We establish estimation and model selection consistency, prediction and estimation bounds
and persistence for the group-lasso estimator and model selector proposed by Yuan and …

We consider the problem of linear regression where the data are split up and held by different
parties. We conceptualize the existence of a single combined database containing all of …

The Lasso is a popular model selection and estimation procedure for linear models that
enjoys nice theoretical properties. In this paper, we study the Lasso estimator for fitting …

Background Cross-sectional studies have long suggested that renal function declines with
age. Longitudinal studies regarding this issue are limited. Methods We retrospectively …

Privacy-preserving data mining (PPDM) techniques aim to construct efficient data mining
algorithms while main- taining privacy. Statistical disclosure limitation (SDL) tech- niques aim to …

Motivated by the problem of testing for the existence of a signal of known parametric structure
and unknown “location” (as explained below) against a noisy background, we obtain for …

We define the group-lasso estimator for the natural parameters of the exponential families of
distributions representing hierarchical log-linear models under multinomial sampling …

Introduction C reactive protein (CRP) is an acute phase reactant that primarily produced by
hepatocytes yet may be locally expressed in renal tubular cells. We assessed the association …

Considerable effort has gone into understanding issues of privacy protection of individual
information in single databases, and various solutions have been proposed depending on the …

Research institutes such as Gartner and Forrester claim that the future of mobile will focus
around the user's context. Most of the future mobile applications will leverage user context to …