Unifying Summary Statistic Selection for Approximate Bayesian Computation
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Extracting low-dimensional summary statistics from large datasets is essential for efficient (likelihood-free) inference. We characterize three different classes of summaries and demonstrate their importance for correctly analyzing dimensionality reduction alg... ...