In today’s world, because of the advanced technology, the researchers have access to ultrahigh dimensional data and an efficient statistical methodology is required to analyze such “big-datasets”. This problem is more serious and challenging now than it was perhaps a decade ago. Data cleaning, variable selections, clustering etc., the socalled standard methodologies for data analysis are being modified for high-dimensional case now. New datasets are motivating the researchers to develop advanced methods to handle such situations. For example, the successful completion of Human Genome Project (2003) and its derivative Hapmap Project (2005) have made a revolution in the genetic research and biomedical sciences in recent years. The focus in genetic research has dramatically changed from single gene mapping problems to Genome-Wide Association Studies (GWAS).