5 citations · 7 across the 3 of their papers we have counts for
3 papers
stat.ML2019★ 1 cited
Sampling for Bayesian Mixture Models: MCMC with Polynomial-Time Mixing
Wenlong Mou, Nhat Ho, Martin J. Wainwright +2
We study the problem of sampling from the power posterior distribution in Bayesian Gaussian mixture models, a robust version of the classical posterior. This power posterior is kno…
math.ST2019★ 1 cited
On posterior contraction of parameters and interpretability in Bayesian mixture modeling
Aritra Guha, Nhat Ho, XuanLong Nguyen
We study posterior contraction behaviors for parameters of interest in the context of Bayesian mixture modeling, where the number of mixing components is unknown while the model it…
math.ST2015★ 5 cited
Identifiability and optimal rates of convergence for parameters of multiple types in finite mixtures
Nhat Ho, XuanLong Nguyen
This paper studies identifiability and convergence behaviors for parameters of multiple types in finite mixtures, and the effects of model fitting with extra mixing components. Fir…