58 citations · 172 across the 16 of their papers we have counts for
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math.ST2012
Asymptotically optimal nonparametric empirical Bayes via predictive recursion
Ryan Martin
An empirical Bayes problem has an unknown prior to be estimated from data. The predictive recursion (PR) algorithm provides fast nonparametric estimation of mixing distributions an…
math.ST2012★ 5 cited
On convergence rates of Bayesian predictive densities and posterior distributions
Ryan Martin, Liang Hong
Frequentist-style large-sample properties of Bayesian posterior distributions, such as consistency and convergence rates, are important considerations in nonparametric problems. In…
stat.ME2012★ 4 cited
Optimal inferential models for a Poisson mean
Ryan Martin, Duncan Ermini Leaf, Chuanhai Liu
Statistical inference on the mean of a Poisson distribution is a fundamentally important problem with modern applications in, e.g., particle physics. The discreteness of the Poisso…