Precise large deviations for random sums of END real-valued random variables with consistent variation
By Shijie Wang, Xuejun Wang. 2013
58 citations recorded by the source corpus.
Subfields: Demography, Management Science and Operations Research, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/587167abff8114f465275b6edb9a7d4ade23691d
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In Demography
In Management Science and Operations Research
In Statistics and Probability
Citations in the corpus
- Complete convergence for weighted sums of END random variables and its application to nonparametric regression models (2016, background): “For more details about END random variables, one can refer to Chen, Chen, and Ng (2010), Shen (2011), Wu and Guan (2012), Wang and Wang (2013), Qiu, Chen, Antonini, and Volodin (2013), Wang, Hu, Volodin, and Hu (2013a), Wang, Wang, Hu, Ling, and Wei (2013b), Wang, Zheng, Xu, and Hu (2015), Hu,…”
- Complete consistency for the estimator of nonparametric regression models based on extended negatively dependent errors (2015, background): “Qiu et al. [11] and Wang et al. [12,13] provided some results on complete convergence for arrays of rowwise END random variables.”
- Exponential probability inequalities for WNOD random variables and their applications (2016, background): “There are only some literatures studying the probability limiting behavior of WNOD random variables, such as Wang et al. [23], Wang and Cheng [34], Wang et al. [35], Liu et al. [10], Chen et al. [4], Shen [19], Qiu and Chen [12], Qiu and Hu [14], Wang et al. [31], Yang et al. [43], and so on.”