Variable selection with error control: Another look at Stability Selection

27 May 2011

Papers citing "Variable selection with error control: Another look at Stability Selection"

27 / 77 papers shown

Title
Boosting Factor-Specific Functional Historical Models for the Detection of Synchronisation in Bioelectrical Signals David Rügamer S. Brockhaus K. Gentsch K. Scherer S. Greven 15 31 0 20 Sep 2016
Boosting Joint Models for Longitudinal and Time-to-Event Data Elisabeth Waldmann D. Taylor-Robinson Nadja Klein Thomas Kneib T. Pressler M. Schmid A. Mayr 15 20 0 09 Sep 2016
Network-Guided Biomarker Discovery Chloé-Agathe Azencott 14 5 0 27 Jul 2016
Structure Learning in Graphical Modeling Mathias Drton Marloes H. Maathuis CML 31 245 0 07 Jun 2016
Latent variable model selection for Gaussian conditional random fields Benjamin Frot L. Jostins G. McVean CML 14 12 0 20 Dec 2015
Goodness of fit tests for high-dimensional linear models Rajen Dinesh Shah Peter Buhlmann 14 46 0 10 Nov 2015
A Unified Theory of Confidence Regions and Testing for High Dimensional Estimating Equations Matey Neykov Y. Ning Jun S. Liu Han Liu 11 76 0 30 Oct 2015
A Novel Approach for Stable Selection of Informative Redundant Features from High Dimensional fMRI Data Yilun Wang Zhiqiang Li Yifeng Wang Xiaona Wang Junjie Zheng Xujuan Duan Huafu Chen 25 9 0 27 Jun 2015
Randomized Structural Sparsity based Support Identification with Applications to Locating Activated or Discriminative Brain Areas: A Multi-center Reproducibility Study Yilun Wang Sheng Zhang Junjie Zheng Heng Chen Huafu Chen OOD 20 3 0 07 Jun 2015
High-dimensional Ordinary Least-squares Projection for Screening Variables Xiangyu Wang Chenlei Leng 22 125 0 05 Jun 2015
Kernel Meets Sieve: Post-Regularization Confidence Bands for Sparse Additive Model Junwei Lu Mladen Kolar Han Liu 28 23 0 10 Mar 2015
A General Theory of Hypothesis Tests and Confidence Regions for Sparse High Dimensional Models Y. Ning Han Liu 20 306 0 30 Dec 2014
A General Framework for Robust Testing and Confidence Regions in High-Dimensional Quantile Regression Tianqi Zhao Mladen Kolar Han Liu 33 42 0 30 Dec 2014
On Semiparametric Exponential Family Graphical Models Zhuoran Yang Y. Ning Han Liu 25 32 0 30 Dec 2014
The Benefit of Group Sparsity in Group Inference with De-biased Scaled Group Lasso Ritwik Mitra Cun-Hui Zhang 24 46 0 13 Dec 2014
A Likelihood Ratio Framework for High Dimensional Semiparametric Regression Y. Ning Tianqi Zhao Han Liu 36 35 0 06 Dec 2014
Controlling false discoveries in high-dimensional situations: Boosting with stability selection B. Hofner L. Boccuto M. Göker 23 131 0 05 Nov 2014
Optimal Two-Step Prediction in Regression Didier Chételat Johannes Lederer Joseph Salmon 24 19 0 18 Oct 2014
Randomized Structural Sparsity via Constrained Block Subsampling for Improved Sensitivity of Discriminative Voxel Identification Yilun Wang Junjie Zheng Sheng Zhang Xujun Duan Huafu Chen OOD 24 17 0 17 Oct 2014
Sparse Estimation with Strongly Correlated Variables using Ordered Weighted L1 Regularization Mário A. T. Figueiredo Robert D. Nowak 25 28 0 14 Sep 2014
Extensions of stability selection using subsamples of observations and covariates A. Beinrucker Ürün Dogan Gilles Blanchard 40 21 0 18 Jul 2014
Stabilized Nearest Neighbor Classifier and Its Statistical Properties Wei Sun Xingye Qiao Guang Cheng 25 0 0 26 May 2014
Semi-Penalized Inference with Direct False Discovery Rate Control in High-Dimensions Jian Huang Shuangge Ma Cun-Hui Zhang Yong Zhou 57 6 0 29 Nov 2013
Sequential Selection Procedures and False Discovery Rate Control M. G'Sell Stefan Wager Alexandra Chouldechova Robert Tibshirani 33 167 0 20 Sep 2013
Randomized maximum-contrast selection: subagging for large-scale regression Jelena Bradic 43 13 0 14 Jun 2013
Estimation Stability with Cross Validation (ESCV) Chinghway Lim Bin Yu 37 107 0 13 Mar 2013
On asymptotically optimal confidence regions and tests for high-dimensional models Sara van de Geer Peter Buhlmann Yaácov Ritov Ruben Dezeure 44 1,064 0 03 Mar 2013