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Numerical Implementation of the QuEST Function

Numerical Implementation of the QuEST Function

22 January 2016
Olivier Ledoit
Michael Wolf
ArXiv (abs)PDFHTML

Papers citing "Numerical Implementation of the QuEST Function"

18 / 18 papers shown
Title
Spectral Analysis of Representational Similarity with Limited Neurons
Spectral Analysis of Representational Similarity with Limited Neurons
Hyunmo Kang
Abdulkadir Canatar
SueYeon Chung
161
1
0
27 Feb 2025
WeSpeR: Population spectrum retrieval and spectral density estimation of
  weighted sample covariance
WeSpeR: Population spectrum retrieval and spectral density estimation of weighted sample covariance
Benoit Oriol
29
0
0
18 Oct 2024
Many-sample tests for the equality and the proportionality hypotheses
  between large covariance matrices
Many-sample tests for the equality and the proportionality hypotheses between large covariance matrices
Tianxing Mei
Chen Wang
Jianfeng Yao
19
0
0
10 Sep 2024
The decomposite $T^{2}$-test when the dimension is large
The decomposite T2T^{2}T2-test when the dimension is large
Chia-Hsuan Tsai
Ming-Tien Tsai
CoGe
23
0
0
03 Mar 2024
Quantifying the information lost in optimal covariance matrix cleaning
Quantifying the information lost in optimal covariance matrix cleaning
Christian Bongiorno
Lamia Lamrani
101
2
0
03 Oct 2023
A Bootstrap Method for Spectral Statistics in High-Dimensional
  Elliptical Models
A Bootstrap Method for Spectral Statistics in High-Dimensional Elliptical Models
Si-Ying Wang
Miles E. Lopes
13
3
0
08 Sep 2022
Recover the spectrum of covariance matrix: a non-asymptotic iterative
  method
Recover the spectrum of covariance matrix: a non-asymptotic iterative method
Juntao Duan
Ionel Popescu
H. Matzinger
52
0
0
01 Jan 2022
Cleaning large-dimensional covariance matrices for correlated samples
Cleaning large-dimensional covariance matrices for correlated samples
Z. Burda
A. Jarosz
97
8
0
03 Jul 2021
Rejoinder: On nearly assumption-free tests of nominal confidence
  interval coverage for causal parameters estimated by machine learning
Rejoinder: On nearly assumption-free tests of nominal confidence interval coverage for causal parameters estimated by machine learning
Lin Liu
Rajarshi Mukherjee
J. M. Robins
CML
71
16
0
07 Aug 2020
On the estimation of high-dimensional integrated covariance matrix based
  on high-frequency data with multiple transactions
On the estimation of high-dimensional integrated covariance matrix based on high-frequency data with multiple transactions
Moming Wang
Ningning Xia
You Zhou
13
3
0
23 Aug 2019
Rapid evaluation of the spectral signal detection threshold and
  Stieltjes transform
Rapid evaluation of the spectral signal detection threshold and Stieltjes transform
W. Leeb
93
7
0
26 Apr 2019
On nearly assumption-free tests of nominal confidence interval coverage
  for causal parameters estimated by machine learning
On nearly assumption-free tests of nominal confidence interval coverage for causal parameters estimated by machine learning
Lin Liu
Rajarshi Mukherjee
J. M. Robins
18
2
0
08 Apr 2019
Random Matrix-Improved Estimation of the Wasserstein Distance between
  two Centered Gaussian Distributions
Random Matrix-Improved Estimation of the Wasserstein Distance between two Centered Gaussian Distributions
Malik Tiomoko
Romain Couillet
48
4
0
08 Mar 2019
Random Matrix Improved Covariance Estimation for a Large Class of
  Metrics
Random Matrix Improved Covariance Estimation for a Large Class of Metrics
Malik Tiomoko
Florent Bouchard
G. Ginolhac
Romain Couillet
33
13
0
07 Feb 2019
MIXANDMIX: numerical techniques for the computation of empirical
  spectral distributions of population mixtures
MIXANDMIX: numerical techniques for the computation of empirical spectral distributions of population mixtures
Lucilio Cordero-Grande
99
3
0
13 Dec 2018
An Orthogonally Equivariant Estimator of the Covariance Matrix in High
  Dimensions and for Small Sample Sizes
An Orthogonally Equivariant Estimator of the Covariance Matrix in High Dimensions and for Small Sample Sizes
Samprit Banerjee
Stefano Monni
16
0
0
22 Nov 2017
Optimal shrinkage-based portfolio selection in high dimensions
Optimal shrinkage-based portfolio selection in high dimensions
Taras Bodnar
Yarema Okhrin
Nestor Parolya
83
46
0
07 Nov 2016
Cleaning large correlation matrices: tools from random matrix theory
Cleaning large correlation matrices: tools from random matrix theory
J. Bun
J. Bouchaud
M. Potters
85
268
0
25 Oct 2016
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