8 citations · 10 across the 4 of their papers we have counts for
3 papers · 1 filter
Separate Exchangeability as Modeling Principle in Bayesian Nonparametrics
Giovanni Rebaudo, Qiaohui Lin, Peter Mueller
We argue for the use of separate exchangeability as a modeling principle in Bayesian nonparametric (BNP) inference. Separate exchangeability is \emph{de facto} widely applied in th…
A Unified Decision Framework for Phase I Dose-Finding Designs
Yunshan Duan, Shijie Yuan, Yuan Ji +1
The purpose of a phase I dose-finding clinical trial is to investigate the toxicity profiles of various doses for a new drug and identify the maximum tolerated dose. Over the past…
Bayesian Scalable Precision Factor Analysis for Massive Sparse Gaussian Graphical Models
Noirrit Kiran Chandra, Peter Mueller, Abhra Sarkar
We propose a novel approach to estimating the precision matrix of multivariate Gaussian data that relies on decomposing them into a low-rank and a diagonal component. Such decompos…