1 citations · 1 across the 2 of their papers we have counts for
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A generalized Bayes framework for probabilistic clustering
Tommaso Rigon, Amy H. Herring, David B. Dunson
Loss-based clustering methods, such as k-means and its variants, are standard tools for finding groups in data. However, the lack of quantification of uncertainty in the estimated…
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…
Centered Partition Process: Informative Priors for Clustering
Sally Paganin, Amy H. Herring, Andrew F. Olshan +1
There is a very rich literature proposing Bayesian approaches for clustering starting with a prior probability distribution on partitions. Most approaches assume exchangeability, l…
Bayesian Local Extrema Splines
Matthew W. Wheeler, David B. Dunson, Amy H. Herring
We consider the problem of shape restricted nonparametric regression on a closed set X ?\in R; where it is reasonable to assume the function has no more than H local extrema interi…