12 citations · 18 across the 3 of their papers we have counts for
4 papers
Structural randomised selection
Fan Wang, Sylvia Richardson, Steven M. Hill
An important problem in the analysis of high-dimensional omics data is to identify subsets of molecular variables that are associated with a phenotype of interest. This requires ad…
High-dimensional regression in practice: an empirical study of finite-sample prediction, variable selection and ranking
Fan Wang, Sach Mukherjee, Sylvia Richardson +1
Penalized likelihood approaches are widely used for high-dimensional regression. Although many methods have been proposed and the associated theory is now well-developed, the relat…
Inferring network structure from interventional time-course experiments
Simon E. F. Spencer, Steven M. Hill, Sach Mukherjee
Graphical models are widely used to study biological networks. Interventions on network nodes are an important feature of many experimental designs for the study of biological netw…
Network-based clustering with mixtures of L1-penalized Gaussian graphical models: an empirical investigation
Steven M. Hill, Sach Mukherjee
In many applications, multivariate samples may harbor previously unrecognized heterogeneity at the level of conditional independence or network structure. For example, in cancer bi…