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
1 Institute for Optimisation and Data Analysis (IODA), Bern University of Applied Sciences, Biel, Switzerland