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In this paper, we continue Voiculescu's recent work on the analogous extreme value theory in the context of bi-free probability theory. We derive various equivalent conditions for a bivariate distribution function to be bi-freely…

Operator Algebras · Mathematics 2018-11-27 Hao-Wei Huang , Jiun-Chau Wang

We give the distribution function of $M_n$, the maximum of a sequence of $n$ observations from an autoregressive process of order 2. Solutions are first given in terms of repeated integrals and then for the case, where the underlying random…

Statistics Theory · Mathematics 2010-02-02 C. S. Withers , S. Nadarajah

The large-q expansions of the exponential correlation length and the second moment correlation length for the q-state Potts model in two dimensions are calculated at the first order phase transition point both in the ordered and disordered…

High Energy Physics - Lattice · Physics 2015-06-25 H. Arisue

We present a simple result that allows us to evaluate the asymptotic order of the remainder of a partial asymptotic expansion of the quantile function $h(u)$ as $u\to 0^+$ or $1^-$. This is focussed on important univariate distributions…

Statistics Theory · Mathematics 2017-08-10 Thomas Fung , Eugene Seneta

Any multivariate distribution can be uniquely decomposed into marginal (1-point) distributions, and a function called the copula, which contains all of the information on correlations between the distributions. The copula provides an…

Cosmology and Nongalactic Astrophysics · Physics 2014-11-20 Robert J. Scherrer , Andreas A. Berlind , Qingqing Mao , Cameron K. McBride

A new class of bivariate distributions is introduced that extends the Generalized Marshall-Olkin distributions of Li and Pellerey (2011). Their dependence structure is studied through the analysis of the copula functions that they induce.…

Mathematical Finance · Quantitative Finance 2017-02-13 Sabrina Mulinacci

This manuscript investigates the stochastic comparisons of the second-order statistics from dependent and heterogeneous general semi-parametric family of distributions observations. Some sufficient conditions on the usual stochastic order…

Statistics Theory · Mathematics 2024-07-29 Guoqiang Lv

A characterization of the exponential distribution based on equidistribution conditions for maxima of random samples with consecutive sizes n-1 and n for an arbitrary and fixed n>2 is proved. This solves an open problem stated recently in…

Probability · Mathematics 2015-02-24 Santanu Chakraborty , George P. Yanev

We show sharpened forms of the concentration of measure phenomenon centered at first order stochastic expansions. The bound are based on second order difference operators and second order derivatives. Applications to functions on the…

Probability · Mathematics 2019-11-22 Friedrich Götze , Holger Sambale

Let $\{X_{n}, n\ge 1\}$ be a sequence of independent random variables with common general error distribution $GED(v)$ with shape parameter $v>0$, and let $M_{n,r}$ denote the $r$th largest order statistics of $X_{1}, X_{2}, \cdots, X_{n}$.…

Probability · Mathematics 2019-05-07 Yingyin Lu , Zuoxiang Peng

Under a mild condition we give closed-form expressions for copulas of systems that consist of maxima and of minima of subvectors of a given random vector $X$ with continuous marginals. Said expressions appear explicit in the copula of $X$…

Probability · Mathematics 2015-12-31 Matija Vidmar , Matjaž Omladič

The main objective of this paper consists in creating a new class of copulae from various joint distributions occurring in connection with certain Brownian motion processes. We focus our attention on the distributions of univariate Brownian…

Statistics Theory · Mathematics 2020-04-23 Michel Adès , Matthieu Dufour , Serge B. Provost , Marie-Claude Vachon

The copula representations for conditionally independent random variables and the distribution properties of order statistics of these random variables are studied.

Statistics Theory · Mathematics 2011-07-19 Ismihan Bairamov

We examine the two-point correlation functions of the fields exp(i$\alpha\Phi$) in the sine-Gordon theory at all values of the coupling constant $\hat\beta$. Using conformal perturbation theory, we write down explicit integral expressions…

High Energy Physics - Theory · Physics 2016-09-06 Robert M. Konik , Andre LeClair

We propose the extension of Fr\'{e}chet-Hoeffding copula bounds for circular data. The copula is a powerful tool for describing the dependency of random variables. In two dimensions, the Fr\'{e}chet-Hoeffding upper (lower) bound indicates…

Statistics Theory · Mathematics 2023-11-17 Hiroaki Ogata

We give the distribution of $M_n$, the maximum of a sequence of $n$ observations from a moving average of order 1. Solutions are first given in terms of repeated integrals and then for the case where the underlying independent random…

Methodology · Statistics 2009-09-07 Christopher S. Withers , Saralees Nadarajah

We derive sharp upper and lower bounds for the pointwise concentration function of the maximum statistic of $d$ identically distributed real-valued random variables. Our first main result places no restrictions either on the common marginal…

Statistics Theory · Mathematics 2025-08-04 Matias D. Cattaneo , Ricardo P. Masini , William G. Underwood

A margin-free measure of bivariate association generalizing Spearman's rho to the case of non-monotonic dependence is defined in terms of two square integrable functions on the unit interval. Properties of generalized Spearman correlation…

Methodology · Statistics 2025-12-12 Alexander J. McNeil , Johanna G. Neslehova , Andrew D. Smith

In the spirit of classic works of Wilson on the renormalization group and operator product expansion, a new framework for the study of the theory space of euclidean quantum field theories has been introduced. This formalism is particularly…

High Energy Physics - Theory · Physics 2009-10-22 B. Mikhak , A. M. Zarkesh

This paper extends Edgeworth-Cornish-Fisher expansions for the distribution and quantiles of nonparametric estimates in two ways. Firstly it allows observations to have different distributions. Secondly it allows the observations to be…

Methodology · Statistics 2010-02-24 C. S. Withers , S. Nadarajah