Computing estimates in the proportional odds model

Annals of the Institute of Statistical Mathematics

Volumn 54, Issue 1, 2002, Pages 155-168

  Hunter, David R ^a   Lange, Kenneth ^b  

^a PENNSYLVANIA STATE UNIVERSITY   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Majorization; MM algorithm; Newton Raphson; Proportional odds; Quasi Newton; Survival analysis

Indexed keywords

ALGORITHMS; COMPUTATIONAL METHODS; CONVERGENCE OF NUMERICAL METHODS; MATHEMATICAL MODELS; MAXIMUM LIKELIHOOD ESTIMATION;

MINORIZATION-MAXIMIZATION (MM) ALGORITHMS;

STATISTICAL METHODS;

EID: 6444245816     PISSN: 00203157     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1016126007531     Document Type: Article

References (21)

1. EM algorithms without missing data
2. Analysis of survival data by the proportional odds model
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5. Regression models and life tables (with discussion)
6. Variable metric methods for minimization
7. Block-relaxation algorithms in statistics
8. Maximum likelihood from incomplete data via the EM algorithm
9. Computing optimal locally constrained steps
10. Convergent computation by iterative majorization
11. Rejoinder to discussion of optimization transfer using surrogate objective functions
12. Quasi-Newton acceleration of the EM algorithm
13. A theoretical and experimental study of the symmetric rank one update
14. A gradient algorithm locally equivalent to the EM algorithm
15. Optimization transfer algorithms using surrogate objective functions (with discussion)
16. MLE in the proportional odds model