4 citations · 10 across the 16 of their papers we have counts for
4 papers · 1 filter
Nonparametric IPSS: Fast, flexible feature selection with false discovery control
Omar Melikechi, David B. Dunson, Jeffrey W. Miller
Feature selection is a critical task in machine learning and statistics. However, existing feature selection methods either (i) rely on parametric methods such as linear or general…
Factor pre-training in Bayesian multivariate logistic models
Lorenzo Mauri, David B. Dunson
This article focuses on inference in logistic regression for high-dimensional binary outcomes. A popular approach induces dependence across the outcomes by including latent factors…
Exact Sampling of Spanning Trees via Fast-forwarded Random Walks
Edric Tam, David B. Dunson, Leo L. Duan
Tree graphs are routinely used in statistics. When estimating a Bayesian model with a tree component, sampling the posterior remains a core difficulty. Existing Markov chain Monte…
Blessing of dimension in Bayesian inference on covariance matrices
Shounak Chattopadhyay, Anru R. Zhang, David B. Dunson
Bayesian factor analysis is routinely used for dimensionality reduction in modeling of high-dimensional covariance matrices. Factor analytic decompositions express the covariance a…