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Volumn 10, Issue 1, 2000, Pages 55-62

A comparison of scientific and engineering criteria for Bayesian model selection

Author keywords

Bayesian selection criteria; Model averaging; Model selection

Indexed keywords


EID: 0041683330     PISSN: 09603174     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1008936501289     Document Type: Article
Times cited : (21)

References (12)
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    • Bernardo, J.1
  • 3
    • 0002909152 scopus 로고
    • A comparison of the information and posterior probability criteria for model selection
    • Chow G. 1981. A comparison of the information and posterior probability criteria for model selection. Journal of Econometrics 16: 21-33.
    • (1981) Journal of Econometrics , vol.16 , pp. 21-33
    • Chow, G.1
  • 4
    • 34249832377 scopus 로고
    • A Bayesian method for the induction of probabilistic networks from data
    • Cooper G. and Herskovits E. 1992. A Bayesian method for the induction of probabilistic networks from data. Machine Learning 9: 309-347.
    • (1992) Machine Learning , vol.9 , pp. 309-347
    • Cooper, G.1    Herskovits, E.2
  • 5
    • 0000582742 scopus 로고
    • Statistical theory. The prequential approach
    • Dawid P. 1984. Statistical theory. The prequential approach (with discussion). Journal of the Royal Statistical Society A 147: 178-292.
    • (1984) Journal of the Royal Statistical Society A , vol.147 , pp. 178-292
    • Dawid, P.1
  • 6
    • 0042883437 scopus 로고
    • Technical Report 124, Department of Statistics, University of California, Los Angeles
    • Draper D. 1993. Assessment and propagation of model uncertainty. Technical Report 124, Department of Statistics, University of California, Los Angeles.
    • (1993) Assessment and Propagation of Model Uncertainty
    • Draper, D.1
  • 7
    • 34249761849 scopus 로고
    • Learning Bayesian networks: The combination of knowledge and statistical data
    • Heckerman D., Geiger D., and Chickering D. 1995. Learning Bayesian networks: The combination of knowledge and statistical data. Machine Learning 20: 197-243.
    • (1995) Machine Learning , vol.20 , pp. 197-243
    • Heckerman, D.1    Geiger, D.2    Chickering, D.3
  • 9
    • 77956888769 scopus 로고
    • Causal diagrams for empirical research
    • Pearl J. 1995. Causal diagrams for empirical research. Biometrika 82: 669-710.
    • (1995) Biometrika , vol.82 , pp. 669-710
    • Pearl, J.1
  • 11
    • 0014257343 scopus 로고
    • Social class, parental encouragement, and educational aspirations
    • Sewell W. and Shah V. 1968. Social class, parental encouragement, and educational aspirations. American Journal of Sociology 73: 559-572.
    • (1968) American Journal of Sociology , vol.73 , pp. 559-572
    • Sewell, W.1    Shah, V.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.