EMVS: The EM Approach to Bayesian Variable Selection
暂无分享,去创建一个
[1] Michael Ruogu Zhang,et al. Comprehensive identification of cell cycle-regulated genes of the yeast Saccharomyces cerevisiae by microarray hybridization. , 1998, Molecular biology of the cell.
[2] J. S. Rao,et al. Spike and slab variable selection: Frequentist and Bayesian strategies , 2005, math/0505633.
[3] J. Griffin,et al. BAYESIAN HYPER‐LASSOS WITH NON‐CONVEX PENALIZATION , 2011 .
[4] Shai Shalev-Shwartz,et al. Stochastic dual coordinate ascent methods for regularized loss , 2012, J. Mach. Learn. Res..
[5] E. George,et al. Journal of the American Statistical Association is currently published by American Statistical Association. , 2007 .
[6] Edward I. George,et al. Empirical Bayes vs. Fully Bayes Variable Selection , 2008 .
[7] E. George,et al. APPROACHES FOR BAYESIAN VARIABLE SELECTION , 1997 .
[8] L. Pericchi,et al. BAYES FACTORS AND MARGINAL DISTRIBUTIONS IN INVARIANT SITUATIONS , 2016 .
[9] Eduard Belitser,et al. Needles and straw in a haystack: Robust confidence for possibly sparse sequences , 2015, Bernoulli.
[10] Yuzo Maruyama,et al. Fully Bayes factors with a generalized g-prior , 2008, 0801.4410.
[11] Joseph G. Ibrahim,et al. Bayesian Variable Selection , 2000 .
[12] Michael I. Jordan,et al. Graphical Models, Exponential Families, and Variational Inference , 2008, Found. Trends Mach. Learn..
[13] Naonori Ueda,et al. Deterministic annealing EM algorithm , 1998, Neural Networks.
[14] M. Clyde,et al. Mixtures of g Priors for Bayesian Variable Selection , 2008 .
[15] James G. Scott,et al. The horseshoe estimator for sparse signals , 2010 .
[16] Mário A. T. Figueiredo. Adaptive Sparseness for Supervised Learning , 2003, IEEE Trans. Pattern Anal. Mach. Intell..
[17] Francesco C Stingo,et al. A BAYESIAN GRAPHICAL MODELING APPROACH TO MICRORNA REGULATORY NETWORK INFERENCE. , 2011, The annals of applied statistics.
[18] Sylvia Richardson,et al. Evolutionary Stochastic Search for Bayesian model exploration , 2010, 1002.2706.
[19] Takeshi Hayashi,et al. EM algorithm for Bayesian estimation of genomic breeding values , 2010, BMC Genetics.
[20] R. Tibshirani. Regression Shrinkage and Selection via the Lasso , 1996 .
[21] M. West,et al. Shotgun Stochastic Search for “Large p” Regression , 2007 .
[22] H. Bussemaker,et al. Regulatory element detection using correlation with expression , 2001, Nature Genetics.
[23] N. Zhang,et al. Bayesian Variable Selection in Structured High-Dimensional Covariate Spaces With Applications in Genomics , 2010 .
[24] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .
[25] Marina Vannucci,et al. Variable selection for discriminant analysis with Markov random field priors for the analysis of microarray data , 2011, Bioinform..
[26] Pietro Liò,et al. Identification of DNA regulatory motifs using Bayesian variable selection , 2004, Bioinform..
[27] Oleg Okun,et al. Bayesian Variable Selection , 2014 .
[28] W. Strawderman. Proper Bayes Minimax Estimators of the Multivariate Normal Mean , 1971 .
[29] Geoffrey J. McLachlan,et al. Mixture models : inference and applications to clustering , 1989 .
[30] Jianqing Fan,et al. Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties , 2001 .
[31] J. Griffin,et al. Alternative prior distributions for variable selection with very many more variables than observations , 2005 .
[32] James G. Scott,et al. Bayes and empirical-Bayes multiplicity adjustment in the variable-selection problem , 2010, 1011.2333.
[33] M. Sobel,et al. Dirichlet Lasso: A Bayesian approach to variable selection , 2015 .