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Gabor J Szekely : ウィキペディア英語版
Gábor J. Székely

Gábor J. Székely ((:ˈseːkɛj), born February 4, 1947 in Budapest) is a Hungarian-American statistician/mathematician best known for introducing E-statistics or energy statistics (E-statistics or ''Package energy'' in R (programming language) ), e.g. the distance correlation〔(Székely, Rizzo and Bakirov (2007) )〕〔Székely and Rizzo (2009).〕〔Newton, Michael, A.(2009) Introducing the discussion paper by Székely and Rizzo, Annals of Applied Statistics, 3/4, 1233-1236. (PDF )〕 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,〔Menshenin, D. O. and Zubkov, A.M.(2008) On the Székely-Móri asymmetry criterion, Austrian Journal of Statistics 37/1, 137-144.〕〔Henze, N.(1997) Limit laws for multivariate skewness in the sense of Móri, Rohatgi and Székely, Statistics&Probability Letters, 33/3, 299-307〕 the E-statistic for normality test〔Székely, G. J. and Rizzo, M. L. (2005) A new test for multivariate normality, Journal of Multivariate Analysis 93, 58-80.〕 and the E-statistic for clustering.〔Székely, G.J. and Rizzo, M. L. (2005) Hierarchical clustering via joint between-within distances: extending Ward’s minimum variance method, Journal of Classification 22 / 2, 151-183.〕 Other important discoveries include the Hungarian semigroups,〔Székely, G. J. and Ruzsa, I.Z. (1988) ''Algebraic Probability Theory'', Wiley.〕〔Raja, C.R.E. (1999) On a class of Hungarian semigroups and the factorization theorem of Khinchin, J. Theoretical Probability 12/2, 561-569.〕〔Zempléni, A. (1990) On the heredity of Hun and Hungarian property, J. Theoretical Probability 4/3, 599-609.〕 the location testing for Gaussian scale mixture distributions,〔Székely (2006).〕 the uncertainty principle of game theory,〔Székely, G. J. and Rizzo, M. L. (2007) The uncertainty principle of game theory, The Americal Mathematical Monthly, 8, 688-702.〕 the ''half-coin'' 〔Székely, G. J. (2005) Half of a coin: negative probabilities, Wilmott Magazine, July, 66-68.〕 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.〔 () (Reprint )〕
==Life and career==

Székely attended the Eötvös Loránd University, Hungary graduating in 1970. His first advisor was Alfréd Rényi. Székely received his Ph.D. in 1971 from Eötvös Loránd University, the Candidate Degree in 1976 under the direction of Paul Erdős and Andrey Kolmogorov, and the Doctor of Science degree from the Hungarian Academy of Sciences in 1986.
Between 1985 and 1995 Székely was the first program manager of the Budapest Semesters in Mathematics. Between 1990 and 1997 he was the founding chair of the Department of Stochastics of the Budapest Institute of Technology (Technical University of Budapest) and editor-in-chief of ''Matematikai Lapok'', the official journal of the János Bolyai Mathematical Society. In 1989 Székely was visiting professor at Yale University, and in 1990-91 he was the first Lukacs Distinguished Professor in Ohio. Székely was academic advisor of Morgan Stanley, NY, and Bunge, Chicago, helped to establish the Morgan Stanley Mathematical Modeling Centre in Budapest (2005) and the Bunge Mathematical Institute (BMI) in Warsaw (2006) to provide quantitative analysis to support the firms' global business. Since 2006 he is a Program Director of Statistics of the National Science Foundation. Székely is also Research Fellow〔(Research Fellows of the Rényi Institute of Mathematics. )〕 of the Rényi Institute of Mathematics of the Hungarian Academy of Sciences and the author of two monographs, ''Paradoxes of Probability Theory and Mathematical Statistics'', and ''Algebraic Probability Theory'' (with Imre Z. Ruzsa).

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