49 citations · 181 across the 10 of their papers we have counts for
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stat.AP2019
A Semi-parametric Bayesian Approach to Population Finding with Time-to-Event and Toxicity Data in a Randomized Clinical Trial
Satoshi Morita, Peter Müller, Hiroyasu Abe
A utility-based Bayesian population finding (BaPoFi) method was proposed by Morita and Müller (2017, Biometrics, 1355-1365) to analyze data from a randomized clinical trial with th…
stat.CO2019★ 1 cited
Consensus Monte Carlo for Random Subsets using Shared Anchors
Yang Ni, Yuan Ji, Peter Mueller
We present a consensus Monte Carlo algorithm that scales existing Bayesian nonparametric models for clustering and feature allocation to big data. The algorithm is valid for any pr…