David B. Dunson

Distributed Bayesian clustering

2020 · arXiv (Cornell University)

In many modern applications, there is interest in analyzing enormous data sets that cannot be easily moved across computers or loaded into memory on a single computer. In such settings, it is very common to …

Bayesian Spanning Tree: Estimating the Backbone of the Dependence Graph

2021 · arXiv (Cornell University)

In multivariate data analysis, it is often important to estimate a graph characterizing dependence among (p) variables. A popular strategy uses the non-zero entries in a (p\times p) covariance or precision matrix, typically requiring restrictive …

Classification Trees for Imbalanced Data: Surface-to-Volume Regularization

2021 · Journal of the American Statistical Association

Classification algorithms face difficulties when one or more classes have limited training data. We are particularly interested in classification trees, due to their interpretability and flexibility. When data are limited in one or more of …