Broad View of Computational Statistics

Abstract

The emergence of computational statistics could be identified as the second statistical revolution. From this point, the development of statistics depends on the advancement of computer science. This paper tried to summarise computational statistics from four sides: computational statistics drivers and motivations, the difference between computational statistics and traditional statistics characteristics, essential computational statistical techniques, and application and use cases. In particular, the critical computational statistical techniques section discussed Monte Carlo, bootstrap, graphical, and randomization methods.