Optimal Subsampling Algorithms for Big Data Generalized Linear Models
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[1] Petros Drineas,et al. Fast Monte Carlo Algorithms for Matrices I: Approximating Matrix Multiplication , 2006, SIAM J. Comput..
[2] R Core Team,et al. R: A language and environment for statistical computing. , 2014 .
[3] J. Sacks,et al. Artic sea ice variability: Model sensitivities and a multidecadal simulation , 1994 .
[4] Michael W. Mahoney. Randomized Algorithms for Matrices and Data , 2011, Found. Trends Mach. Learn..
[5] S. Muthukrishnan,et al. Sampling algorithms for l2 regression and applications , 2006, SODA '06.
[6] Shifeng Xiong,et al. Some results on the convergence of conditional distributions , 2008 .
[7] M. Silvapulle. On the Existence of Maximum Likelihood Estimators for the Binomial Response Models , 1981 .
[8] L. Brown. Fundamentals of statistical exponential families: with applications in statistical decision theory , 1986 .
[9] David P. Woodruff,et al. Fast approximation of matrix coherence and statistical leverage , 2011, ICML.
[10] Anthony C. Atkinson,et al. Optimum Experimental Designs, with SAS , 2007 .
[11] Jinzhu Jia,et al. Elastic-net Regularized High-dimensional Negative Binomial Regression: Consistency and Weak Signals Detection , 2017, 1712.03412.
[12] P. Deb,et al. Demand for Medical Care by the Elderly: A Finite Mixture Approach , 1997 .
[13] Jean-Michel Loubes,et al. Oracle Inequalities for a Group Lasso Procedure Applied to Generalized Linear Models in High Dimension , 2013, IEEE Transactions on Information Theory.
[14] T. Ferguson. A Course in Large Sample Theory , 1996 .
[15] M. H. Hansen,et al. On the Theory of Sampling from Finite Populations , 1943 .