Joint Nonparametric Precision Matrix Estimation with Confounding

16 Oct 2018Sinong GengMladen KolarOluwasanmi Koyejo

We consider the problem of precision matrix estimation where, due to extraneous confounding of the underlying precision matrix, the data are independent but not identically distributed. While such confounding occurs in many scientific problems, our approach is inspired by recent neuroscientific research suggesting that brain function, as measured using functional magnetic resonance imagine (fMRI), is susceptible to confounding by physiological noise such as breathing and subject motion... (read more)

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