Thomas Shelburne Ferguson (born December 14, 1929) is an American mathematician and statistician. He is a professor emeritus of mathematics and statistics at the University of California, Los Angeles.[1]
Education and career
Ferguson was born in Oakland, California and was raised nearby in Alameda, California. He majored in mathematics at the University of California, Berkeley, and completed his Ph.D. there in 1956.[1] His dissertation had two separately-titled parts, On Existence of Linear Regression in Linear Structural Relations and A Method of Generating Best Asymptotically Normal Estimates with Application to the Estimation of Bacterial Densities; it was supervised by Lucien Le Cam.[2]
After another year teaching at Berkeley, he moved to the University of California, Los Angeles in 1957.[1]
Contributions
Ferguson is the author of:
Mathematical Statistics: A Decision Theoretic Approach (Academic Press, 1967)[3]
A Course in Large Sample Theory (Chapman & Hall, 1996)[4]
A Course in Game Theory (World Scientific, 2020)[5]
Ferguson married mathematician Beatriz Rossello, and is the father of poker player Chris Ferguson.[1][7] He has coauthored papers with Chris Ferguson on the mathematics of poker and other games of chance.
References
^ abcdefghiBruss, F. Thomas; Le Cam, Lucien Marie, eds. (2000), "Biography", Game Theory, Optimal Stopping, Probability and Statistics: Papers in Honor of Thomas S. Ferguson, Institute of Mathematical Statistics Lecture Notes, vol. 35, Institute of Mathematical Statistics, ISBN9780940600485
Stone, M. (1968), Journal of the Royal Statistical Society. Series A (General), 131 (2): 232, doi:10.2307/2343847, JSTOR2343847{{citation}}: CS1 maint: untitled periodical (link)