暂无分享,去创建一个
[1] W. J. Thron,et al. Encyclopedia of Mathematics and its Applications. , 1982 .
[2] L. L. Cam,et al. Asymptotic Methods In Statistical Decision Theory , 1986 .
[3] L. Evans. Measure theory and fine properties of functions , 1992 .
[4] R. Schneider. Convex Bodies: The Brunn–Minkowski Theory: Minkowski addition , 1993 .
[5] Jiahua Chen. Optimal Rate of Convergence for Finite Mixture Models , 1995 .
[6] W. Wong,et al. Probability inequalities for likelihood ratios and convergence rates of sieve MLEs , 1995 .
[7] L. Dümbgen,et al. RATES OF CONVERGENCE FOR RANDOM APPROXIMATIONS OF CONVEX SETS , 1996 .
[8] Bin Yu. Assouad, Fano, and Le Cam , 1997 .
[9] A. Tsybakov. On nonparametric estimation of density level sets , 1997 .
[10] Grace L. Yang,et al. Festschrift for Lucien Le Cam , 1997 .
[11] L. Wasserman,et al. The consistency of posterior distributions in nonparametric problems , 1999 .
[12] S. Geer. Empirical Processes in M-Estimation , 2000 .
[13] A. V. D. Vaart,et al. Convergence rates of posterior distributions , 2000 .
[14] P. Donnelly,et al. Inference of population structure using multilocus genotype data. , 2000, Genetics.
[15] L. Wasserman,et al. Rates of convergence of posterior distributions , 2001 .
[16] Lancelot F. James,et al. Bayesian Model Selection in Finite Mixtures by Marginal Density Decompositions , 2001 .
[17] S. R. Jammalamadaka,et al. Empirical Processes in M-Estimation , 2001 .
[18] Michael I. Jordan,et al. Latent Dirichlet Allocation , 2001, J. Mach. Learn. Res..
[19] S. Walker. New approaches to Bayesian consistency , 2004, math/0503672.
[20] Michael Frazier,et al. Studies in Advanced Mathematics , 2004 .
[21] A. V. D. Vaart,et al. Convergence rates of posterior distributions for non-i.i.d. observations , 2007, 0708.0491.
[22] S. Walker,et al. On rates of convergence for posterior distributions in infinite-dimensional models , 2007, 0708.1892.
[23] C. Villani. Optimal Transport: Old and New , 2008 .
[24] Elisabeth Gassiat,et al. Variable selection in model-based clustering using multilocus genotype data , 2009, Adv. Data Anal. Classif..
[25] K. Mengersen,et al. Asymptotic behaviour of the posterior distribution in overfitted mixture models , 2011 .
[26] Sanjeev Arora,et al. Learning Topic Models -- Going beyond SVD , 2012, 2012 IEEE 53rd Annual Symposium on Foundations of Computer Science.
[27] Anima Anandkumar,et al. Two SVDs Suffice: Spectral decompositions for probabilistic topic modeling and latent Dirichlet allocation , 2012, NIPS 2012.
[28] X. Nguyen. Convergence of latent mixing measures in finite and infinite mixture models , 2011, 1109.3250.
[29] Anima Anandkumar,et al. A Spectral Algorithm for Latent Dirichlet Allocation , 2012, Algorithmica.