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We propose a new bivariate symmetric copula with positive and negative dependence properties. The main features of the proposed copula are its simple mathematical structure, wider dependence range compared to FGM copula and its…

Statistics Theory · Mathematics 2024-08-29 Swaroop Georgy Zachariah , Mohd. Arshad , Ashok Kumar Pathak

We propose a new test for the hypothesis that a bivariate copula is an Archimedean copula. The test statistic is based on a combination of two measures resulting from the characterization of Archimedean copulas by the property of…

Statistics Theory · Mathematics 2011-09-30 Axel Bücher , Holger Dette , Stanislav Volgushev

We study the planar Nikod\'ym maximal operator $\mathcal{N}_{\Theta;\delta}$ associated to a direction set $\Theta \subset \mathbb{S}^{1}$. We show that the quasi-Assouad dimension $s := \dim_{\mathrm{qA}} \Theta$ characterises the…

Classical Analysis and ODEs · Mathematics 2026-01-28 Tuomas Orponen , Hrit Roy

The column number question asks for the maximal number of columns of an integer matrix with the property that all its rank size minors are bounded by a fixed parameter $\Delta$ in absolute value. Polynomial upper bounds have been proved in…

Combinatorics · Mathematics 2025-03-28 Björn Kriepke , Matthias Schymura

A set $D$ of vertices in $G$ is a disjunctive dominating set in $G$ if every vertex not in $D$ is adjacent to a vertex of $D$ or has at least two vertices in $D$ at distance $2$ from it in $G$. The disjunctive domination number,…

Combinatorics · Mathematics 2021-04-16 Wei Zhuang

Copulas are mathematical objects that fully capture the dependence structure among random variables and hence, offer a great flexibility in building multivariate stochastic models. In statistics, a copula is used as a general way of…

Methodology · Statistics 2013-10-01 Abhik Ghosh , Aritra Chakravorty

We study the size of the largest component of two models of random graphs with prescribed degree sequence, the configuration model (CM) and the uniform model (UM), in the (barely) subcritical regime. For the CM, we give upper bounds that…

Probability · Mathematics 2021-11-24 Matthew Coulson , Guillem Perarnau

In this paper our aim is to characterize the set of extreme points of the set of all n-dimensional copulas (n > 1). We have shown that a copula must induce a singular measure with respect to Lebesgue measure in order to be an extreme point…

Probability · Mathematics 2017-09-11 Partha Pratim Ghosh , Subir Kumar Bhandari

Detection limits (DLs), where a variable is unable to be measured outside of a certain range, are common in research. Most approaches to handle DLs in the response variable implicitly make parametric assumptions on the distribution of data…

Methodology · Statistics 2022-07-07 Yuqi Tian , Chun Li , Shengxin Tu , Nathan T. James , Frank E. Harrell , Bryan E. Shepherd

Checking whether a system of linear equations is consistent is a basic computational problem with ubiquitous applications. When dealing with inconsistent systems, one may seek an assignment that minimizes the number of unsatisfied…

Data Structures and Algorithms · Computer Science 2022-08-05 Konrad K. Dabrowski , Peter Jonsson , Sebastian Ordyniak , George Osipov , Magnus Wahlström

We study a broad class of asymmetric copulas introduced by Liebscher (2008) as a combination of multiple - usually symmetric - copulas. The main thrust of the paper is to provide new theoretical properties including exact tail dependence…

Statistics Theory · Mathematics 2019-07-16 Julyan Arbel , Marta Crispino , Stéphane Girard

We demonstrate both analytically and numerically that the existing methods for measuring tail dependence in copulas may sometimes underestimate the extent of extreme co-movements of dependent risks and, therefore, may not always comply with…

Probability · Mathematics 2016-07-19 Edward Furman , Jianxi Su , Ričardas Zitikis

This paper proposes multivariate copula models for hierarchical data. They account for two types of correlation: one is between variables measured on the same unit and the other is a correlation between units in the same cluster. This model…

Methodology · Statistics 2023-04-24 Talagbe Gabin Akpo , Louis-Paul Rivest

It is shown that the boldface maximality principle for subcomplete forcing, together with the assumption that the universe has only set-many grounds, implies the existence of a (parameter-free) definable well-ordering of…

Logic · Mathematics 2018-02-15 Gunter Fuchs

Let $G$ denote the unramified quasi-split unitary group $\mathbb{U}(1,1)(F)$ over a $p$-adic field $F$ with residual characteristic $p \neq 2$. In this paper, we first construct a large family of irreducible representations of the maximal…

Representation Theory · Mathematics 2025-11-11 Ekta Tiwari

A set of edges $F$ in a graph $G$ is an edge dominating set if every edge in $G$ is either in $F$ or shares a vertex with an edge in $F$. $G$ is said to be well-edge-dominated if all of its minimal edge dominating sets have the same…

Combinatorics · Mathematics 2024-12-17 Jake Berg , Perryn Chang , Claire Kaneshiro , Kirsti Kuenzel , Ryan Pellico , Isabel Renteria , Sumi Vora

It is well known that every bivariate copula induces a positive measure on the Borel $\sigma$-algebra on $[0,1]^2$, but there exist bivariate quasi-copulas that do not induce a signed measure on the same $\sigma$-algebra. In this paper we…

Statistics Theory · Mathematics 2024-04-09 Nik Stopar

It is well-known that the representation theory of the finite group of unipotent upper-triangular matrices $U_n$ over a finite field is a wild problem. By instead considering approximately irreducible representations (supercharacters), one…

Representation Theory · Mathematics 2007-12-11 Nathaniel Thiem , Vidya Venkateswaran

We consider the bipartite version of the degree/diameter problem, namely, given natural numbers {\Delta} \geq 2 and D \geq 2, find the maximum number Nb({\Delta},D) of vertices in a bipartite graph of maximum degree {\Delta} and diameter D.…

Combinatorics · Mathematics 2014-05-06 Ramiro Feria-Purón , Guillermo Pineda-Villavicencio

Deep generative networks such as GANs and normalizing flows flourish in the context of high-dimensional tasks such as image generation. However, so far exact modeling or extrapolation of distributional properties such as the tail…

Machine Learning · Computer Science 2019-07-09 Magnus Wiese , Robert Knobloch , Ralf Korn
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