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Cross-validation-based model averaging in linear models with response missing at random

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  • Wei, Yuting
  • Wang, Qihua

Abstract

In this paper, a model average approach is developed for linear models with response missing at random by establishing a cross-validation-based weight choice criterion. Its asymptotical optimality is proved and its finite-sample performance is investigated by simulations.

Suggested Citation

  • Wei, Yuting & Wang, Qihua, 2021. "Cross-validation-based model averaging in linear models with response missing at random," Statistics & Probability Letters, Elsevier, vol. 171(C).
    • Handle: RePEc:eee:stapro:v:171:y:2021:i:c:s0167715220302935
    DOI: 10.1016/j.spl.2020.108990
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    References listed on IDEAS

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    Cited by:

    1. Guozhi Hu & Weihu Cheng & Jie Zeng, 2023. "Optimal Model Averaging for Semiparametric Partially Linear Models with Censored Data," Mathematics, MDPI, vol. 11(3), pages 1-21, February.

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