메뉴 건너뛰기




Volumn 46, Issue 4, 2004, Pages 430-440

Bayesian modeling of joint regressions for the mean and covariance matrix

Author keywords

Antedependence; Bayesian; Fisher scoring; Generalized linear models; Mean covariance modeling

Indexed keywords

BAYESIAN NETWORKS;

EID: 26844497946     PISSN: 03233847     EISSN: None     Source Type: Journal    
DOI: 10.1002/bimj.200210035     Document Type: Article
Times cited : (13)

References (21)
  • 1
    • 0023586174 scopus 로고
    • Modelling variance heterogeneity in Normal Regression using Glim
    • Aitkin, M. (1987). Modelling variance heterogeneity in Normal Regression using Glim. Applied Statistics 36, 332-339.
    • (1987) Applied Statistics , vol.36 , pp. 332-339
    • Aitkin, M.1
  • 2
    • 0033616359 scopus 로고    scopus 로고
    • A regression model for multivariate random length data
    • Barnhart, H., Kosinski, A. and Sampson A. (1999). A regression model for multivariate random length data. Statistics in Medicine 18, 199-211.
    • (1999) Statistics in Medicine , vol.18 , pp. 199-211
    • Barnhart, H.1    Kosinski, A.2    Sampson, A.3
  • 4
    • 26844437062 scopus 로고    scopus 로고
    • Unpublished Ph.D. thesis, Mathematics Institute, Universidade Federal do Rio de Janeiro
    • Cepeda, E. C. (2001). Variability modeling in generalized linear models. Unpublished Ph.D. thesis, Mathematics Institute, Universidade Federal do Rio de Janeiro.
    • (2001) Variability Modeling in Generalized Linear Models
    • Cepeda, E.C.1
  • 5
  • 6
    • 0031775898 scopus 로고    scopus 로고
    • Nonparametric estimation of covariance structure in longitudinal date
    • Diggle, P. and Verbyla, A. (1999). Nonparametric estimation of covariance structure in longitudinal date. Biometrics 54, 401-415.
    • (1999) Biometrics , vol.54 , pp. 401-415
    • Diggle, P.1    Verbyla, A.2
  • 8
    • 0042042167 scopus 로고    scopus 로고
    • Sampling from the posterior distribution in generalized linear mixed models
    • Gamerman, D. (1997b). Sampling from the posterior distribution in generalized linear mixed models. Statistics and Computing 7, 57-68.
    • (1997) Statistics and Computing , vol.7 , pp. 57-68
    • Gamerman, D.1
  • 10
    • 70350471314 scopus 로고
    • Multilevel mixed linear model analysis using iterative generalized least squares
    • Goldstein, H. (1986). Multilevel mixed linear model analysis using iterative generalized least squares. Biometrika 73, 43-56.
    • (1986) Biometrika , vol.73 , pp. 43-56
    • Goldstein, H.1
  • 11
    • 0000720618 scopus 로고
    • Ante-dependence analysis of and ordered set of variables
    • Gabriel, K. R. (1962). Ante-dependence analysis of and ordered set of variables. Annals of Mathematical Statistics 33, 201-212.
    • (1962) Annals of Mathematical Statistics , vol.33 , pp. 201-212
    • Gabriel, K.R.1
  • 12
    • 0001008891 scopus 로고
    • Estimating regression models with multiplicative heteroscedasticity
    • Harvey, A. (1974). Estimating regression models with multiplicative heteroscedasticity. Econometrica 44, 461-465.
    • (1974) Econometrica , vol.44 , pp. 461-465
    • Harvey, A.1
  • 13
    • 77956890234 scopus 로고
    • Monte Carlo sampling methods using Markov Chains and their applications
    • Hastings, W. K. (1970). Monte Carlo sampling methods using Markov Chains and their applications. Biometrika 57, 97-109.
    • (1970) Biometrika , vol.57 , pp. 97-109
    • Hastings, W.K.1
  • 14
    • 0023563816 scopus 로고
    • A method for comparing profiles of repeated measurements
    • Kenward, M. G. (1987). A method for comparing profiles of repeated measurements. Applied Statistics 36, 296-308.
    • (1987) Applied Statistics , vol.36 , pp. 296-308
    • Kenward, M.G.1
  • 16
    • 0033850850 scopus 로고    scopus 로고
    • Modeling nonstationary longitudinal Data
    • Núñez-Antón, V. and Zimmerman, D. (2000). Modeling nonstationary longitudinal Data. Biometrics 56, 699-705.
    • (2000) Biometrics , vol.56 , pp. 699-705
    • Núñez-Antón, V.1    Zimmerman, D.2
  • 17
    • 3843133868 scopus 로고    scopus 로고
    • On modeling mean-covariance structures in longitudinal studies
    • Pan, J. and Mackenzie, G. (2003). On modeling mean-covariance structures in longitudinal studies. Biometrika 90, 239-244.
    • (2003) Biometrika , vol.90 , pp. 239-244
    • Pan, J.1    Mackenzie, G.2
  • 18
    • 0012806293 scopus 로고    scopus 로고
    • Joint mean-covariance models with applications to longitudinal data: Unconstrained parameterization
    • Pourahmadi, M. (1999). Joint mean-covariance models with applications to longitudinal data: Unconstrained parameterization. Biometrika 86, 667-690.
    • (1999) Biometrika , vol.86 , pp. 667-690
    • Pourahmadi, M.1
  • 19
    • 0001304198 scopus 로고    scopus 로고
    • Maximum likelihood estimation of generalised linear models for multivariate normal covariance matrix
    • Pourahmadi, M. (2000). Maximum likelihood estimation of generalised linear models for multivariate normal covariance matrix. Biometrika 87, 425-435.
    • (2000) Biometrika , vol.87 , pp. 425-435
    • Pourahmadi, M.1
  • 20
    • 0036192069 scopus 로고    scopus 로고
    • Dynamic conditionally linear mixed models for longitudinal data
    • Pourahmadi, M. and Daniels, M. (2002). Dynamic conditionally linear mixed models for longitudinal data. Biometrics 58, 225-231.
    • (2002) Biometrics , vol.58 , pp. 225-231
    • Pourahmadi, M.1    Daniels, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.