Model selection in multivariate semiparametric regression remains a challenge,especially for longitudinal data.We propose a model selection procedure that s
Monitoring and evaluation of the effectiveness of HIV treatment programs involves esti-mating precisely the clinical outcome of their clients.These efforts
In this work,we study the large approximate factor model where the cross-section dimension and the time dimension are both large.We revisit the existing est
Motivated by a study of muscular dystrophy in MD STARnet,a joint model of bivariate survival times and longitudinal data is developed.We propose to analyze
Compositional data arise naturally in many practical problems and the analysis of such data presents many statistical challenges,especially in high dimensio
Bivariate survival data often arise in medical research in the forms of events observed from studies on siblings or multiple diseases experienced by the sam
Due to the increased demand for statistical work and availability of data in the world to-day,end-users of statistical analyses come from a wider range of b