Selective Sequential Model Selection

A new look at the statistical model identification

Hirotugu Akaike · 1974

Earlier work this paper cites.

On closed testing procedures with special reference to ordered analysis of variance

R. Marcus, E. Peritz, and K. R. Gabriel · 1975

Earlier work this paper cites.

Estimating the dimension of a model

Gideon Schwarz et al · 1978

Earlier work this paper cites.

Classification and regression trees

Leo Breiman, Jerome Friedman, Charles J Stone, and Richard A Olshen · 1984

Earlier work this paper cites.

Empirical model-building and response surfaces , volume 424

George EP Box and Norman Richard Draper · 1987

Earlier work this paper cites.

Controlling the false discovery rate: a practical and powerful approach to multiple testing

Yoav Benjamini and Yosef Hochberg · 1995

Earlier work this paper cites.

Least angle regression

B. Efron, T. Hastie, I. Johnstone, and R. Tibshirani · 2004

Earlier work this paper cites.

High-dimensional graphs and variable selection with the lasso

Nicolai Meinshausen and Peter Bühlmann · 2006

Earlier work this paper cites.

On model selection consistency of lasso

Peng Zhao and Bin Yu · 2006

Earlier work this paper cites.

A simple forward selection procedure based on false discovery rate control

Yoav Benjamini, Yulia Gavrilov, et al · 2009

Earlier work this paper cites.

Simultaneous analysis of lasso and dantzig selector

Peter J Bickel, Ya’acov Ritov, and Alexandre B Tsybakov · 2009

Cited alongside, same era.

A unified framework for high-dimensional analysis of m m -estimators with decomposable regularizers

Sahand Negahban, Bin Yu, Martin J Wainwright, and Pradeep K Ravikumar · 2009

Cited alongside, same era.

On the conditions used to prove oracle results for the lasso

Sara A Van De Geer, Peter Bühlmann, et al · 2009

Cited alongside, same era.

Sharp thresholds for high-dimensional and noisy sparsity recovery using-constrained quadratic programming (lasso)

Martin J Wainwright · 2009

Cited alongside, same era.

Stability selection

Nicolai Meinshausen and Peter Bühlmann · 2010

Cited alongside, same era.

Sequential selection procedures and false discovery rate control

Original

Discussion: A significance test for the lasso

Andeas Buja and Larry Brown · 2014

Later among the works it cites.

Selecting the number of principal components: estimation of the true rank of a noisy matrix

Original

Yunjin Choi, Jonathan Taylor, and Robert Tibshirani · 2014

Later among the works it cites.

Optimal inference after model selection

Original

William Fithian, Dennis Sun, and Jonathan Taylor · 2014

Later among the works it cites.

A significance test for forward stepwise model selection

Original

Joshua R Loftus and Jonathan E Taylor · 2014

Later among the works it cites.

Exact post-selection inference for sequential regression procedures

Original

Ryan J Tibshirani, Jonathan Taylor, Richard Lockhart, and Robert Tibshirani · 2014