期刊文献+
共找到4篇文章
< 1 >
每页显示 20 50 100
Complete Convergence for Randomly Weighted Sums of Random Variables Satisfying Some Moment Inequalities
1
作者 Ping Yan CHEN Soo Hak SUNG 《Acta Mathematica Sinica,English Series》 SCIE CSCD 2021年第2期279-288,共10页
For random variables and random weights satisfying Marcinkiewicz-Zygmund and Rosenthal type moment inequalities, we establish complete convergence results for randomly weighted sums of the random variables. Our result... For random variables and random weights satisfying Marcinkiewicz-Zygmund and Rosenthal type moment inequalities, we establish complete convergence results for randomly weighted sums of the random variables. Our results generalize those of(Thanh et al. SIAM J. Control Optim., 49,106–124(2011), Han and Xiang J. Ineq. Appl., 2016, 313(2016), Li et al. J. Ineq. Appl., 2017, 182(2017), and Wang et al. Statistics, 52, 503–518(2018).) 展开更多
关键词 Randomly weighted sum complete convergence moment inequality
原文传递
Moment Bounds for Strong Mixing Sequences and Their Application 被引量:5
2
作者 杨善朝 《Journal of Mathematical Research and Exposition》 CSCD 2000年第3期349-359,共1页
Some moment inequalities for the strong mixing random variable sequence are established, and applied to discuss the asymptotic normality of the general weight function estimate for the fixed design regression mo... Some moment inequalities for the strong mixing random variable sequence are established, and applied to discuss the asymptotic normality of the general weight function estimate for the fixed design regression model. 展开更多
关键词 strong mixing moment inequality fixed design regression weight esti- mate asymptotic normality.
下载PDF
Maximal Moment Inequality for Partial Sums of Strong Mixing Sequences and Application 被引量:13
3
作者 Shah Chao YANG 《Acta Mathematica Sinica,English Series》 SCIE CSCD 2007年第6期1013-1024,共12页
Some maximal moment inequalities for partial sums of the strong mixing random variable sequence are established. These inequalities use moment sums as up-boundary and improve the corre- sponding ones obtained by Shao ... Some maximal moment inequalities for partial sums of the strong mixing random variable sequence are established. These inequalities use moment sums as up-boundary and improve the corre- sponding ones obtained by Shao (1996). To show the application of the inequalities, we apply them to discuss the asymptotic normality of the weight function estimate for the fixed design regression model. 展开更多
关键词 strong mixing maximal moment inequality fixed design regression model weight functionestimate asymptotic normality
原文传递
Moment Inequality and Hlder Inequality for BSDEs
4
作者 Sheng-jun Fan 《Acta Mathematicae Applicatae Sinica》 SCIE CSCD 2009年第1期11-20,共10页
Under the Lipschitz and square integrable assumptions on the generator g of BSDEs, this paper proves that if g is positively homogeneous in (y, z) and is decreasing in y, then the Moment inequality for BSDEs with ge... Under the Lipschitz and square integrable assumptions on the generator g of BSDEs, this paper proves that if g is positively homogeneous in (y, z) and is decreasing in y, then the Moment inequality for BSDEs with generator g holds in general, and if g is positively homogeneous and sub-additive in (y, z), then the HSlder inequality and Minkowski inequality for BSDEs with generator g hold in general. 展开更多
关键词 Backward stochastic differential equation moment inequality for bsdes hSlder inequality forbsdes minkowski inequality for BSDEs
原文传递
上一页 1 下一页 到第
使用帮助 返回顶部