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A massless up quark has long been proposed as a solution to the strong CP problem. While this solution is sometimes thought to have been excluded, it is actually still ill-defined. In this work, we study the mass dependence of the physical…

High Energy Physics - Lattice · Physics 2016-11-23 Julien Frison , Ryuichiro Kitano , Norikazu Yamada

Semisupervised methods inevitably invoke some assumption that links the marginal distribution of the features to the regression function of the label. Most commonly, the cluster or manifold assumptions are used which imply that the…

Statistics Theory · Mathematics 2011-12-02 Martin Azizyan , Aarti Singh , Larry Wasserman

This paper is based on the observation that dimension of weight spaces of multi-variable Weyl modules depends polynomially on the highest weight (Conjecture 1). We support this conjecture by various explicit answers for up to three variable…

Quantum Algebra · Mathematics 2010-12-15 S. Loktev

Starting from the light-cone plasma (LCP) distribution of gluons produced in proton-proton collisions, we derive the invariant charged-particle yield dN/dyd^2pT in heavy-ion collisions. Multiple scattering of partons in the other nucleus…

Nuclear Theory · Physics 2013-05-16 H. J. Pirner , K. Reygers , B. Z. Kopeliovich

Competitive methods for multi-label classification typically invest in learning labels together. To do so in a beneficial way, analysis of label dependence is often seen as a fundamental step, separate and prior to constructing a…

Machine Learning · Statistics 2017-07-19 Jesse Read , Jaakko Hollmén

Measuring a strength of dependence of random variables is an important problem in statistical practice. In this paper, we propose a new function valued measure of dependence of two random variables. It allows one to study and visualize…

Methodology · Statistics 2014-05-12 Teresa Ledwina

Real-world multi-layer networks feature nontrivial dependencies among links of different layers. Here we argue that, if links are directed, dependencies are twofold. Besides the ordinary tendency of links of different layers to align as the…

Models based on assumptions of multivariate regular variation and hidden regular variation provide ways to describe a broad range of extremal dependence structures when marginal distributions are heavy tailed. Multivariate regular variation…

Probability · Mathematics 2007-05-23 Janet E. Heffernan , Sidney I. Resnick

It has recently been shown that the tensor rank can be strictly submultiplicative under the tensor product, where the tensor product of two tensors is a tensor whose order is the sum of the orders of the two factors. The necessary upper…

Algebraic Geometry · Mathematics 2019-05-02 Matthias Christandl , Fulvio Gesmundo , Asger Kjærulff Jensen

We obtain some new results on the topology of unary definable sets in densely ordered Abelian groups of burden groups of burden 2. In the special case in which the structure has dp-rank 2, we show that the existence of an infinite definable…

Logic · Mathematics 2022-11-21 Alfred Dolich , John Goodrick

We study the relativistic 2D charge distributions in the case of a spin-$1$ target. These charge distributions are based on a phase-space approach allowing one to study their frame dependence, and hence to relate the familiar rest-frame…

High Energy Physics - Phenomenology · Physics 2022-06-08 Cédric Lorcé , Pierre Wang

We show that centrality dependence of charged particle pseudorapidity density at midrapidity in Au+Au collisions at RHIC is well described as proportional to We show that centrality dependence of charged particle pseudorapidity density at…

Nuclear Theory · Physics 2009-11-10 S. Eremin , S. Voloshin

The mass dependence plays a significant role in the yield enhancement or suppression of hadrons in pp and p-Pb collisions at the LHC energies. This has been observed by parameterizing the variation of yield ratios between any two hadrons…

Nuclear Experiment · Physics 2019-11-26 S. Sahoo , R. C. Baral , P. K. Sahu , M. K. Parida

Measuring the dependence of data plays a central role in statistics and machine learning. In this work, we summarize and generalize the main idea of existing information-theoretic dependence measures into a higher-level perspective by the…

Machine Learning · Computer Science 2021-01-26 Shujian Yu , Francesco Alesiani , Xi Yu , Robert Jenssen , Jose C. Principe

The aim of this article is to analyze data from multiple repairable systems under the presence of dependent competing risks. In order to model this dependence structure, we adopted the well-known shared frailty model. This model provides a…

In this paper we generalize the DP framework to a relative DP framework, where a so called split is possible.

Logic in Computer Science · Computer Science 2012-08-09 Christian Sternagel , René Thiemann

In this article, we propose a new method for the fundamental task of testing for dependence between two groups of variables. The response densities under the null hypothesis of independence and the alternative hypothesis of dependence are…

Methodology · Statistics 2015-01-29 Yimin Kao , Brian J Reich , Howard D Bondell

We propose a simple picture for the occurrence of superconductivity and the pressure dependence of the superconducting critical temperature, T_{SC}, in ZrZn_2. According to our hypothesis the pairing potential is independent of pressure,…

Superconductivity · Physics 2009-11-10 B. J. Powell , James F. Annett , B. L. Gyorffy

In this paper, we study VC-density over indiscernible sequences (denoted VC_ind-density). We answer an open question in [1], showing that VC_ind-density is always integer valued. We also show that VC_ind-density and dp-rank coincide in the…

Logic · Mathematics 2013-07-26 Vincent Guingona , Cameron Donnay Hill

This article proposes a new index for quantifying the degree of dependence between random vectors. The index takes values in [0,1] and equals zero if and only if the random vectors are sub-independent. Unlike mere uncorrelatedness,…

Statistics Theory · Mathematics 2026-05-19 Chuancun yin