most citedGeneration and analysis of synthetic data via Bayesian networks: a robust approach for uncertainty quantification via Bayesian paradigm

2 citations · 2 across the 1 of their papers we have counts for

collaborators
Showing stat.MEShow all

1 paper · 1 filter

stat.ME2024★ 2 cited

Generation and analysis of synthetic data via Bayesian networks: a robust approach for uncertainty quantification via Bayesian paradigm

Larissa N. A. Martins, Flávio B. Gonçalves, Thais P. Galletti

Safe and reliable disclosure of information from confidential data is a challenging statistical problem. A common approach considers the generation of synthetic data, to be disclos…