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Volumn 60, Issue 3, 1998, Pages 497-536

Some algebra and geometry for hierarchical models, applied to diagnostics

Author keywords

Bayesian methods; Dynamic linear models; Multilevel models; Random effect models; Spatial data; Time varying regression; Variance components

Indexed keywords


EID: 0001750294     PISSN: 13697412     EISSN: None     Source Type: Journal    
DOI: 10.1111/1467-9868.00137     Document Type: Article
Times cited : (83)

References (16)
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    • Berger, J.O.1
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    • Besag, J.1    Kempton, R.2
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    • Monte Carlo Bayesian methods for discrete regression models and categorical time series
    • (eds J. M. Bernardo, J. O. Berger, A. P. Dawid and A. F. M. Smith), Oxford: Clarendon
    • Carlin, B. P. and Poison, N. G. (1992) Monte Carlo Bayesian methods for discrete regression models and categorical time series. In Bayesian Statistics 4 (eds J. M. Bernardo, J. O. Berger, A. P. Dawid and A. F. M. Smith), pp. 577-586. Oxford: Clarendon.
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    • Residual analysis and outliers in Bayesian hierarchical models
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    • Chaloner, K. (1994) Residual analysis and outliers in Bayesian hierarchical models. In Aspects of Uncertainty (eds A. F. M. Smith and P. R. Freeman), pp. 153-161. Chichester: Wiley.
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    • Chaloner, K.1
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    • Williams, D.A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.