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}.
Supported by the National Social Science Foundation of China (22BTJ059), the National Natural Science Foundation of China (12201079, 12201600, 12471248), the Natural Science Foundation of Anhui
Province (2308085MA07), and the Postdoctoral Science Foundation of China (2022M713056).
Citation:
Wu Y., Xi M. M., Wang X. J., “Limiting behaviours for weighted sums of $m$-WOD random variables under integrability assumptions”, Teor. Veroyatnost. i Primenen., 69:4 (2024), 760–779; Theory Probab. Appl., 69:4 (2025), 605–621