High-dimensional data: This term used for data sets which are characterized by the very large number of variables and a much more modest number of the observations. In the 21^st century\ such data sets are collected in number of areas, such as, text/web data mining and bioinformatics. The job of extracting meaningful statistical and biological information from such data sets present many challenges for which a number of recent methodological developments, for instance, sure screening methods, lasso, and Dantzig selector, might be quite helpful.