Minimax Estimation of Large Covariance Matrices under ℓ1-Norm T. Tony Cai1 and Harrison H. Zhou2 University of Pennsylvania and Yale University Abstract

Source URL: www.stat.yale.edu

Analyse fonctionnelle/Functional Analysis Smallest singular value of random matrices with independent columns Radoslaw ADAMCZAK1 Alain PAJOR

Source URL: perso-math.univ-mlv.fr

18.02SC MattuckNotes: Matrices 1. Matrix Algebra

Source URL: pcsl.mit.edu

A Remark on Hypercontractivity and Tail Inequalities for the Largest Eigenvalues of Random Matrices Michel Ledoux Institut de Math´ematiques, Universit´e Paul Sabatier, 31062 Toulouse, France E-mail: -tl

Source URL: www.math.univ-toulouse.fr

AAindex : A Database of Amino Acid Indices and Mutation Matrices K. Tomii M. Kanehisa

Source URL: www.jsbi.org

• Bioinformatics
• Biology
• Computational phylogenetics
• Genetics
• Statistics
• Sequence alignment
• Similarity measure
• Protein structure
• Amino acid
• Point accepted mutation
• BLOSUM

Automating the digestion and determination of mercury in a variety of environmental sample matrices David L. Pfeil and Art Reed n the last 40 years, mercury pollution has caused numerous deaths and

Source URL: www.teledyneleemanlabs.com

On singular values of matrices with independent rows S. Mendelson A. Pajor

Source URL: perso-math.univ-mlv.fr

4D Compression and Relighting with High-Resolution Light Transport Matrices Ewen Cheslack-Postava Stanford University Nolan Goodnight

Source URL: www.ewencp.org

1 COMMENTS on “MINIMAX ESTIMATION OF LARGE COVARIANCE MATRICES UNDER ℓ1 -NORM” Ming Yuan Georgia Institute of Technology

Source URL: pages.stat.wisc.edu

United States Bankruptcy Court Middle District of Florida ** PUBLIC NOTICE ** Instructions For Filing Master Mailing Matrices In Computer Readable Format

Source URL: www.flmb.uscourts.gov