ID: math/0410098

Hoeffding-ANOVA decompositions for symmetric statistics of exchangeable observations

October 5, 2004

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Exchangeable random measures

February 8, 2013

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Tim Austin
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Let A be a standard Borel space, and consider the space A^{\bbN^{(k)}} of A-valued arrays indexed by all size-k subsets of \bbN. This paper concerns random measures on such a space whose laws are invariant under the natural action of permutations of \bbN. The main result is a representation theorem for such `exchangeable' random measures, obtained using the classical representation theorems for exchangeable arrays due to de Finetti, Hoover, Aldous and Kallenberg. After prov...

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A martingale approach for P\'olya urn processes

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Lucile IMB Laulin
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This paper is devoted to a direct martingale approach for P{\'o}lya urn models asymptotic behaviour. A P{\'o}lya process is said to be small when the ratio of its remplacement matrix eigenvalues is less than or equal to 1/2, otherwise it is called large. We find again some well-known results on the asymptotic behaviour for small and large urns processes. We also provide new almost sure properties for small urns processes.

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A Note on Concentration Inequalities for U-Statistics

December 17, 2017

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Yannik Pitcan
Statistics Theory
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The aim of this paper is to discuss various concentration inequalities for U-statistics and most recent results. A special focus will be on providing proofs for bounds on the U-statistics using classical concentration inequalities, which, although the results well known, the proofs are not found in the literature.

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Properties and Deviations of Random Sums of Densely Dependent Random Variables

October 17, 2023

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Shane Sparkes, Lu Zhang
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A classical problem of statistical inference is the valid specification of a model that can account for the statistical dependencies between observations when the true structure is dense, intractable, or unknown. To address this problem, a new variance identity is presented, which is closely related to the Moulton factor. This identity does not require the specification of an entire covariance structure and instead relies on the choice of two summary constants. Using this res...

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Universality of free homogeneous sums in every dimension

January 7, 2014

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R. Simone
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We prove a general multidimensional invariance principle for a family of U-statistics based on freely independent non-commutative random variables of the type $U_n(S)$, where $U_n(x)$ is the $n$-th Chebyshev polynomial and $S$ is a standard semicircular element on a fixed $W^{\ast}$-probability space. As a consequence, we deduce that homogeneous sums based on random variables of this type are universal with respect to both semicircular and free Poisson approximations. Our r...

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An analogue of Szego's limit theorem in free probability theory

June 6, 2007

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Junhao Shen
Operator Algebras

In the paper, we discuss orthogonal polynomials in free probability theory. Especially, we prove an analogue of of Szego's limit theorem in free probability theory.

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Connecting classical finite exchangeability to quantum theory

June 6, 2023

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Alessio Benavoli, Alessandro Facchini, Marco Zaffalon
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Exchangeability is a fundamental concept in probability theory and statistics. It allows to model situations where the order of observations does not matter. The classical de Finetti's theorem provides a representation of infinitely exchangeable sequences of random variables as mixtures of independent and identically distributed variables. The quantum de Finetti theorem extends this result to symmetric quantum states on tensor product Hilbert spaces. However, both theorems do...

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Symmetric $(q,\alpha)$-Stable Distributions. Part I: First Representation

June 1, 2006

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Sabir Umarov, Constantino Tsallis, ... , Steinberg Stanly
Statistical Mechanics
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The classic central limit theorem and $\alpha$-stable distributions play a key role in probability theory, and also in Boltzmann-Gibbs (BG) statistical mechanics. They both concern the paradigmatic case of probabilistic independence of the random variables that are being summed. A generalization of the BG theory, usually referred to as nonextensive statistical mechanics and characterized by the index $q$ ($q=1$ recovers the BG theory), introduces special (long range) correlat...

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Functional Convergence of Sequential U-processes with Size-Dependent Kernels

December 5, 2019

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Christian Döbler, Mikołaj Kasprzak, Giovanni Peccati
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We consider sequences of $U$-processes based on symmetric kernels of a fixed order, that possibly depend on the sample size. Our main contribution is the derivation of a set of analytic sufficient conditions, under which the aforementioned $U$-processes weakly converge to a linear combination of time-changed independent Brownian motions. In view of the underlying symmetric structure, the involved time-changes and weights remarkably depend only on the order of the U-statistic,...

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Note on sampling without replacing from a finite collection of matrices

January 15, 2010

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David Gross, Vincent Nesme
Information Theory
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This technical note supplies an affirmative answer to a question raised in a recent pre-print [arXiv:0910.1879] in the context of a "matrix recovery" problem. Assume one samples m Hermitian matrices X_1, ..., X_m with replacement from a finite collection. The deviation of the sum X_1+...+X_m from its expected value in terms of the operator norm can be estimated by an "operator Chernoff-bound" due to Ahlswede and Winter. The question arose whether the bounds obtained this way ...

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