SENECA uses a novel self-consistent missing mass calculation to improve discrete entropy estimates in small-sample regimes and outperforms alternatives in numerical tests.
Small-Sample Estimation of the Mutational Support and Distribution of SARS-CoV-2.IEEE/ACM Transactions on Computational Biology and Bioinformatics, 20(1):668–682, 2022
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SENECA: Small-Sample Discrete Entropy Estimation via Self-Consistent Missing Mass
SENECA uses a novel self-consistent missing mass calculation to improve discrete entropy estimates in small-sample regimes and outperforms alternatives in numerical tests.