SOME RECENT RESULTS IN MODEL SELECTION

[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..