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Volumn 1, Issue 4, 2006, Pages 687-698

Comment on article by Celeux et al.

Author keywords

Effective number of parameters; Information criteria; Missing data; Model selection; Statistical principles

Indexed keywords


EID: 70349238780     PISSN: 19360975     EISSN: 19316690     Source Type: Journal    
DOI: 10.1214/06-BA122D     Document Type: Note
Times cited : (6)

References (9)
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  • 2
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  • 3
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    • Model checking and model improvement
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    • Gelman, A. and Meng, X.-L. (1995). "Model checking and model improvement." In Practical Markov Chain Monte Carlo, 189-201. Chapman and Hall, London. 689
    • (1995) Practical Markov Chain Monte Carlo , pp. 189-201
    • Gelman, A.1    Meng, X.-L.2
  • 4
    • 25444484077 scopus 로고    scopus 로고
    • Posterior predictive assessment of model fitness via realized discrepancies (with discussion)
    • 689
    • Gelman, A., Meng, X.-L., and Stern, H. (1996). "Posterior predictive assessment of model fitness via realized discrepancies (with discussion)." Statistica Sinica, 6: 733- 806. 689
    • (1996) Statistica Sinica , vol.6 , pp. 733-806
    • Gelman, A.1    Meng, X.-L.2    Stern, H.3
  • 5
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    • On jointly estimating parameters and missing data by maximizing the complete-data likelihood
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  • 6
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    • Posterior predictive p-values
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    • Meng, X.-L.1
  • 9
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    • Conditional Akaike Information for Mixed Effects Models
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    • Vaida, F. and Blanchard, S. (2005). "Conditional Akaike Information for Mixed Effects Models." Biometrika, 92(2): 351-370. 692
    • (2005) Biometrika , vol.92 , Issue.2 , pp. 351-370
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.