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Volumn 119, Issue 1, 2001, Pages 57-75

Approximating the marginal likelihood estimate for models with random parameters

Author keywords

[No Author keywords available]

Indexed keywords

LAPLACE TRANSFORMS; MATHEMATICAL MODELS; MAXIMUM LIKELIHOOD ESTIMATION; MONTE CARLO METHODS; RANDOM PROCESSES;

EID: 0034817619     PISSN: 00963003     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0096-3003(99)00230-1     Document Type: Article
Times cited : (15)

References (19)
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    • Pinheiro, J.C.1    Bates, D.M.2
  • 10
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    • Asymptotic properties of maximum likelihood estimators for the independent not identically distributed case
    • B. Hoadley, Asymptotic properties of maximum likelihood estimators for the independent not identically distributed case, Annl. Math. Statis. 42 (6) (1977).
    • (1977) Annl. Math. Statis. , vol.42 , Issue.6
    • Hoadley, B.1
  • 12
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    • Elimination of nuisance parameters with reference priors
    • B. Lieso, Elimination of nuisance parameters with reference priors, Biometrika 82 (2) (1993) 295-304.
    • (1993) Biometrika , vol.82 , Issue.2 , pp. 295-304
    • Lieso, B.1
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    • Alternative approaches to estimation of population pharmacokinetic parameters
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    • Steimer, J.L.1
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    • Likelihood functions for inference in the presence of a nuisance parameter
    • T.A. Severini, Likelihood functions for inference in the presence of a nuisance parameter, Biometrika 85 (3) (1998) 507-522.
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    • Severini, T.A.1
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    • An EM algorithm for non-linear random effects models
    • S. Walker, An EM algorithm for non-linear random effects models, Biometrics 52 (1996) 934-944.
    • (1996) Biometrics , vol.52 , pp. 934-944
    • Walker, S.1
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    • A note on the use of Laplace's approximation for non-linear mixed-effects models
    • E.F. Vonesh, A note on the use of Laplace's approximation for non-linear mixed-effects models, Biometrika 83 (2) (1996).
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