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Asymptotically Efficient Estimation of Smooth Functionals of Covariance
  Operators

Asymptotically Efficient Estimation of Smooth Functionals of Covariance Operators

25 October 2017
V. Koltchinskii
ArXivPDFHTML

Papers citing "Asymptotically Efficient Estimation of Smooth Functionals of Covariance Operators"

6 / 6 papers shown
Title
Consistent inference for diffusions from low frequency measurements
Consistent inference for diffusions from low frequency measurements
Richard Nickl
33
5
0
24 Oct 2022
Covariance Estimation: Optimal Dimension-free Guarantees for Adversarial
  Corruption and Heavy Tails
Covariance Estimation: Optimal Dimension-free Guarantees for Adversarial Corruption and Heavy Tails
Pedro Abdalla
Nikita Zhivotovskiy
38
25
0
17 May 2022
Dimension-free Bounds for Sums of Independent Matrices and Simple
  Tensors via the Variational Principle
Dimension-free Bounds for Sums of Independent Matrices and Simple Tensors via the Variational Principle
Nikita Zhivotovskiy
24
35
0
18 Aug 2021
Efficient Estimation of Smooth Functionals in Gaussian Shift Models
Efficient Estimation of Smooth Functionals in Gaussian Shift Models
V. Koltchinskii
M. Zhilova
20
14
0
05 Oct 2018
Non-asymptotic upper bounds for the reconstruction error of PCA
Non-asymptotic upper bounds for the reconstruction error of PCA
M. Reiß
Martin Wahl
22
55
0
13 Sep 2016
Hypothesis Testing in High-Dimensional Regression under the Gaussian
  Random Design Model: Asymptotic Theory
Hypothesis Testing in High-Dimensional Regression under the Gaussian Random Design Model: Asymptotic Theory
Adel Javanmard
Andrea Montanari
112
160
0
17 Jan 2013
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