In imaging genomics, there have been rapid advances in genome-wide, image-wide searches for genes that influence brain structure. Most efforts focus on univariate tests that treat...
Derrek P. Hibar, Jason L. Stein, Omid Kohannim, Ne...
This paper discusses non-parametric regression between Riemannian manifolds. This learning problem arises frequently in many application areas ranging from signal processing, comp...
This paper investigates an efficient estimation method for a class of switching regressions based on the characteristic function (CF). We show that with the exponential weighting ...
Many participatory sensing applications use data collected by participants to construct a public model of a system or phenomenon. For example, a health application might compute a...
Hossein Ahmadi, Nam Pham, Raghu K. Ganti, Tarek F....
Background: DNA methylation has been shown to play an important role in the silencing of tumor suppressor genes in various tumor types. In order to have a system-wide understandin...