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Volumn 15, Issue 3, 2007, Pages 343-354

On the impact of contaminations in graphical Gaussian models

Author keywords

Concentration graph models; Contaminants; Graphical models selection; Model deviation; Multivariate normal distribution; Robustness

Indexed keywords


EID: 33846671505     PISSN: 16182510     EISSN: 1613981X     Source Type: Journal    
DOI: 10.1007/s10260-006-0041-5     Document Type: Article
Times cited : (3)

References (17)
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    • Azzalini, A.1    Della Valle, A.2
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    • Conditional independence in statistical theory (with discussion)
    • Dawid AP (1979) Conditional independence in statistical theory (with discussion). J R Stat Soc Ser B 41:1-31
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    • Dawid, A.P.1
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    • Covariance selection
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    • (1972) Biometrics , vol.28 , pp. 157-175
    • Dempster, A.M.1
  • 11
    • 33645315489 scopus 로고    scopus 로고
    • Distorion in statistical inference: The distinction between data contamination and model deviation
    • Grunert da Fonseca V, Fieller NRJ (2006) Distorion in statistical inference: the distinction between data contamination and model deviation. Metrika 63:169-190
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    • Grunert da Fonseca, V.1    Fieller, N.R.J.2
  • 12
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    • eds, Between data science and applied data analysis. Springer, Berlin Heildberg New York, pp
    • Kuhnt S, Becker C (2003) Sensitivity of graphical modeling against contamination. In: Schader M, Gaul W, Vichi M (eds), Between data science and applied data analysis. Springer, Berlin Heildberg New York, pp. 279-287
    • (2003) Sensitivity of graphical modeling against contamination , pp. 279-287
    • Kuhnt, S.1    Becker, C.2
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    • Standard errors for the parameters of graphical Gaussian models
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    • Roverato, A.1    Whittaker, J.2
  • 16
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    • Rectangular confidence regions for the means of multivariate normal distributions
    • Šidák Z (1967) Rectangular confidence regions for the means of multivariate normal distributions. J Am Stat Assoc 62:626-633
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    • Šidák, Z.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.