11 citations · 16 across the 4 of their papers we have counts for
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math.ST2019
On perfectness in Gaussian graphical models
Arash A. Amini, Bryon Aragam, Qing Zhou
Knowing when a graphical model is perfect to a distribution is essential in order to relate separation in the graph to conditional independence in the distribution, and this is par…
math.ST2018
Identifiability of Nonparametric Mixture Models and Bayes Optimal Clustering
Bryon Aragam, Chen Dan, Eric P. Xing +1
Motivated by problems in data clustering, we establish general conditions under which families of nonparametric mixture models are identifiable, by introducing a novel framework in…