SOME RECENT RESULTS IN MODEL SELECTION
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Xiaoming Huo | Xuelei Ni | X. Huo | X. Ni
[1] W. Loh,et al. Consistent Variable Selection in Linear Models , 1995 .
[2] Xiaotong Shen,et al. Optimal Model Assessment, Selection, and Combination , 2006 .
[3] Jie Chen,et al. Sparse representations for multiple measurement vectors (MMV) in an over-complete dictionary , 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..
[4] I. Johnstone,et al. Adapting to Unknown Smoothness via Wavelet Shrinkage , 1995 .
[5] C. Nachtsheim,et al. Model‐free variable selection , 2005 .
[6] Y. C. Pati,et al. Orthogonal matching pursuit: recursive function approximation with applications to wavelet decomposition , 1993, Proceedings of 27th Asilomar Conference on Signals, Systems and Computers.
[7] Yoram Bresler,et al. On the Optimality of the Backward Greedy Algorithm for the Subset Selection Problem , 2000, SIAM J. Matrix Anal. Appl..
[8] Michael A. Saunders,et al. Atomic Decomposition by Basis Pursuit , 1998, SIAM J. Sci. Comput..
[9] J. Tropp. JUST RELAX: CONVEX PROGRAMMING METHODS FOR SUBSET SELECTION AND SPARSE APPROXIMATION , 2004 .
[10] Xiaoming Huo,et al. Uncertainty principles and ideal atomic decomposition , 2001, IEEE Trans. Inf. Theory.
[11] Jianqing Fan,et al. Variable Selection for Cox's proportional Hazards Model and Frailty Model , 2002 .
[12] S. Mallat. A wavelet tour of signal processing , 1998 .
[13] Joel A. Tropp,et al. Greed is good: algorithmic results for sparse approximation , 2004, IEEE Transactions on Information Theory.
[14] Jianqing Fan,et al. Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties , 2001 .
[15] X. Huo,et al. When do stepwise algorithms meet subset selection criteria , 2007, 0708.2149.
[16] Jianqing Fan,et al. New Estimation and Model Selection Procedures for Semiparametric Modeling in Longitudinal Data Analysis , 2004 .
[17] Zhifeng Zhang,et al. Adaptive time-frequency decompositions , 1994 .
[18] Xiaotong Shen,et al. Adaptive Model Selection , 2002 .
[19] Xiaotong Shen,et al. Inference After Model Selection , 2004 .
[20] N. Lazar,et al. Methods and Criteria for Model Selection , 2004 .
[21] M. R. Osborne,et al. A new approach to variable selection in least squares problems , 2000 .
[22] C. H. Oh,et al. Some comments on , 1998 .
[23] R. Tibshirani. Regression Shrinkage and Selection via the Lasso , 1996 .
[24] M. R. Osborne,et al. On the LASSO and its Dual , 2000 .
[25] Robert Tibshirani,et al. The Entire Regularization Path for the Support Vector Machine , 2004, J. Mach. Learn. Res..
[26] A. Atkinson. Subset Selection in Regression , 1992 .
[27] B. Efron. The Estimation of Prediction Error , 2004 .
[28] G. Schwarz. Estimating the Dimension of a Model , 1978 .
[29] Lexin Li,et al. Longitudinal data model selection , 2006, Comput. Stat. Data Anal..
[30] Steven G. Gilmour,et al. The Interpretation of Mallows's CP‐Statistic , 1996 .
[31] Anthony C. Atkinson,et al. Exploring Multivariate Data with the Forward Search , 2004 .
[32] Jianming Ye. On Measuring and Correcting the Effects of Data Mining and Model Selection , 1998 .
[33] R. Tibshirani,et al. Least angle regression , 2004, math/0406456.
[34] E. George. The Variable Selection Problem , 2000 .
[35] Robert Tibshirani,et al. The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd Edition , 2001, Springer Series in Statistics.
[36] Dean P. Foster,et al. Calibration and empirical Bayes variable selection , 2000 .
[37] Michael Elad,et al. Stable recovery of sparse overcomplete representations in the presence of noise , 2006, IEEE Transactions on Information Theory.
[38] Dmitry M. Malioutov,et al. Homotopy continuation for sparse signal representation , 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..