Stability selection

Stability selection

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by Nicolai Meinshausen , Peter Bühlmann

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@TECHREPORT{Meinshausen_stabilityselection,
    author = {Nicolai Meinshausen and Peter Bühlmann},
    title = {Stability selection},
    institution = {},
    year = {}
}

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Abstract

Proofs subject to correction. Not to be reproduced without permission. Contributions to the discussion must not exceed 400 words. Contributions longer than 400 words will be cut by the editor. 1 2

Citations

1326	Schapire R: Experiments with a new boosting algorithm - Freund
1089	Atomic decomposition by basis pursuit - Chen, Donoho, et al. - 1998
999	Regression shrinkage and selection via the lasso - Tibshirani - 2006
845	Graphical models - Lauritzen - 1996
786	Random Forest - Breiman - 2001
699	Matching Pursuits with Time-Frequency Dictionaries - 27Mallat, Zhang - 1993
479	Least angle regression - Efron, Hastie, et al.
327	Greed is good: Algorithmic results for sparse approximation - Tropp - 2004
244	Optimally sparse representation in general (nonorthogonal) dictionaries via ℓ1 minimization - Donoho, Elad
233	High dimensional graphs and variable selection with the lasso - Meinshausen, Bühlmann
228	The Dantzig selector: statistical estimation when p is much larger than n - Candès, Tao - 2007
135	Classification of human lung carcinomas by mRNA expression profiling reveals distinct adenocarcinoma subclasses. Proc Natl Acad Sci U S A 98: 13790–13795 - Bhattacharjee, WG, et al. - 2001
118	The Adaptive Lasso and Its Oracle Properties - Zou - 2006
115	Sparse inverse covariance estimation with the graphical lasso - Friedman, Hastie, et al.
113	On model selection consistency of lasso - Zhao, Yu - 2006
107	Multiple hypothesis testing in microarray experiments - Dudoit - 2003
93	Pathwise coordinate optimization - Friedman, Hastie, et al.
92	T (2003) Consensus Clustering: A resampling-based method for class discovery and visualization of gene expression microarray data - Monti, Tamayo, et al.
87	Simultaneous analysis of lasso and dantzig selector - Bickel, Ritov, et al.
86	Model selection through sparse maximum likelihood estimation - Banerjee, Ghaoui, et al. - 2008
83	C (2005) Prediction of cancer outcome with microarrays: a multiple random validation strategy. Lancet 365: 488–492 - Michiels, Koscielny, et al.
82	Sharp thresholds for high-dimensional and noisy sparsity recovery using ℓ1-constrained quadratic programs - Wainwright
75	The group lasso for logistic regression - Meier, Geer, et al.
66	Lasso-type recovery of sparse representations for high-dimensional data - Meinshausen, Yu
63	Integrating regulatory motif discovery and genome-wide expression analysis - Conlon, Liu, et al. - 2003
59	Model selection and estimation in the Gaussian graphical model - Yuan, Lin
41	Regularized estimation of large covariance matrices - Bickel, Levina - 2008
41	Analyzing bagging - Bühlmann, Yu - 2002
41	Sparse permutation invariant covariance estimation - Rothman, Bickel, et al.
39	Gene selection: a Bayesian variable selection approach - Lee, Sha, et al. - 2003
35	Weak greedy algorithms - Temlyakov - 2000
35	The sparsity and bias of the lasso selection in highdimensional linear regression - Zhang, Huang
32	Sure independence screening for ultrahigh dimensional feature space - Fan, Lv - 2008
31	High-dimensional generalized linear models and the Lasso. The Ann - Geer - 2008
31	On model selection consistency of - Zhao, Yu
28	A note on the lasso and related procedures in model selection - Leng, Lin, et al. - 2006
26	Outcome signature genes in breast cancer: is there a unique set - Ein-Dor - 2005
26	Adaptive Forward-Backward Greedy Algorithm for Sparse Learning with Linear Models - Zhang - 2008
19	Optimal predictive model selection - Barbieri, Berger - 2004
19	Adaptive lasso for sparse high-dimensional regression models - Huang, Ma, et al. - 2008
19	Bolasso: Model consistent lasso estimation through the bootstrap. Arxiv preprint arxiv:0804.1302 - Bach - 2008
14	On the consistency of feature selection using greedy least squares regression - Zhang - 2009
10	Bayesian variable selection in multinomial probit models with application to spectral data and DNA microarrays - Sha, Vannucci, et al.
6	Reliable gene signatures for microarray classification: assessment of stability and performance - Davis, Gerick, et al. - 2006
6	2009 Mapping in structured populations by resample model averaging. Genetics 182 - Valdar, Holmes, et al.
6	Penalized linear unbiased selection - Zhang - 2007
4	A remark on the difference between sampling with and without replacement - Freedman - 1977
3	Experiments with a new boosting algorithm - Y, Schapire - 1996
2	Houwelingen (2004). High-dimensional data: p ≫ n in mathematical statistics and bio-medical applications - Geer, van
1	Bolasso: model consistent lasso estimation through the bootstrap. Preprint arxiv:0804.1302 - Selection - 2008