Rejoinder: "A significance test for the lasso"

Rejoinder of "A significance test for the lasso" by Richard Lockhart, Jonathan Taylor, Ryan J. Tibshirani, Robert Tibshirani [arXiv:1301.7161].

[1]  R. Tibshirani,et al.  Exact Post-Selection Inference for Sequential Regression Procedures , 2014, 1401.3889.

[2]  Dennis L. Sun,et al.  Exact post-selection inference, with application to the lasso , 2013, 1311.6238.

[3]  Joshua R. Loftus,et al.  Inference in adaptive regression via the Kac–Rice formula , 2013, 1308.3020.

[4]  Bradley Efron,et al.  False Discovery Rate Control , 2010 .

[5]  Cun-Hui Zhang,et al.  Confidence intervals for low dimensional parameters in high dimensional linear models , 2011, 1110.2563.

[6]  Matthew Spencer,et al.  CONFIDENCE INTERVALS AND HYPOTHESIS TESTING FOR BETA DIVERSITY , 2004 .

[7]  A. Buja,et al.  Valid post-selection inference , 2013, 1306.1059.

[8]  S. Geer,et al.  On asymptotically optimal confidence regions and tests for high-dimensional models , 2013, 1303.0518.

[9]  Peter Bühlmann,et al.  High-dimensional variable screening and bias in subsequent inference, with an empirical comparison , 2014, Comput. Stat..

[10]  Adel Javanmard,et al.  Confidence intervals and hypothesis testing for high-dimensional regression , 2013, J. Mach. Learn. Res..

[11]  Alexandra Chouldechova,et al.  False Discovery Rate Control for Sequential Selection Procedures, with Application to the Lasso , 2013 .

[12]  Dennis L. Sun,et al.  Exact inference after model selection via the Lasso , 2013 .

[13]  R. Tibshirani,et al.  Sequential selection procedures and false discovery rate control , 2013, 1309.5352.

[14]  Robert Tibshirani,et al.  Post-selection adaptive inference for Least Angle Regression and the Lasso , 2014 .

[15]  Cun-Hui Zhang,et al.  Confidence Intervals for Low-Dimensional Parameters With High-Dimensional Data , 2011 .

[16]  R. Tibshirani,et al.  False Variable Selection Rates in Regression , 2013 .