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Compound Wishart Matrices and Noisy Covariance Matrices: Risk
  Underestimation

Compound Wishart Matrices and Noisy Covariance Matrices: Risk Underestimation

24 June 2013
B. Collins
D. McDonald
Nadia Saad
ArXiv (abs)PDFHTML

Papers citing "Compound Wishart Matrices and Noisy Covariance Matrices: Risk Underestimation"

5 / 5 papers shown
Exact first moments of the RV coefficient by invariant orthogonal
  integration
Exact first moments of the RV coefficient by invariant orthogonal integrationJournal of Multivariate Analysis (J. Multivar. Anal.), 2022
F. Bavaud
163
4
0
02 Oct 2022
Covariance Matrix Estimation from Correlated Sub-Gaussian Samples
Covariance Matrix Estimation from Correlated Sub-Gaussian Samples
Xu Zhang
Wei Cui
Yulong Liu
89
2
0
16 Oct 2019
Cauchy noise loss for stochastic optimization of random matrix models
  via free deterministic equivalents
Cauchy noise loss for stochastic optimization of random matrix models via free deterministic equivalents
Tomohiro Hayase
181
1
0
09 Apr 2018
Free deterministic equivalent Z-scores of compound Wishart models: A
  goodness of fit test of 2DARMA models
Free deterministic equivalent Z-scores of compound Wishart models: A goodness of fit test of 2DARMA modelsRandom Matrices. Theory and Applications (RMTA), 2017
Tomohiro Hayase
84
1
0
25 Oct 2017
Cleaning large correlation matrices: tools from random matrix theory
Cleaning large correlation matrices: tools from random matrix theory
J. Bun
J. Bouchaud
M. Potters
309
293
0
25 Oct 2016
1
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