methodology, which provides a road map for estimation and performance assessment. Given a parameter of interest which can be …, conditional density and hazard estimation, and we generalize it to censored outcomes such as survival. In the context of …

Current statistical inference problems in genomic data analysis involve parameter estimation for high … resulting estimator. This general estimation framework encompasses a number of problems which have traditionally been treated … separately in the statistical literature, including multivariate outcome prediction and density estimation based on either …