On testing the missing at random assumption

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4212 LNAI, Issue , 2006, Pages 671-678

  Jaeger, Manfred ^a  

^a AALBORG UNIVERSITY   (Denmark)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; CONSTRAINT THEORY; MAXIMUM LIKELIHOOD ESTIMATION; OPTIMIZATION; RANDOM PROCESSES;

BAYES ASSUMPTIONS; DISTRIBUTIONAL CONSTRAINTS; LIKELIHOOD FUNCTIONS; SYNTHETIC DATA;

LEARNING SYSTEMS;

EID: 33750380812     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11871842_66     Document Type: Conference Paper

References (7)

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3. D. F. Heitjan and D. B. Rubin. Ignorability and coarse data. The Annals of Statistics, 19(4):2244-2253, 1991.
4. M. Jaeger. Ignorability for categorical data. The Annals of Statistics, 33(4):1964-1981, 2005.
5. M. Jaeger. The AI&M procedure for learning from incomplete data. In Proceedings of UAI-06, 2006. To appear.
6. C. Manski. Partial Identification of Probability Distributions. Springer, 2003.
7. D.B. Rubin. Inference and missing data. Biometrika, 63(3):581-592, 1976.