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stat.ME2021
Bayesian data selection
Eli N. Weinstein, Jeffrey W. Miller
Insights into complex, high-dimensional data can be obtained by discovering features of the data that match or do not match a model of interest. To formalize this task, we introduc…
stat.ME2021
Bayesian Optimal Experimental Design for Inferring Causal Structure
Michele Zemplenyi, Jeffrey W. Miller
Inferring the causal structure of a system typically requires interventional data, rather than just observational data. Since interventional experiments can be costly, it is prefer…