Skip to main navigation
Skip to search
Skip to main content
Experts@Minnesota Home
Home
Profiles
Research units
University Assets
Projects and Grants
Research output
Press/Media
Datasets
Activities
Fellowships, Honors, and Prizes
Search by expertise, name or affiliation
Limiting laws of coherence of random matrices with applications to testing covariance structure and construction of compressed sensing matrices
T. Tony Cai, Jiang Tiefeng
Statistics (Twin Cities)
Research output
:
Contribution to journal
›
Article
›
peer-review
137
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Limiting laws of coherence of random matrices with applications to testing covariance structure and construction of compressed sensing matrices'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Asymptotic Results
33%
Compressed Sensing Matrices
100%
Covariance Matrix
33%
Covariance Structure
100%
Data Matrix
33%
Gaussian Distribution
33%
High-dimensional Setting
33%
Independence Test
33%
Law of Large numbers
33%
Limit Laws
100%
Limiting Distribution
33%
Random Matrices
100%
Signal Processing
33%
Statistical Analysis
33%
Mathematics
Asymptotics
25%
Covariance Matrix
25%
Covariance Structure
100%
Gaussian Distribution
25%
Laws of Large Number
25%
Limiting Distribution
25%
Limiting Law
100%
Matrix
100%
Random Matrix
100%
Signal Processing
25%
Statistical Analysis
25%