Empirical Bayes deconvolution estimates
暂无分享,去创建一个
[1] Kung-Yee Liang,et al. Prediction of Random Effects in the Generalized Linear Model , 1993 .
[2] B. Efron. Defining the Curvature of a Statistical Problem (with Applications to Second Order Efficiency) , 1975 .
[3] F. Comte,et al. Adaptive estimation of linear functionals in the convolution model and applications , 2009, 0902.1443.
[4] P. Hall,et al. Optimal Rates of Convergence for Deconvolving a Density , 1988 .
[5] Bradley Efron,et al. Large-scale inference , 2010 .
[6] Bradley Efron,et al. Two modeling strategies for empirical Bayes estimation. , 2014, Statistical science : a review journal of the Institute of Mathematical Statistics.
[7] R. Carroll,et al. Deconvolving kernel density estimators , 1987 .
[8] Jianqing Fan. On the Optimal Rates of Convergence for Nonparametric Deconvolution Problems , 1991 .
[9] Lucas Janson,et al. Number of Lymph Nodes Removed and Survival after Gastric Cancer Resection: An Analysis from the US Gastric Cancer Collaborative. , 2015, Journal of the American College of Surgeons.
[10] B. Efron. Tweedie’s Formula and Selection Bias , 2011, Journal of the American Statistical Association.
[11] Alexander Meister,et al. A ridge-parameter approach to deconvolution , 2007, 0710.3491.
[12] E. Lander,et al. Gene expression correlates of clinical prostate cancer behavior. , 2002, Cancer cell.