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math.ST2026
Regret-weighted Bayes Fusion for Distributed Experimental Design
Nagananda K G, Lav R. Varshney, Pramod R. Varshney
We study distributed experimental design with multiple candidate experiments, where local sites possess only partial information and transmit design recommendations to a fusion cen…
stat.AP2026
Distributed Experimental Design: Bayes-optimal Fusion of Local Designs
Nagananda K G, Lav R. Varshney, Pramod K. Varshney
We develop a decision-theoretic framework for distributed Bayesian experimental design in which local agents evaluate candidate experiments using expected information gain and tran…