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math.ST2015★ 2 cited
Identifiability of directed Gaussian graphical models with one latent source
Dennis Leung, Mathias Drton, Hisayuki Hara
We study parameter identifiability of directed Gaussian graphical models with one latent variable. In the scenario we consider, the latent variable is a confounder that forms a sou…
math.ST2015★ 1 cited
Laplace Approximation in High-dimensional Bayesian Regression
Rina Foygel Barber, Mathias Drton, Kean Ming Tan
We consider Bayesian variable selection in sparse high-dimensional regression, where the number of covariates may be large relative to the samples size , but at most a moder…