This article includes a list of general references, but it lacks sufficient corresponding inline citations. (February 2013) |
Charles M. Stein | |
---|---|
Born | March 22, 1920 Brooklyn, New York, U.S. |
Died | November 24, 2016 (aged 96) Fremont, California, U.S. |
Alma mater | Columbia University University of Chicago |
Scientific career | |
Fields | Statistics |
Institutions | Stanford University |
Doctoral advisor | Abraham Wald |
Charles Max Stein (March 22, 1920 – November 24, 2016) was an American mathematical statistician and professor of statistics at Stanford University.
He received his Ph.D in 1947 at Columbia University with advisor Abraham Wald. He held faculty positions at Berkeley and the University of Chicago before moving permanently to Stanford in 1953. He is known for Stein's paradox in decision theory, which shows that ordinary least squares estimates can be uniformly improved when many parameters are estimated;[1] for Stein's lemma, giving a formula for the covariance of one random variable with the value of a function of another when the two random variables are jointly normally distributed; and for Stein's method, a way of proving theorems such as the Central Limit Theorem that does not require the variables to be independent and identically distributed.[2] He was a member of the National Academy of Sciences. He died in November 2016 at the age of 96.[3]
{{cite journal}}
: Cite journal requires |journal=
(help)