Sparse Bayesian linear regression using generalized normal priors
暂无分享,去创建一个
[1] M. Yuan,et al. Model selection and estimation in regression with grouped variables , 2006 .
[2] R. Tibshirani,et al. Sparsity and smoothness via the fused lasso , 2005 .
[3] Michael E. Tipping. Sparse Bayesian Learning and the Relevance Vector Machine , 2001, J. Mach. Learn. Res..
[4] Chris Hans,et al. Model uncertainty and variable selection in Bayesian lasso regression , 2010, Stat. Comput..
[5] Zongben Xu,et al. The essential ability of sparse reconstruction of different compressive sensing strategies , 2011, Science China Information Sciences.
[6] James G. Scott,et al. The horseshoe estimator for sparse signals , 2010 .
[7] A. Gelman. Prior distributions for variance parameters in hierarchical models (comment on article by Browne and Draper) , 2004 .
[8] Robert B. Gramacy,et al. Shrinkage regression for multivariate inference with missing data, and an application to portfolio balancing , 2009, 0907.2135.
[9] G. Casella,et al. The Bayesian Lasso , 2008 .
[10] G. Schwarz. Estimating the Dimension of a Model , 1978 .
[11] M. Steel,et al. BAYESIAN REGRESSION ANALYSIS WITH SCALE MIXTURES OF NORMALS , 2000, Econometric Theory.
[12] P. Green. Reversible jump Markov chain Monte Carlo computation and Bayesian model determination , 1995 .
[13] Jianqing Fan,et al. Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties , 2001 .
[14] Stephen P. Boyd,et al. Enhancing Sparsity by Reweighted ℓ1 Minimization , 2007, 0711.1612.
[15] A. E. Hoerl,et al. Ridge Regression: Applications to Nonorthogonal Problems , 1970 .
[16] Mário A. T. Figueiredo. Adaptive Sparseness for Supervised Learning , 2003, IEEE Trans. Pattern Anal. Mach. Intell..
[17] Yufeng Liu,et al. VARIABLE SELECTION IN QUANTILE REGRESSION , 2009 .
[18] H. Zou. The Adaptive Lasso and Its Oracle Properties , 2006 .
[19] J. Griffin,et al. Inference with normal-gamma prior distributions in regression problems , 2010 .
[20] R. Tibshirani,et al. Sparse inverse covariance estimation with the graphical lasso. , 2008, Biostatistics.
[21] Xiaohui Chen,et al. A Bayesian Lasso via reversible-jump MCMC , 2011, Signal Process..
[22] Robert D. Nowak,et al. Majorization–Minimization Algorithms for Wavelet-Based Image Restoration , 2007, IEEE Transactions on Image Processing.
[23] Wang Yao,et al. L 1/2 regularization , 2010 .
[24] R. Tibshirani,et al. PATHWISE COORDINATE OPTIMIZATION , 2007, 0708.1485.
[25] Chris Hans. Bayesian lasso regression , 2009 .
[26] M. West. On scale mixtures of normal distributions , 1987 .