A Noise-Aware Multiple Imputation Algorithm for Missing Data

A Noise-Aware Multiple Imputation Algorithm for Missing Data

Missing data is a common and inevitable phenomenon. In practical applications, the datasets usually contain noises for various reasons. Most of the existing missing data imputing algorithms are affected by noises which reduce the accuracy of the imputation. This paper proposes a noise-aware missing...

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Bibliographic Details
Main Authors: Fangfang Li, Hui Sun, Yu Gu, Ge Yu
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Mathematics
Subjects:
noise-aware
missing data
multiple imputation
regression prediction
Markov chain
Online Access:https://www.mdpi.com/2227-7390/11/1/73

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