At the International Society for Bayesian Analysis (ISBA) 2021 World Meeting, multiple Duke Statistical Science PhD students were among the 21 selected to receive the “Best Student/Postdoc Contributed Paper Award”. The awards are sponsored by the National Science Foundation. Each award is accompanied by a monetary prize and a certificate. The StaSci winners’ contributions are listed below.
Alessandro Zito (Current PhD student at Duke Statistical Science)
Bayesian modeling of sequential discoveries
Bora Jin (Current PhD student at Duke Statistical Science)
Bag of DAGs: flexible and scalable modelling of spatiotemporal dependence
Naoki Awaya (Current PhD student at Duke Statistical Science)
Tree boosting for learning probability measures
Zhuoqun Wang (Current PhD student at Duke Statistical Science)
Logistic-tree normal model for microbiome compositions
Willem van den Boom (PhD ’18, currently Postdoc at National University of Singapore)
Statistical Science