Nonparametric Generation of Synthetic Data Using Copulas

Nonparametric Generation of Synthetic Data Using Copulas

This article presents a novel nonparametric approach to generate synthetic data using copulas, which are functions that explain the dependency structure of the real data. The proposed method addresses several challenges faced by existing synthetic data generation techniques, such as the preservation...

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Bibliographic Details
Main Authors: Juan P. Restrepo, Juan Carlos Rivera, Henry Laniado, Pablo Osorio, Omar A. Becerra
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Electronics
Subjects:
synthetic data generation
data augmentation
homogeneity test
empirical copulas
nonparametric statistics
Online Access:https://www.mdpi.com/2079-9292/12/7/1601

Internet

https://www.mdpi.com/2079-9292/12/7/1601

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