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math.ST2014★ 2 cited
On Approximations of the Beta Process in Latent Feature Models
Luai Al Labadi, Mahmoud Zarepour
The beta process has recently been widely used as a nonparametric prior for different models in machine learning, including latent feature models. In this paper, we prove the asymp…
math.ST2014★ 10 cited
Two-sample Bayesian nonparametric goodness-of-fit test
Luai Al Labadi, Emad Masuadi, Mahmoud Zarepour
In recent years, Bayesian nonparametric statistics has gathered extraordinary attention. Nonetheless, a relatively little amount of work has been expended on Bayesian nonparametric…
math.ST2011
The Dirichlet Process with Large Concentration Parameter
Luai Al Labadi, Mahmoud Zarepour
Ferguson's Dirichlet process plays an important role in nonparametric Bayesian inference. Let be the Dirichlet process in with a base probability measure and…