CVIT - Program for fast calculation of Dirac’s γ-matrices traces V. Ilyin, A. Kryukov, A. Rodionov and A. Taranov Institute for Nuclear Physics Moscow State University Moscow, USSR

Source URL: www.reduce-algebra.com

Support vector machines, data reduction, and approximate kernel matrices XuanLong Nguyen1 , Ling Huang2 , and Anthony D. Joseph3 1 SAMSI & Duke University,

Source URL: dept.stat.lsa.umich.edu

• Statistics
• Mathematical analysis
• Mathematics
• Statistical classification
• Functional analysis
• Linear algebra
• Numerical linear algebra
• Support vector machine
• Kernel method
• Kernel
• Normal distribution
• Matrix

Stokes phenomenon, dynamical r-matrices and quantum groups Xiaomeng Xu Université de Genéve Abstract

Source URL: www.uantwerpen.be

Statistica Sinica), MARGINAL LIKELIHOOD FOR DISTANCE MATRICES Peter McCullagh University of Chicago Abstract: A Wishart model is proposed for random distance matrices in which the

Source URL: www.stat.uchicago.edu

J Stat Phys:678–703 DOIs10955Gaussian Multiplicative Chaos for Symmetric Isotropic Matrices Laurent Chevillard · Rémi Rhodes · Vincent Vargas

Source URL: perso.ens-lyon.fr

Jackknife Empirical Likelihood Test for Equality of Two High Dimensional Means Ruodu Wang1 , Liang Peng1 and Yongcheng Qi2 Abstract It has been a long history to test the equality of two multivariate means. One popular t

Source URL: sas.uwaterloo.ca

• Covariance and correlation
• Probability distributions
• Stable distributions
• Algebra of random variables
• Covariance
• Multivariate normal distribution
• Estimation of covariance matrices
• Normal distribution
• Multiplier

Gaussian resolutions for equilibrium density matrices Pavel Frantsuzov1,2 , Arnold Neumaier3 and Vladimir A. Mandelshtam1 1 Chemistry Department, University of California at Irvine, Irvine, CA 92697, USA Institute of Che

Source URL: solon.cma.univie.ac.at

ON THE RANK OF HIGHER INCLUSION MATRICES ´ CODRUT ¸ GROSU, YURY PERSON, TIBOR SZABO Abstract. Let r ≥ s ≥ 0 be integers and G be an r-graph. The higher inclusion matrix Msr (G) is a {0, 1}-matrix with rows indexed

Source URL: page.mi.fu-berlin.de

On spectral density of some random hierarchical matrices

Source URL: zakharov70.itp.ac.ru

Jonathan Scarlett and Volkan Cevher Supplementary Material for “Limits on Sparse Support Recovery via Linear Sketching with Random Expander Matrices” (AISTATS 2016, Jonathan Scarlett and Volkan Cevher) Note that all

Source URL: jmlr.org