Precise Large Deviations of Random Sums in Presence of Negative Dependence and Consistent Variation

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On complete convergence for widely orthant-dependent random variables and its applications in nonparametric regression models (2014, background): “The concept of general extended negative dependence was proposed by Liu (2009), Liu (2010) and further promoted by Chen et al. (2010), Chen et al. (2011), Shen (2011), Shen (2013a), Wang and Cheng (2011), Wang and Wang (2012), and so forth.”
Bernstein-Type Inequality for Widely Dependent Sequence and Its Application to Nonparametric Regression Models (2013, unknown): “[33, 34], Shen [35],Wang andChen [18], S.”
Complete consistency for the estimator of nonparametric regression models based on extended negatively dependent errors (2015, background): “[6] obtained the precise large deviations of random sums in presence of negative dependence and consistent variation.”
The Strong Law of Large Numbers for Extended Negatively Dependent Random Variables (2010, background): “As a natural generalization of negative dependence, the concept of END was proposed in Liu (2009) and further promoted in Chen et al. (2010) in the study of precise large deviations.”