Fetching the paper…
Reading the bibliography…
Confidence sets play a fundamental role in statistical inference.
Regression shrinkage and selection via the lasso
Robert Tibshirani · 1996
Earlier work this paper cites.
Minimax estimation of linear functionals over nonconvex parameter spaces
T Tony Cai and Mark G Low · 2004
Earlier work this paper cites.
An adaptation theory for nonparametric confidence intervals
T Tony Cai and Mark G Low · 2005
Earlier work this paper cites.
On adaptive estimation of linear functionals
T Tony Cai and Mark G Low · 2005
Earlier work this paper cites.
Adaptive confidence balls
T Tony Cai and Mark G Low · 2006
Earlier work this paper cites.
Adaptive nonparametric confidence sets
James Robins and Aad Van Der Vaart · 2006
Earlier work this paper cites.
The dantzig selector: statistical estimation when p is much larger than n
Emmanuel Candès and Terence Tao · 2007
Earlier work this paper cites.
Simultaneous analysis of lasso and dantzig selector
Peter J Bickel, Ya’acov Ritov, and Alexandre B Tsybakov · 2009
Earlier work this paper cites.
Restricted eigenvalue properties for correlated gaussian designs
Garvesh Raskutti, Martin J Wainwright, and Bin Yu · 2010
Earlier work this paper cites.
Square-root lasso: pivotal recovery of sparse signals via conic programming
Alexandre Belloni, Victor Chernozhukov, and Lie Wang · 2011
Cited alongside, same era.
A constrained ℓ 1 \ell_{1} minimization approach to sparse precision matrix estimation
T Tony Cai, Weidong Liu, and Xi Luo · 2011
Cited alongside, same era.
On adaptive inference and confidence bands
Marc Hoffmann and Richard Nickl · 2011
Cited alongside, same era.
Optimal rates of convergence for sparse covariance matrix estimation
T Tony Cai and Harrison H Zhou · 2012
Cited alongside, same era.
Scaled sparse linear regression
Tingni Sun and Cun-Hui Zhang · 2012
Cited alongside, same era.
Minimax risks for sparse regressions: Ultra-high dimensional phenomenons
Nicolas Verzelen · 2012
Cited alongside, same era.
Adaptive confidence bands for nonparametric regression functions
T Tony Cai, Mark G Low, and Zongming Ma · 2014
Later among the works it cites.
Hypothesis testing in high-dimensional regression under the gaussian random design model: Asymptotic theory
Adel Javanmard and Alessandro Montanari · 2014
Later among the works it cites.
Confidence intervals and hypothesis testing for high-dimensional regression
Adel Javanmard and Andrea Montanari · 2014
Later among the works it cites.
On asymptotically optimal confidence regions and tests for high-dimensional models
Sara van de Geer, Peter Bühlmann, YaÕacov Ritov, and Ruben Dezeure · 2014
Later among the works it cites.
Confidence intervals for low dimensional parameters in high dimensional linear models
Cun-Hui Zhang and Stephanie S Zhang · 2014
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Confidence sets in sparse regression
Richard Nickl and Sara van de Geer · 2013
Cited alongside, same era.
Asymptotic normality and optimalities in estimation of large gaussian graphical model
Zhao Ren, Tingni Sun, Cun-Hui Zhang, and Harrison H Zhou · 2013
Cited alongside, same era.
T Tony Cai and Zijian Guo · 2015
Closest in time.
Minimax estimation of linear and quadratic functionals on sparsity classes
Olivier Collier, Latitia Comminges, and Alexandre B. Tsybakov · 2015
Closest in time.
De-biasing the lasso: Optimal sample size for gaussian designs
Adel Javanmard and Andrea Montanari · 2015
Closest in time.