Skip to content

1 paper indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

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 · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.