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Honest confidence regions and optimality in high-dimensional precision
  matrix estimation

Honest confidence regions and optimality in high-dimensional precision matrix estimation

8 July 2015
Jana Janková
Sara van de Geer
ArXivPDFHTML

Papers citing "Honest confidence regions and optimality in high-dimensional precision matrix estimation"

5 / 5 papers shown
Title
Joint Gaussian Graphical Model Estimation: A Survey
Joint Gaussian Graphical Model Estimation: A Survey
Katherine Tsai
Oluwasanmi Koyejo
Mladen Kolar
CML
31
20
0
19 Oct 2021
Differential Network Analysis: A Statistical Perspective
Differential Network Analysis: A Statistical Perspective
Ali Shojaie
38
48
0
09 Mar 2020
Online Debiasing for Adaptively Collected High-dimensional Data with
  Applications to Time Series Analysis
Online Debiasing for Adaptively Collected High-dimensional Data with Applications to Time Series Analysis
Y. Deshpande
Adel Javanmard
M. Mehrabi
AI4TS
28
31
0
04 Nov 2019
A modern maximum-likelihood theory for high-dimensional logistic
  regression
A modern maximum-likelihood theory for high-dimensional logistic regression
Pragya Sur
Emmanuel J. Candes
23
285
0
19 Mar 2018
Model Selection for High-Dimensional Regression under the Generalized
  Irrepresentability Condition
Model Selection for High-Dimensional Regression under the Generalized Irrepresentability Condition
Adel Javanmard
Andrea Montanari
69
21
0
02 May 2013
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