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On the conditional distributions of low-dimensional projections from
  high-dimensional data

On the conditional distributions of low-dimensional projections from high-dimensional data

22 April 2013
Hannes Leeb
ArXiv (abs)PDFHTML

Papers citing "On the conditional distributions of low-dimensional projections from high-dimensional data"

5 / 5 papers shown
Title
Fast Approximation of the Sliced-Wasserstein Distance Using
  Concentration of Random Projections
Fast Approximation of the Sliced-Wasserstein Distance Using Concentration of Random Projections
Kimia Nadjahi
Alain Durmus
Pierre E. Jacob
Roland Badeau
Umut Simsekli
68
38
0
29 Jun 2021
Approximating posteriors with high-dimensional nuisance parameters via
  integrated rotated Gaussian approximation
Approximating posteriors with high-dimensional nuisance parameters via integrated rotated Gaussian approximation
W. van den Boom
Galen Reeves
David B. Dunson
15
6
0
15 Sep 2019
Statistical inference with F-statistics when fitting simple models to
  high-dimensional data
Statistical inference with F-statistics when fitting simple models to high-dimensional data
Hannes Leeb
Lukas Steinberger
34
1
0
12 Feb 2019
Conditional Central Limit Theorems for Gaussian Projections
Conditional Central Limit Theorems for Gaussian Projections
Galen Reeves
89
25
0
29 Dec 2016
On conditional moments of high-dimensional random vectors given
  lower-dimensional projections
On conditional moments of high-dimensional random vectors given lower-dimensional projections
Lukas Steinberger
Hannes Leeb
54
11
0
09 May 2014
1