The EM algorithm - An old folk-song sung to a fast new tune - Discussion
成果类型：
Editorial Material
署名作者：
Rubin, DB; Titterington, DM; Gilks, WR; Diebolt, J; Aitkin, M; Smith, CAB; Hinde, J; Kent, JT; Tyler, DE; Damien, P; Walker, S; Chauveau, D; Draper, D; Dupuis, JA; Fessler, J; Gelman, A; Green, PJ; Hero, AO; Lavielle, M; Liu, CH; Liu, JS; Roberts, GO; Sahu, SK; Torsney, B; Zaslavsky, AM
署名单位：
University of Glasgow; MRC Biostatistics Unit; Communaute Universite Grenoble Alpes; Universite Grenoble Alpes (UGA); Newcastle University - UK; University of London; University College London; University of Exeter; University of Leeds; Rutgers University System; Rutgers University New Brunswick; University of Michigan System; University of Michigan; Imperial College London; Universite Gustave-Eiffel; University of Bath; Universite de Toulouse; Universite Toulouse III - Paul Sabatier; Columbia University; University of Bristol; Universite Paris Cite; Nokia Corporation; Nokia Bell Labs; AT&T; Stanford University; University of Cambridge; Harvard University; Harvard Medical School
刊物名称：
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY
ISSN/ISSBN：
1369-7412
发表日期：
1997
页码：
541-567
关键词：
maximum-likelihood-estimation
multivariate t-distribution
monte-carlo
bayesian computation
boltzmann machine
ecm algorithm
mixed models
CONVERGENCE
location
implementation