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stat.ME2026
Bayesian optimal experimental design with Wasserstein information criteria
Tapio Helin, Youssef Marzouk, Jose Rodrigo Rojo-Garcia
Bayesian optimal experimental design (OED) provides a principled framework for selecting observations or experiments. We introduce new Bayesian design criteria based on the expecte…
stat.ME2026
Batch-based Bayesian Optimal Experimental Design in Linear Inverse Problems
Sofia Mäkinen, Andrew B. Duncan, Tapio Helin
Experimental design is central to science and engineering. A ubiquitous challenge is how to maximize the value of information obtained from expensive or constrained experimental se…