SLIDE 25 What is Statistics? What is Statistical Research? Paradigm Shifts in Statistics How did Robustness in Statistics Emerge? What has ’Robustness in Statistics’ delivered? What has ’Robustness in Statistics’ to do with CS?
Reading suggestions
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- D. Donoho (2017) 50 Years of Data Science, Journal of Computational and Graphical Statistics. Volume
26, 2017 - Issue 4 ◮
- RA. Fisher (1922). On the mathematical foundations of theoretical statistics Philosophical Transactions of
the Royal Society of London. Series A ◮ Frank R. Hampel Elvezio M. Ronchetti Peter J. Rousseeuw Werner A. Stahel, Robust Statistics: The Approach Based on Influence Functions, Wiley, 2nd ed 2005. ◮ Peter J Huber.(1982) Robust Statistics. Wiley. 2nd ed. w/E. Ronchetti (2009). ◮ Peter J Huber.(1997) “Speculations on the Path of Statistics,” in The Practice of Data Analysis, eds. D.
- R. Brillinger, L. T. Fernholz, and S. Morgenthaler, Princeton, NJ: Princeton University Press, pp. 175–191.
◮ Colin Mallows. (2006) Tukey’s paper after 40 years. Technometrics. 48 319-325. ◮ John W. Tukey The Future of Data Analysis. Ann. Math. Statist. 33 (1962), no. 1, 1–67. doi: David Donoho UCSD Robustness Summer School