THE EM ALGORITHM FOR GRAPHICAL ASSOCIATION MODELS WITH MISSING DATA

被引：476

作者：

LAURITZEN, SL ^{[1
]}

机构：

[1] AALBORG UNIV,INST ELECTR SYST,DEPT MATH & COMP SCI,DK-9220 AALBORG O,DENMARK

来源：

COMPUTATIONAL STATISTICS & DATA ANALYSIS | 1995年 / 19卷 / 02期

关键词：

CONTINGENCY TABLES; BELIEF NETWORKS; DECOMPOSABLE MODELS; EXPERT SYSTEMS; HIERARCHICAL MODELS; LATENT VARIABLES; PROBABILITY PROPAGATION; RECURSIVE MODELS;

D O I：

10.1016/0167-9473(93)E0056-A

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

It is shown how the computational scheme of Lauritzen and Spiegelhalter (1988) can be exploited to perform the E-step of the EM algorithm when applied to finding maximum likelihood estimates or penalized maximum likelihood estimates in hierarchical log-linear models and recursive models for contingency tables with missing data. The generalization to mixed association models introduced in Lauritzen and Wermuth (1989) and Edwards (1990) is indicated.

引用

页码：191 / 201

页数：11

共 48 条

[1] ANDERSEN AH, 1974, SCAND J STAT, V1, P115
[2] ANDERSEN SK, 1989, 11TH P INT JOINT C A, P1080
[3] Andreassen S., 1989, COMPUTER AIDED ELECT
[4] BARNDORFFNIELSE.O, 1978, INFORMATION EXPONENT
[5] 2-DIMENSIONAL CONTINGENCY-TABLES WITH BOTH COMPLETELY AND PARTIALLY CROSS-CLASSIFIED DATA
CHEN, T
FIENBERG, SE
[J]. BIOMETRICS, 1974, 30 (04) : 629 - 642
[6] ANALYSIS OF CONTINGENCY-TABLES WITH INCOMPLETELY CLASSIFIED DATA
CHEN, T
FIENBERG, SE
[J]. BIOMETRICS, 1976, 32 (01) : 133 - 144
[7] GENERALIZED ITERATIVE SCALING FOR LOG-LINEAR MODELS
DARROCH, JN
RATCLIFF, D
[J]. ANNALS OF MATHEMATICAL STATISTICS, 1972, 43 (05): : 1470 - &
[8] ADDITIVE AND MULTIPLICATIVE MODELS AND INTERACTIONS
DARROCH, JN
SPEED, TP
[J]. ANNALS OF STATISTICS, 1983, 11 (03) : 724 - 738
[9] MARKOV-FIELDS AND LOG-LINEAR INTERACTION MODELS FOR CONTINGENCY-TABLES
DARROCH, JN
LAURITZEN, SL
SPEED, TP
[J]. ANNALS OF STATISTICS, 1980, 8 (03) : 522 - 539
[10] Dawid A. P., 1992, Statistics and Computing, V2, P25, DOI 10.1007/BF01890546

← 1 2 3 4 5 →