-
1
-
-
0032958330
-
A general maximum likelihood analysis of variance components in generalized linear models
-
AITKIN, M. (1999). A general maximum likelihood analysis of variance components in generalized linear models. Biometrics 55, 117-128.
-
(1999)
Biometrics
, vol.55
, pp. 117-128
-
-
Aitkin, M.1
-
2
-
-
0000708831
-
Mixture of Dirichlet process with applications to Bayesian nonparametric problems
-
ANTONIAK, C. (1974). Mixture of Dirichlet process with applications to Bayesian nonparametric problems. Ann. Statist. 2, 1152-1174.
-
(1974)
Ann. Statist.
, vol.2
, pp. 1152-1174
-
-
Antoniak, C.1
-
3
-
-
0002617436
-
Ferguson distributions via Polya urn schemes
-
BLACKWELL, D. & MACQUEEN, J.B. (1973). Ferguson distributions via Polya urn schemes. Ann, Statist. 1, 353-355.
-
(1973)
Ann, Statist.
, vol.1
, pp. 353-355
-
-
Blackwell, D.1
Macqueen, J.B.2
-
4
-
-
0011241944
-
Approximate inference in generalized linear mixed models
-
BRESLOW, N.E. & CLAYTON, D.G. (1993). Approximate inference in generalized linear mixed models. J. Amer. Statist. Assoc. 88, 9-25.
-
(1993)
J. Amer. Statist. Assoc.
, vol.88
, pp. 9-25
-
-
Breslow, N.E.1
Clayton, D.G.2
-
5
-
-
0003020981
-
Bias correction in generalized linear mixed models with a single component of dispersion
-
BRESLOW, N.E. & LIN, X. (1995). Bias correction in generalized linear mixed models with a single component of dispersion. Biometrika 82, 81-91.
-
(1995)
Biometrika
, vol.82
, pp. 81-91
-
-
Breslow, N.E.1
Lin, X.2
-
6
-
-
0000904732
-
A semiparametric Bayesian model for randomized block designs
-
BUSH, C.A. & MACEACHERN, S.N. (1996). A semiparametric Bayesian model for randomized block designs. Biometrika 83, 275-285.
-
(1996)
Biometrika
, vol.83
, pp. 275-285
-
-
Bush, C.A.1
Maceachern, S.N.2
-
7
-
-
0000982477
-
Properties of prior and posterior distributions for multivariate categorical response data models
-
CHEN, M.H. & SHAO, Q.M. (1999). Properties of prior and posterior distributions for multivariate categorical response data models. J. Multivariate Anal. 71, 277-296.
-
(1999)
J. Multivariate Anal.
, vol.71
, pp. 277-296
-
-
Chen, M.H.1
Shao, Q.M.2
-
9
-
-
21844501539
-
Bayesian non-parametric estimation for incomplete data via successive substitution sampling
-
Doss, H. (1994). Bayesian non-parametric estimation for incomplete data via successive substitution sampling. Ann. Statist. 22, 1763-1786.
-
(1994)
Ann. Statist.
, vol.22
, pp. 1763-1786
-
-
Doss, H.1
-
10
-
-
21344479762
-
Estimating normal means with a Dirichlet process prior
-
ESCOBAR, M.D. (1994). Estimating normal means with a Dirichlet process prior. J. Amer. Statist. Assoc. 89, 268-227.
-
(1994)
J. Amer. Statist. Assoc.
, vol.89
, pp. 268-1227
-
-
Escobar, M.D.1
-
11
-
-
84950937290
-
Bayesian density estimation and inference using mixtures
-
ESCOBAR, M.D. & WEST, M. (1995). Bayesian density estimation and inference using mixtures. J. Amer Statist. Assoc. 90, 577-588.
-
(1995)
J. Amer Statist. Assoc.
, vol.90
, pp. 577-588
-
-
Escobar, M.D.1
West, M.2
-
12
-
-
0001120413
-
A Bayesian analysis of some non-parametric problems
-
FERGUSON, T.S. (1973). A Bayesian analysis of some non-parametric problems. Ann. Statist. 1, 209-230.
-
(1973)
Ann. Statist.
, vol.1
, pp. 209-230
-
-
Ferguson, T.S.1
-
13
-
-
0033851687
-
Standard errors for EM estimates in generalized linear models with random effects
-
FRIEDL, H. & KAUERMANN, G. (2000). Standard errors for EM estimates in generalized linear models with random effects. Biometrics 56, 761-767.
