A stochastic approximation algorithm with Markov chain Monte-Carlo method for incomplete data estimation problems

Proceedings of the National Academy of Sciences of the United States of America

Volumn 95, Issue 13, 1998, Pages 7270-7274

  Gu, Ming Gao ^a   Kong, Fan Hui ^b  

^a MCGILL UNIVERSITY   (Canada)

^b WESTAT   (United States)

Author keywords

Incomplete data; Logistic regression; Maximum likelihood estimation; Measurement error models; Metropolis algorithm

Indexed keywords

ALGORITHM; ARTICLE; ASSAY; MODEL; PRIORITY JOURNAL; PROBLEM SOLVING; REGRESSION ANALYSIS;

EID: 13144294075     PISSN: 00278424     EISSN: None     Source Type: Journal    
DOI: 10.1073/pnas.95.13.7270     Document Type: Article

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