Gábor J. Székely
From Wikipedia, the free encyclopedia
Gábor J. Székely (Hungarian pronunciation: [ˈseːkɛj]; born February 4, 1947, in Budapest) is a Hungarian-American statistician/mathematician best known for introducing energy statistics (E-statistics).[1][2] Examples include: the distance correlation,[3][4][5] which is a bona fide dependence measure, equals zero exactly when the variables are independent; the distance skewness, which equals zero exactly when the probability distribution is diagonally symmetric;[6][7] the E-statistic for normality test;[8] and the E-statistic for clustering.[9]
Gábor J. Székely | |
---|---|
Born | (1947-02-04) 4 February 1947 (age 77) |
Alma mater | Eötvös Loránd University |
Scientific career | |
Fields | Mathematician, Probabilist, Statistician |
Institutions | National Science Foundation Hungarian Academy of Sciences |
Doctoral advisor | Alfréd Rényi |
Other important discoveries include the Hungarian semigroups,[10][11][12] the location testing for Gaussian scale mixture distributions,[13] the uncertainty principle of game theory,[14] the half-coin[15] which involves negative probability, and the solution of an old open problem of lottery mathematics: in a 5-from-90 lotto the minimum number of tickets one needs to buy to guarantee that at least one of these tickets has (at least) 2 matches is exactly 100.[16]