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Relaxing the Gaussian assumption in Shrinkage and SURE in high dimension
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Relaxing the Gaussian assumption in Shrinkage and SURE in high dimension

Annals of Statistics (Ann. Stat.), 2020
3 April 2020
M. Fathi
L. Goldstein
Gesine Reinert
Adrien Saumard
ArXiv (abs)PDFHTML

Papers citing "Relaxing the Gaussian assumption in Shrinkage and SURE in high dimension"

2 / 2 papers shown
Stein's Method Meets Computational Statistics: A Review of Some Recent
  Developments
Stein's Method Meets Computational Statistics: A Review of Some Recent DevelopmentsStatistical Science (Statist. Sci.), 2021
Andreas Anastasiou
Alessandro Barp
F. Briol
B. Ebner
Robert E. Gaunt
...
Qiang Liu
Lester W. Mackey
Chris J. Oates
Gesine Reinert
Yvik Swan
410
57
0
07 May 2021
High-Dimensional Multi-Task Averaging and Application to Kernel Mean
  Embedding
High-Dimensional Multi-Task Averaging and Application to Kernel Mean EmbeddingInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Hannah Marienwald
Jean-Baptiste Fermanian
Gilles Blanchard
179
3
0
13 Nov 2020
1
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