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The Frontiers of Society, Science and Technology, 2022, 4(9); doi: 10.25236/FSST.2022.040910.

Broad View of Computational Statistics


Ruiying Li1, Fan Yan2

Corresponding Author:
Ruiying Li

1School of WMG, University of Warwick, Coventry, CV4 7AL, United Kingdom

2School of Finance and Economics, Shanghai University, Shanghai, 200083, China


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.


Computational Statistics, Traditional Statistics, Monte Carlo Methods (MCM), Bootstrap Methods, Graphical Methods, Randomization Methods

Cite This Paper

Ruiying Li, Fan Yan. Broad View of Computational Statistics. The Frontiers of Society, Science and Technology (2022) Vol. 4, Issue 9: 44-48. https://doi.org/10.25236/FSST.2022.040910.


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