-
(2000)
Biometrics
, vol.56
, pp. 761-767
-
-
Friedl, H.1
Kauermann, G.2
-
14
-
-
0442309445
-
Identifiability, improper priors and Gibbs sampling for generalized linear models
-
GELFAND, A.E. & SAHOO, S. (1999). Identifiability, improper priors and Gibbs sampling for generalized linear models. J. Amer. Statist. Assoc. 94, 247-253.
-
(1999)
J. Amer. Statist. Assoc.
, vol.94
, pp. 247-253
-
-
Gelfand, A.E.1
Sahoo, S.2
-
15
-
-
84950453304
-
Sampling based approaches to calculating marginal densities
-
GELFAND, A.E. & SMITH, A.F.M. (1990). Sampling based approaches to calculating marginal densities. J. Amer. Statist. Assoc. 85, 398-409.
-
(1990)
J. Amer. Statist. Assoc.
, vol.85
, pp. 398-409
-
-
Gelfand, A.E.1
Smith, A.F.M.2
-
16
-
-
84972492387
-
Inference from iterative simulation using multiple sequences
-
GELMAN, A. & RUBIN, D.B. (1992). Inference from iterative simulation using multiple sequences. Statist. Sci. 7, 457-472.
-
(1992)
Statist. Sci.
, vol.7
, pp. 457-472
-
-
Gelman, A.1
Rubin, D.B.2
-
17
-
-
0000324169
-
Adaptive rejection sampling for Gibbs sampling
-
GILKS, W.R. & WILD, P. (1992). Adaptive rejection sampling for Gibbs sampling. Appl. Statist. 41, 337-348.
-
(1992)
Appl. Statist.
, vol.41
, pp. 337-348
-
-
Gilks, W.R.1
Wild, P.2
-
18
-
-
0000159540
-
A method for minimizing the impact of distributional assumptions in econometric models of duration
-
HECKMAN, J.J. & SINGER, B. (1984). A method for minimizing the impact of distributional assumptions in econometric models of duration. Econometrics 52, 271-320.
-
(1984)
Econometrics
, vol.52
, pp. 271-320
-
-
Heckman, J.J.1
Singer, B.2
-
19
-
-
0028650772
-
A random effects ordinal regression model for multilevel analysis
-
HEDEKER, D. & GIBBSON, R.D. (1994). A random effects ordinal regression model for multilevel analysis. Biometrics 50, 933-953.
-
(1994)
Biometrics
, vol.50
, pp. 933-953
-
-
Hedeker, D.1
Gibbson, R.D.2
-
20
-
-
0041512865
-
Binomial variance component models with a non-parametric assumption concerning random effects in longitudinal data analysis
-
ed. R. Crouchley. Avebury: Aldershot, UK
-
HINDE, J.P. & WOOD, A.T.A. (1987). Binomial variance component models with a non-parametric assumption concerning random effects in longitudinal data analysis. In Longitudinal Data Analysis, ed. R. Crouchley, pp. 110-128. Avebury: Aldershot, UK.
-
(1987)
Longitudinal Data Analysis
, pp. 110-128
-
-
Hinde, J.P.1
Wood, A.T.A.2
-
21
-
-
1842816362
-
Gibbs sampling methods for stick breaking priors
-
ISHWARAN, H. & JAMES, L.F. (2001). Gibbs sampling methods for stick breaking priors. J. Amer. Statist. Assoc. 96, 161-173.
-
(2001)
J. Amer. Statist. Assoc.
, vol.96
, pp. 161-173
-
-
Ishwaran, H.1
James, L.F.2
-
22
-
-
0001677650
-
Markov chain Monte Carlo in approximate Dirichlet and beta two parameter process hierarchical models
-
ISHWARAN, H. & ZAREPOUR, M. (2000). Markov chain Monte Carlo in approximate Dirichlet and beta two parameter process hierarchical models. Biometrika 87, 371-390.
-
(2000)
Biometrika
, vol.87
, pp. 371-390
-
-
Ishwaran, H.1
Zarepour, M.2
-
23
-
-
0000660534
-
Asymptotic unbiased estimation in generalized linear models with random effects
-
KUK, A.Y.C. (1995). Asymptotic unbiased estimation in generalized linear models with random effects. J. Roy. Statist. Soc. Ser. B 57, 395-407.
-
(1995)
J. Roy. Statist. Soc. Ser. B
, vol.57
, pp. 395-407
-
-
Kuk, A.Y.C.1
-
24
-
-
0020333131
-
Random effect models for longitudinal data
-
LAIRD, N.M. & WARE, J.H. (1982). Random effect models for longitudinal data. Biometrics 38, 963-974.
