This paper is in the following e-collection/theme issue:

AI for Synthetic Data (1) Artificial Intelligence (1624) Foundation Models and Their Applications in AI (2) Generative Language Models Including ChatGPT (432) AI Data (15)

Published on in Vol 4 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/65729, first published .
Utility-based Analysis of Statistical Approaches and Deep Learning Models for Synthetic Data Generation With Focus on Correlation Structures: Algorithm Development and Validation

Utility-based Analysis of Statistical Approaches and Deep Learning Models for Synthetic Data Generation With Focus on Correlation Structures: Algorithm Development and Validation

Utility-based Analysis of Statistical Approaches and Deep Learning Models for Synthetic Data Generation With Focus on Correlation Structures: Algorithm Development and Validation

Authors of this article:

Marko Miletic1 Author Orcid Image ;   Murat Sariyar1 Author Orcid Image
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