30 citations · 119 across the 39 of their papers we have counts for
12 papers · 1 filter
Random orthogonal matrices and the Cayley transform
Michael Jauch, Peter D. Hoff, David B. Dunson
Random orthogonal matrices play an important role in probability and statistics, arising in multivariate analysis, directional statistics, and models of physical systems, among oth…
Bayesian Distance Clustering
Leo L Duan, David B Dunson
Model-based clustering is widely-used in a variety of application areas. However, fundamental concerns remain about robustness. In particular, results can be sensitive to the choic…
Bayesian Modular and Multiscale Regression
Michele Peruzzi, David B. Dunson
We tackle the problem of multiscale regression for predictors that are spatially or temporally indexed, or with a pre-specified multiscale structure, with a Bayesian modular approa…
Maximum Pairwise Bayes Factors for Covariance Structure Testing
Kyoungjae Lee, Lizhen Lin, David Dunson
Hypothesis testing of structure in covariance matrices is of significant importance, but faces great challenges in high-dimensional settings. Although consistent frequentist one-sa…
Tensor network factorizations: Relationships between brain structural connectomes and traits
Zhengwu Zhang, Genevera I. Allen, Hongtu Zhu +1
Advanced brain imaging techniques make it possible to measure individuals' structural connectomes in large cohort studies non-invasively. The structural connectome is initially sha…
Bayesian Higher Order Hidden Markov Models
Abhra Sarkar, David B. Dunson
We consider the problem of flexible modeling of higher order hidden Markov models when the number of latent states and the nature of the serial dependence, including the true order…