Probability inequalities for sums of NSD random variables and applications

Ting Cai and Hong Chang Hu

Communications in Statistics - Theory and Methods, 2020, vol. 49, issue 2, 281-306

Abstract: In this paper, we obtain the exponential-type inequalities for maximal partial sums of negatively superadditive dependent (NSD) random variables, which extends the corresponding results for independent and negatively associated (NA) random variables. Using these inequalities, we further investigate the weak convergence of the M-estimators in the generalized linear model with NSD errors, which generalize and improve the corresponding results of the independent random errors to that of NSD random errors.

Date: 2020
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DOI: 10.1080/03610926.2018.1536211

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