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A Conditional-Distribution Framework for Validating Synthetic Multivariate Data
Statistical validation of synthetic multivariate data requires assessing whether a generator preserves the joint dependence structure of the target population without merely reproducing observed records. We develop a model-agnostic framework based on full conditional distributions. For each coordina
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