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Volumn 54, Issue 4, 2000, Pages 257-268

Model Selection using the Minimum Description Length Principle

Author keywords

Data analysis; Information theory; Minimum description length; Model selection; Stochastic complexity

Indexed keywords


EID: 0034556047     PISSN: 00031305     EISSN: 15372731     Source Type: Journal    
DOI: 10.1080/00031305.2000.10474558     Document Type: Article
Times cited : (11)

References (22)
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  • 2
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  • 3
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  • 9
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    • Model Selection and the Principle of Minimum Description Length
    • Murray Hill, NJ
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    • Hansen, M.H.1    Yu, B.2
  • 13
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    • Principal Components Selection by the Criterion of the Minimum Mean Difference of Complexity
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  • 14
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    • Generalised Linear Model Selection by the Predictive Least Quasi-Deviance Criterion
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    • Qian, G.1    Gabor, G.2    Gupta, R.P.3
  • 15
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    • Test for Homogeneity of Several Populations by Stochastic Complexity
    • Qian, G., Gupta, R. P., and Gabor, G. (1996b), “Test for Homogeneity of Several Populations by Stochastic Complexity,” Journal of Statistical Planning and Inference, 53, 133-151.
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  • 18
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    • Minimum Description Length Principle
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  • 20
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  • 21
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.