbers are obtained for sequences of $\widetilde{\unicode[STIX]{x1D70C}}$-mixing random variables under the uniform Cesàro-type condition. This is weaker than the $p$th-order Cesàro uniform integrability.


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