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1 Introduction Optimal design of statistical experiments lies at the intersection of optimization and statistics, focusing on developing efficient data acquisition methods (e.g., [1-5]). It aims to select an experiment that, under various constraints, minimizes the uncertainty in parameter estimates of an underlying statistical model or a function thereof, potentially leading to more reliable inference or prediction.
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