Geodesic
Complete $f$-moment convergence for weighted sums of WOD arrays with statistical applications
Kybernetika, Tome 59 (2023) no. 1, pp. 1-27.

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Complete $f$-moment convergence is much more general than complete convergence and complete moment convergence. In this work, we mainly investigate the complete $f$-moment convergence for weighted sums of widely orthant dependent (WOD, for short) arrays. A general result on Complete $f$-moment convergence is obtained under some suitable conditions, which generalizes the corresponding one in the literature. As an application, we establish the complete consistency for the weighted linear estimator in nonparametric regression models. Finally, some simulations are provided to show the numerical performance of theoretical results based on finite samples.
DOI : 10.14736/kyb-2023-1-0001
Classification : 60F15, 62G20
Keywords: widely orthant dependent arrays; weighted sums; complete $f$-moment convergence; complete convergence; nonparametric regression models; complete consistency 
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Chen, Xi; Tao, Xinran; Wang, Xuejun. Complete $f$-moment convergence for weighted sums of WOD arrays with statistical applications. Kybernetika, Tome 59 (2023) no. 1, pp. 1-27. doi : 10.14736/kyb-2023-1-0001. http://geodesic.mathdoc.fr/articles/10.14736/kyb-2023-1-0001/

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