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Berry-Esseen Bounds for Projection Parameters and Partial Correlations
  with Increasing Dimension

Berry-Esseen Bounds for Projection Parameters and Partial Correlations with Increasing Dimension

19 July 2020
Arun K. Kuchibhotla
Alessandro Rinaldo
Larry A. Wasserman
ArXivPDFHTML

Papers citing "Berry-Esseen Bounds for Projection Parameters and Partial Correlations with Increasing Dimension"

10 / 10 papers shown
Title
Statistical Inference for Linear Functionals of Online SGD in High-dimensional Linear Regression
Statistical Inference for Linear Functionals of Online SGD in High-dimensional Linear Regression
Bhavya Agrawalla
Krishnakumar Balasubramanian
Promit Ghosal
41
2
0
20 Feb 2023
Slightly Conservative Bootstrap for Maxima of Sums
Slightly Conservative Bootstrap for Maxima of Sums
Hang Deng
28
9
0
31 Jul 2020
Moving Beyond Sub-Gaussianity in High-Dimensional Statistics:
  Applications in Covariance Estimation and Linear Regression
Moving Beyond Sub-Gaussianity in High-Dimensional Statistics: Applications in Covariance Estimation and Linear Regression
Arun K. Kuchibhotla
Abhishek Chakrabortty
38
107
0
08 Apr 2018
Uniformly valid confidence intervals post-model-selection
Uniformly valid confidence intervals post-model-selection
François Bachoc
David Preinerstorfer
Lukas Steinberger
65
48
0
03 Nov 2016
Goodness of fit tests for high-dimensional linear models
Goodness of fit tests for high-dimensional linear models
Rajen Dinesh Shah
Peter Buhlmann
50
46
0
10 Nov 2015
Gaussian Approximation for High Dimensional Time Series
Gaussian Approximation for High Dimensional Time Series
Danna Zhang
Wei Biao Wu
59
131
0
27 Aug 2015
Valid Post-Selection and Post-Regularization Inference: An Elementary,
  General Approach
Valid Post-Selection and Post-Regularization Inference: An Elementary, General Approach
Victor Chernozhukov
Christian B. Hansen
Martin Spindler
128
174
0
14 Jan 2015
Asymptotic normality and optimalities in estimation of large Gaussian
  graphical models
Asymptotic normality and optimalities in estimation of large Gaussian graphical models
Zhao Ren
Tingni Sun
Cun-Hui Zhang
Harrison H. Zhou
123
245
0
24 Sep 2013
Comparison and anti-concentration bounds for maxima of Gaussian random
  vectors
Comparison and anti-concentration bounds for maxima of Gaussian random vectors
Victor Chernozhukov
Denis Chetverikov
Kengo Kato
80
224
0
21 Jan 2013
Confidence Sets Based on Sparse Estimators Are Necessarily Large
Confidence Sets Based on Sparse Estimators Are Necessarily Large
B. M. Potscher
131
41
0
07 Nov 2007
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