Fetching the paper…
Reading the bibliography…
Barber and Candes recently introduced a feature selection method called knockoff+ that controls the false discovery rate (FDR) among the selected features in the classical linear regression problem.
Multiple competition-based FDR control for peptide detection
K. Emery, S. Hasam, W. S. Noble, and U. Keich · 1907
Earlier work this paper cites.
Selection of subsets of regression variables
A. J. Miller · 1984
Earlier work this paper cites.
Controlling the false discovery rate: a practical and powerful approach to multiple testing
Y. Benjamini and Y. Hochberg · 1995
Earlier work this paper cites.
Matrix Computations
G. H. Golub and C. F. Van Loan · 1996
Earlier work this paper cites.
Regression shrinkage and selection via the lasso
R. J. Tibshirani · 1996
Earlier work this paper cites.
Subset Selection in Regression
A. Miller · 2002
Earlier work this paper cites.
Target-decoy search strategy for increased confidence in large-scale protein identifications by mass spectrometry
J. E. Elias and S. P. Gygi · 2007
Earlier work this paper cites.
Mude: A new approach for optimizing sensitivity in the target-decoy search strategy for large-scale peptide/protein identification
Fabio R. Cerqueira, Armin Graber, Benno Schwikowski, and Christian Baumgartner · 2010
Earlier work this paper cites.
Target-decoy search strategy for mass spectrometry-based proteomics
J. E. Elias and S. P. Gygi · 2010
Cited alongside, same era.
Stability approach to regularization selection (stars) for high dimensional graphical models
H. Liu, K. Roeder, and L. Wasserman · 2010
Cited alongside, same era.
Stability selection
N. Meinshausen and P. Bühlmann · 2010
Cited alongside, same era.
False discovery rates in spectral identification
K. Jeong, S. Kim, and N. Bandeira · 2012
Cited alongside, same era.
An introduction to statistical learning
Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani · 2013
Cited alongside, same era.
Glmnet for matlab, 2013
J. Qian, T. Hastie, J. Friedman, R. Tibshirani, and N. Simon · 2013
Cited alongside, same era.
Controlling the false discovery rate via knockoffs
Rina Foygel Barber and Emmanuel J. Candes · 2015
Later among the works it cites.
A knockoff filter in high-dimensional selective inference
R. F. Barber and Emmanuel J. Candés · 2016
Later among the works it cites.
Sequential selection procedures and false discovery rate control
M. G’Sell, S. Wager, A. Chouldechova, and R. Tibshirani · 2016
Later among the works it cites.
A study of error variance estimation in lasso regression
Stephen Reid, Robert Tibshirani, and Jerome Friedman · 2016
Later among the works it cites.
Progressive calibration and averaging for tandem mass spectrometry statistical confidence estimation: Why settle for a single decoy
U. Keich and W. S. Noble · 2017
Later among the works it cites.
Panning for gold: Model-X knockoffs for high-dimensional controlled variable selection
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Controlling the false discovery rate via knockoffs
R. F. Barber and Emmanuel J. Candés · 2015
Cited alongside, same era.
Emmanuel J Candès, Yingying Fan, Lucas Janson, and Jinchi Lv · 2018
Later among the works it cites.
Averaging strategy to reduce variability in target-decoy estimates of false discovery rate
U. Keich, K. Tamura, and W. S. Noble · 2018
Later among the works it cites.