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Xie, J., Yan, X. and Tang, N. (2021) A Model-Averaging Method for High-Dimensional Regression with Missing Responses At Random. Statistica Sinica, 31, 1005-1026.
https://doi.org/10.5705/ss.202018.0297

has been cited by the following article:

• TITLE: Cross Validation Based Model Averaging for Varying-Coefficient Models with Response Missing at Random

  AUTHORS: Huixin Li, Xiuli Wang

  KEYWORDS: Response Missing at Random, Model Averaging, Asymptotic Optimality, B-Spline Approximation

  JOURNAL NAME: Journal of Applied Mathematics and Physics, Vol.12 No.3, March 25, 2024

  ABSTRACT: In this paper, a model averaging method is proposed for varying-coefficient models with response missing at random by establishing a weight selection criterion based on cross-validation. Under certain regularity conditions, it is proved that the proposed method is asymptotically optimal in the sense of achieving the minimum squared error.