Review
Sep 2026
A Conditional-Distribution Framework for Validating Synthetic Multivariate Data
A model-agnostic framework based on full conditional distributions distinguishes three statistically different failure modes: loss of dependence, record reuse, and mode concentration, and provides a principled basis for validating synthetic health, surveillance, and population data.
H. Dahal, Ishanu Chattopadhyay
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