The application of adaptive group LASSO imputation method with missing values in personal income compositional data

The application of adaptive group LASSO imputation method with missing values in personal income compositional data

Abstract From social and economic perspectives, compositional data represent the proportions of various components within a whole, carrying non-negative values and providing only relative information. However, in many circumstances, there are often a significant number of missing values in datasets....

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Bibliographic Details
Main Authors: Ying Tian, Majid Khan Majahar Ali, Lili Wu
Format: Article
Language:English
Published: SpringerOpen 2024-11-01
Series:Journal of Big Data
Subjects:
Missing values
Compositional data
Imputation methods
Adaptive group LASSO
Personal income
Online Access:https://doi.org/10.1186/s40537-024-01009-1
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https://doi.org/10.1186/s40537-024-01009-1

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