Abstract. We present a novel approach to structure learning for graphical models. By using nonparametric estimates to model clique densities in decomposable models, both discrete a...
We show that Kolmogorov complexity and such its estimators as universal codes (or data compression methods) can be applied for hypothesis testing in a framework of classical mathe...
In an object-relational database management system, a query optimizer requires users to provide cost models of userdefined functions. The traditional approach is analytical, that...
The diffusion orientation transform (DOT) enables the computation of orientational probability profiles from high angular resolution diffusion-weighted magnetic resonance imaging ...
Background: Growing interest on biological pathways has called for new statistical methods for modeling and testing a genetic pathway effect on a health outcome. The fact that gen...