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  1. No Access

    Article

    Calibrating Dependence Between Random Elements

    Attempts to quantify dependence between random elements X and Y via maximal correlation go back to Gebelein (Z Angew Math Mech 21:364–379, 1941) and Rényi (Acta Math Acad Sci 10:441–451, 1959). After summarizing ...

    Abram M. Kagan, Gábor J. Székely in Journal of Theoretical Probability (2021)

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    Article

    Comments on: Tests for multivariate normality—a critical review with emphasis on weighted \(L^{2}\) -statistics

    Gábor J. Székely, Maria L. Rizzo in TEST (2020)

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    Article

    Four simple axioms of dependence measures

    Recently new methods for measuring and testing dependence have appeared in the literature. One way to evaluate and compare these measures with each other and with classical ones is to consider what are reasona...

    Tamás F. Móri, Gábor J. Székely in Metrika (2019)

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    Chapter and Conference Paper

    Partial Distance Correlation

    Partial distance correlation measures association between two random vectors with respect to a third random vector, analogous to, but more general than (linear) partial correlation. Distance correlation charac...

    Gábor J. Székely, Maria L. Rizzo in Nonparametric Statistics (2016)

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    Article

    Schur properties of convolutions of gamma random variables

    Sufficient conditions for comparing the convolutions of heterogeneous gamma random variables in terms of the usual stochastic order are established. Such comparisons are characterized by the Schur convexity pr...

    Farbod Roosta-Khorasani, Gábor J. Székely in Metrika (2015)

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    Article

    Integer valued means

    In this paper, starting with the work of Kolmogorov on continuous means, we define the four properties, Symmetry, Internality, Monotonicity, and Associativity that a discrete mean should satisfy. An extremal m...

    Curtis D. Bennett, W. Charles Holland, Gábor J. Székely in Aequationes mathematicae (2014)

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    Article

    Definetti’s Theorem for Abstract Finite Exchangeable Sequences

    We show that a finite collection of exchangeable random variables on an arbitrary measurable space is a signed mixture of i.i.d. random variables. Two applications of this idea are examined, one concerning Bay...

    G. Jay. Kerns, Gábor J. Székely in Journal of Theoretical Probability (2006)

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    Chapter

    Mathematics physics

    In science, the countries of Austria and Hungary have probably made their nnost outstanding achievements in the areas of mathematics and logic. This includes the mathematical foundation of information technolo...

    Gyula Staar, Pál Erdős, Martin Neuwirther, Wilhelm Frank in Beyond Art: A Third Culture (2005)

  9. Article

    Extremal probabilities for Gaussian quadratic forms

     Denote by Q an arbitrary positive semidefinite quadratic form in centered Gaussian random variables such that E(Q)=1. We prove that for an arbitrary x>0, inf Q P(Qx)=P2 ...

    Gábor J. Székely, Nail K. Bakirov in Probability Theory and Related Fields (2003)

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    Book

    Contests in Higher Mathematics

    Miklós Schweitzer Competitions 1962–1991

    Gábor J. Székely in Problem Books in Mathematics (1996)

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    Chapter

    Results of the Contests

    Gábor J. Székely in Contests in Higher Mathematics (1996)

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    Chapter

    Problems of the Contests

    The letter in parentheses after the text of a problem refers to the section in Chapter 3 containing its solution. The topics include these areas of mathematics:

  13. A: Algebra

    ...
  14. Gábor J. Székely in Contests in Higher Mathematics (1996)

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    Chapter

    Solutions to the Problems

    Problem A.1. Determine the roots of unity in the field of p-adic numbers.

    Gábor J. Székely in Contests in Higher Mathematics (1996)

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    Article

    Lattice-ordered groups with a prescribed minimum for given elements

    W. Charles Holland, Gábor J. Székely in algebra universalis (1992)

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    Article

    The Choquet-Deny convolution equation μ=μ*σ for probability measures on Abelian semigroups

    In this note, we characterize the regular probability measures μ satisfying the Choquet-Deny convolution equation μ=μ*σ on Abelian topological semigroups for a given probability measure σ.

    Gábor J. Székely, Wei-Bin Zeng in Journal of Theoretical Probability (1990)

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    Article

    Eugene Lukacs, 1906–1987

    Vijay K. Rohatgi, Gábor J. Székely in aequationes mathematicae (1989)

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    Article

    Convolution quotients of nonnegative functions

    LetG be a locally compact commutative Hausdorff group andf a function belonging toL 1(G). If the integral off with respect to the Haar measure is positive, then one can find a nonnegative (not identically 0) func...

    Imre Z. Ruzsa, Gábor J. Székely in Monatshefte für Mathematik (1983)

  20. Article

    A limit theorem for elementary symmetric polynomials of independent random variables

    Gábor J. Székely in Zeitschrift für Wahrscheinlichkeitstheorie und Verwandte Gebiete (1982)

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    Chapter and Conference Paper

    Extensions of Partial Homomorphisms in Probability Theory

    Two years ago in Amsterdam when trying to solve a problem about invariant measures on semigroups A.A.Balkema and myself arrived to the following very simple question: Are there continuous nontrivial homomorphi...

    Gábor J. Székely in The First Pannonian Symposium on Mathematical Statistics (1981)

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    Chapter

    The Brownian Taboo Bridge with an Application in the Theory of Nonparametric Statistics

    The notion of Markov chain with taboo states turned out to be a very interesting one [1], In this paper we discuss some properties of the most fundamental Markov processes (the Wiener process and the Brownian ...

    Gábor J. Székely in Transactions of the Seventh Prague Confere… (1977)