Abstract
Efron's elegant approach to g-modeling for empirical Bayes problems is contrasted with an implementation of the Kiefer-Wolfowitz nonparametric maximum likelihood estimator for mixture models for several examples. The latter approach has the advantage that it is free of tuning parameters and consequently provides a relatively simple complementary method.
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APA
Koenker, R., & Gu, J. (2019). Comment: Minimalist g-modeling. Statistical Science, 34(2), 209–213. https://doi.org/10.1214/19-STS706
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