30 citations · 119 across the 39 of their papers we have counts for
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math.ST2021★ 1 cited
Gaussian Process Subspace Regression for Model Reduction
Ruda Zhang, Simon Mak, David Dunson
Subspace-valued functions arise in a wide range of problems, including parametric reduced order modeling (PROM). In PROM, each parameter point can be associated with a subspace, wh…
stat.ME2021★ 3 cited
Bayesian Spanning Tree: Estimating the Backbone of the Dependence Graph
Leo L. Duan, David B. Dunson
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…
stat.AP2021★ 1 cited
Closer than they appear: A Bayesian perspective on individual-level heterogeneity in risk assessment
Kristian Lum, David B. Dunson, James Johndrow
Risk assessment instruments are used across the criminal justice system to estimate the probability of some future behavior given covariates. The estimated probabilities are then u…