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stat.ME2009
Shrinkage Tuning Parameter Selection in Precision Matrices Estimation
Heng Lian
Recent literature provides many computational and modeling approaches for covariance matrices estimation in a penalized Gaussian graphical models but relatively little study has be…
stat.ME2009
Sparse Bayesian Hierarchical Modeling of High-dimensional Clustering Problems
Heng Lian
Clustering is one of the most widely used procedures in the analysis of microarray data, for example with the goal of discovering cancer subtypes based on observed heterogeneity of…
stat.ME2009★ 2 cited
Empirical Likelihood Confidence Intervals for Nonparametric Functional Data Analysis
Heng Lian
We consider the problem of constructing confidence intervals for nonparametric functional data analysis using empirical likelihood. In this doubly infinite-dimensional context, we…