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JOURNALS // Teoriya Veroyatnostei i ee Primeneniya // Archive

Teor. Veroyatnost. i Primenen., 2024 Volume 69, Issue 4, Pages 760–779 (Mi tvp5643)

Limiting behaviours for weighted sums of $m$-WOD random variables under integrability assumptions

Wu Y.a, Xi M. M.b, Wang X. J.b

a School of Big Data and Artificial Intelligence, Center of Applied Mathematics, Chizhou University, Chizhou, P. R. China
b School of Big Data and Statistics, Anhui University, Hefei, P. R. China

Abstract: In this work, the $L_r$-convergence for weighted sums of $R$-$h$-integrable $m$-WOD random variables, the complete convergence, complete moment convergence, and complete $f$-moment convergence for weighted sums of $SR$-$h$-integrable $m$-WOD random variables are established, which improve and generalize some previously obtained results in the literature. As an application, the weak consistency of the wavelet estimator in nonparametric regression models is obtained under very general assumptions.

Keywords: $L_r$-convergence, complete convergence, complete moment convergence, complete $f$-moment convergence, weighted sum, $R$-$h$-integrability, $SR$-$h$-integrability, $m$-WOD random {variable}.

Received: 07.03.2023

DOI: 10.4213/tvp5643


 English version:
Theory of Probability and its Applications, 2025, 69:4, 605–621

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© Steklov Math. Inst. of RAS, 2025