In this paper, we consider the problem of estimating multiple Gaussian Graphical Models from high-dimensional datasets. We assume that these datasets are sampled different distributions with same conditional independence structure, but not precision matrix. propose jewel, a joint data estimation method uses node-wise penalized regression approach. particular, jewel group Lasso penalty to simult...

Clinical studies often collect longitudinal and time-to-event data for each subject. Joint modeling is a powerful methodology evaluating the association between these data. The existing models, however, have not sufficiently addressed problem of missing data, which are commonly encountered in studies. In this paper, we introduce novel joint model with shared random effects incomplete Our propos...