30 citations · 119 across the 39 of their papers we have counts for
16 papers · 1 filter
Projected -SNE for batch correction
Emanuele Aliverti, Jeff Tilson, Dayne Filer +6
Biomedical research often produces high-dimensional data confounded by batch effects such as systematic experimental variations, different protocols and subject identifiers. Withou…
Identifying main effects and interactions among exposures using Gaussian processes
Federico Ferrari, David B. Dunson
This article is motivated by the problem of studying the joint effect of different chemical exposures on human health outcomes. This is essentially a nonparametric regression probl…
Perturbed factor analysis: Accounting for group differences in exposure profiles
Arkaprava Roy, Isaac Lavine, Amy H. Herring +1
In this article, we investigate group differences in phthalate exposure profiles using NHANES data. Phthalates are a family of industrial chemicals used in plastics and as solvents…
Targeted Random Projection for Prediction from High-Dimensional Features
Minerva Mukhopadhyay, David B. Dunson
We consider the problem of computationally-efficient prediction with high dimensional and highly correlated predictors when accurate variable selection is effectively impossible. D…
Geodesic Distance Estimation with Spherelets
Didong Li, David B Dunson
Many statistical and machine learning approaches rely on pairwise distances between data points. The choice of distance metric has a fundamental impact on performance of these proc…
Monte Carlo simulation on the Stiefel manifold via polar expansion
Michael Jauch, Peter D. Hoff, David B. Dunson
Motivated by applications to Bayesian inference for statistical models with orthogonal matrix parameters, we present a general approach to Monte Carlo s…