Non-convex Global Minimization and False Discovery Rate Control for the TREX

Benjamini, Y. & Hochberg, Y. (1995), ‘Controlling the false discovery rate: a practical and powerful approach to multiple testing’, Journal of the Royal Statistical Society B

1995

Earlier work this paper cites.

Tibshirani, R. (1996), ‘Regression shrinkage and selection via the lasso’, Journal of the Royal Statistical Society B

1996

Earlier work this paper cites.

Lobo, M. S., Vandenberghe, L., Boyd, S. & Lebret, H. (1998), ‘Applications of second-order cone programming’, Linear algebra and its applications

1998

Earlier work this paper cites.

Boyd, S. & Vandenberghe, L. (2004), Convex Optimization

2004

Earlier work this paper cites.

Rhee, S.-Y., Taylor, J., Wadhera, G., Ben-Hur, A., Brutlag, D. L. & Shafer, R. W. (2006), ‘Genotypic predictors of human immunodeficiency virus type 1 drug resistance’, Proceedings of the National Academy of Sciences

2006

Earlier work this paper cites.

Belloni, A., Chernozhukov, V. & Wang, L. (2011), ‘Square-root lasso: pivotal recovery of sparse signals via conic programming’, Biometrika

2011

Earlier work this paper cites.

Sun, T. & Zhang, C.-H. (2012), ‘Scaled sparse linear regression’, Biometrika

2012

Cited alongside, same era.

Domahidi, A., Chu, E. & Boyd, S. (2013), ECOS: An SOCP solver for embedded systems, in

2013

Cited alongside, same era.

Qian, J., Hastie, T., Friedman, J., Tibshirani, R. & Simon, N. (2013), ‘Glmnet for matlab’, http://www.stanford.edu/~hastie/glmnet_matlab/

2013

Cited alongside, same era.

Bühlmann, P., Kalisch, M. & Meier, L. (2014), ‘High-Dimensional Statistics with a View Toward Applications in Biology’, Annual Review of Statistics and Its Application

2014

Cited alongside, same era.

Bar, H. Y., Booth, J. G. & Wells, M. T. (2015), ‘A Scalable Empirical Bayes Approach to Variable Selection’, 14853

2015

Cited alongside, same era.

Barber, R. F., Candes, E. & Patterson, E. (2015), ‘Knockoff filter for matlab’, http://web.stanford.edu/~candes/Knockoffs/package_matlab.html

2015

Later among the works it cites.

Lederer, J. & Müller, C. (2015), Don’t fall for tuning parameters: Tuning-free variable selection in high dimensions with the trex, in

2015

Later among the works it cites.

Combettes, P. L. & Müller, C. L. (2016), ‘Perspective Functions: Properties, Proximal Calculus, and Applications in High-Dimensional Statistics’, arXiv preprint

2016

Closest in time.

O’Donoghue, B., Chu, E., Parikh, N. & Boyd, S. (2016), ‘Conic optimization via operator splitting and homogeneous self-dual embedding’, Journal of Optimization Theory and Applications, to appear

2016

Closest in time.

Barber, R. F. & Candes, E. (2015), ‘Controlling the false discovery rate via knockoffs’, The Annals of Statistics