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We develop a general approach to valid inference after model selection.
Fisher, RonaldR. (1956). On a test of significance in Pearson’s Biometrika Tables (No. 11). J. Roy. Statist. Soc. Ser. B. 18 56–60
1956
Earlier work this paper cites.
Cox, D. R.D. R. (1975). A note on data-splitting for the evaluation of significance levels. Biometrika 62 441–444
1975
Earlier work this paper cites.
Robinson, G. K.G. K. (1979). Conditional properties of statistical procedures. Ann. Statist. 7 742–755
1979
Earlier work this paper cites.
Pötscher, B. M.B. M. (1991). Effects of model selection on inference. Econometric Theory 7 163–185
1991
Earlier work this paper cites.
Tibshirani, RobertR. (1996). Regression shrinkage and selection via the lasso. J. Roy. Statist. Soc. Ser. B 58 267–288
1996
Earlier work this paper cites.
Knight, KeithK. andFu, WenjiangW. (2000). Asymptotics for lasso-type estimators. Ann. Statist. 28 1356–1378
2000
Earlier work this paper cites.
Miller, AlanA. (2002). Subset Selection in Regression, 2nd ed. Chapman & Hall/CRC, Boca Raton, FL
2002
Earlier work this paper cites.
Efron, BradleyB., Hastie, TrevorT., Johnstone, IainI. andTibshirani, RobertR. (2004). Least angle regression. Ann. Statist. 32 407–499
2004
Earlier work this paper cites.
Benjamini, YoavY. andYekutieli, DanielD. (2005). False discovery rate-adjusted multiple confidence intervals for selected parameters. J. Amer. Statist. Assoc. 100 71–93
2005
Earlier work this paper cites.
Leeb, HannesH. andPötscher, Benedikt M.B. M. (2005). Model selection and inference: Facts and fiction. Econometric Theory 21 21–59
2005
Earlier work this paper cites.
Lehmann, E. L.E. L. andRomano, Joseph P.J. P. (2005). Testing Statistical Hypotheses, 3rd ed. Springer, New York
2005
Earlier work this paper cites.
Sampson, Allan R.A. R. andSill, Michael W.M. W. (2005). Drop-the-losers design: Normal case. Biom. J. 47 257–268
2005
Cited alongside, same era.
Zou, HuiH. andHastie, TrevorT. (2005). Regularization and variable selection via the elastic net. J. R. Stat. Soc. Ser. B. Stat. Methodol. 67 301–320
2005
Cited alongside, same era.
Leeb, HannesH. andPötscher, Benedikt M.B. M. (2006). Can one estimate the conditional distribution of post-model-selection estimators? Ann. Statist. 34 2554–2591
2006
Cited alongside, same era.
Zollner, SebastianS. andPritchard, Jonathan K.J. K. (2007). Overcoming the winner’s curse: Estimating penetrance parameters from case-control data. Am. J. Hum. Genet. 80 605–615
2007
Cited alongside, same era.
Zhong, HuaH. andPrentice, R. L.R. L. (2008). Bias-reduced estimators and confidence intervals for odds ratios in genome-wide association studies. Biostatistics 9 621–634
Tibshirani, Ryan J.R. J. (2013). The lasso problem and uniqueness. Electron. J. Stat. 7 1456–1490
2013
Closest in time.
2013
Closest in time.
Weinstein, AsafA., Fithian, WilliamW. andBenjamini, YoavY. (2013). Selection adjusted confidence intervals with more power to determine the sign. J. Amer. Statist. Assoc. 108 165–176
2013
Closest in time.
2014
Closest in time.
Lockhart, R.R., Taylor, J.J., Tibshirani, R.R. andTibshirani, R.R. (2014). A significance test for the lasso (with discussion). Ann. Statist. 42 413–468
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2008
Cited alongside, same era.
Benjamini, YoavY., Heller, RuthR. andYekutieli, DanielD. (2009). Selective inference in complex research. Philos. Trans. R. Soc. Lond. Ser. A Math. Phys. Eng. Sci. 367 4255–4271
2009
Cited alongside, same era.
Sill, Michael W.M. W. andSampson, Allan R.A. R. (2009). Drop-the-losers design: Binomial case. Comput. Statist. Data Anal. 53 586–595
2009
Cited alongside, same era.
Pötscher, Benedikt M.B. M. andSchneider, UlrikeU. (2010). Confidence sets based on penalized maximum likelihood estimators in Gaussian regression. Electron. J. Stat. 4 334–360
2010
Cited alongside, same era.
Negahban, Sahand N.S. N., Ravikumar, PradeepP., Wainwright, Martin J.M. J. andYu, BinB. (2012). A unified framework for high-dimensional analysis of M M -estimators with decomposable regularizers. Statist. Sci. 27 538–557
2012
Cited alongside, same era.
Berk, RichardR., Brown, LawrenceL., Buja, AndreasA., Zhang, KaiK. andZhao, LindaL. (2013). Valid post-selection inference. Ann. Statist. 41 802–837
2013
Cited alongside, same era.
2013
Cited alongside, same era.
2014
Closest in time.
2014
Closest in time.
Zhang, Cun-HuiC.-H. andZhang, Stephanie S.S. S. (2014). Confidence intervals for low dimensional parameters in high dimensional linear models. J. R. Stat. Soc. Ser. B. Stat. Methodol. 76 217–242
2014
Closest in time.
2015
Closest in time.
2015
Closest in time.
Storey, John D.J. D. (2003). The positive false discovery rate: A Bayesian interpretation and the q q -value. Ann. Statist. 31 2013–2035
2035
Closest in time.