-
(1982)
Biometrics
, vol.38
, pp. 963-974
-
-
Laird, N.M.1
Ware, J.H.2
-
25
-
-
85199986075
-
Hierarchical generalized linear models (with discussion)
-
LEE, X. & NELDER, J.A. (1996). Hierarchical generalized linear models (with discussion). J. Roy. Statist. Soc. Ser. B 58, 619-678.
-
(1996)
J. Roy. Statist. Soc. Ser. B
, vol.58
, pp. 619-678
-
-
Lee, X.1
Nelder, J.A.2
-
26
-
-
0030487956
-
A non-parametric hierarchical Bayes via sequential imputations
-
LIN, J. (1996). A non-parametric hierarchical Bayes via sequential imputations. Ann. Statist. 24, 911-930.
-
(1996)
Ann. Statist.
, vol.24
, pp. 911-930
-
-
Lin, J.1
-
27
-
-
0030336576
-
Bias correction in generalized linear mixed models with multiple components of dispersion
-
LIN, X. & BRESLOW, N.B. (1996). Bias correction in generalized linear mixed models with multiple components of dispersion. J. Amer. Statist. Assoc. 91, 1007-1016.
-
(1996)
J. Amer. Statist. Assoc.
, vol.91
, pp. 1007-1016
-
-
Lin, X.1
Breslow, N.B.2
-
28
-
-
84972808999
-
Estimating normal means with a conjugate style Dirichlet process prior
-
MACEACHERN, S.N. (1994). Estimating normal means with a conjugate style Dirichlet process prior. Comm. Statist. Simulation Comput. 23, 727-741.
-
(1994)
Comm. Statist. Simulation Comput.
, vol.23
, pp. 727-741
-
-
Maceachern, S.N.1
-
29
-
-
0032221058
-
Estimating mixtures of Dirichlet process models
-
MACEACHERN, S.N. & MULLER, P. (1998). Estimating mixtures of Dirichlet process models. J. Comput. Graph. Statist. 7, 223-238.
-
(1998)
J. Comput. Graph. Statist.
, vol.7
, pp. 223-238
-
-
Maceachern, S.N.1
Muller, P.2
-
30
-
-
0030336223
-
Fitting full information item factor models and an empirical investigation of bridge sampling
-
MENG, X.L. & SCHILLING, S. (1996). Fitting full information item factor models and an empirical investigation of bridge sampling. J. Amer. Statist. Assoc. 91, 1254-1267.
-
(1996)
J. Amer. Statist. Assoc.
, vol.91
, pp. 1254-1267
-
-
Meng, X.L.1
Schilling, S.2
-
31
-
-
0031496078
-
Dirichlet process mixed generalized linear models
-
MUKHOPADHYAY, S. & GELFAND, A.E. (1997). Dirichlet process mixed generalized linear models. J. Amer. Statist. Assoc. 92, 633-639.
-
(1997)
J. Amer. Statist. Assoc.
, vol.92
, pp. 633-639
-
-
Mukhopadhyay, S.1
Gelfand, A.E.2
-
32
-
-
0002881872
-
Bayesian curve fitting using multivariate normal mixtures
-
MULLER, P., ERKAULI, A. & WEST, M. (1996). Bayesian curve fitting using multivariate normal mixtures. Biometrika 83, 67-69.
-
(1996)
Biometrika
, vol.83
, pp. 67-69
-
-
Muller, P.1
Erkauli, A.2
West, M.3
-
33
-
-
0442278073
-
Reference Bayesian methods for generalized linear mixed models
-
NATARAJAN, R. & KASS, R.E. (2000). Reference Bayesian methods for generalized linear mixed models. J. Amer. Statist. Assoc. 95, 227-237.
-
(2000)
J. Amer. Statist. Assoc.
, vol.95
, pp. 227-237
-
-
Natarajan, R.1
Kass, R.E.2
-
34
-
-
77950032550
-
Markov chain sampling methods for Dirichlet process mixture models
-
NEAL, R.M. (2000). Markov chain sampling methods for Dirichlet process mixture models. J. Comput. Graph. Statist. 9, 249-265.
-
(2000)
J. Comput. Graph. Statist.
, vol.9
, pp. 249-265
-
-
Neal, R.M.1
-
35
-
-
0000162978
-
The effect of mixture distribution misspecification when fitting mixed effects logistic models
-
NEUHAUS, J.M. & HAUCK, W.W. (1992). The effect of mixture distribution misspecification when fitting mixed effects logistic models. Biometrika 79, 755-762.
-
(1992)
Biometrika
, vol.79
, pp. 755-762
-
-
Neuhaus, J.M.1
Hauck, W.W.2
-
37
-
-
84950432017
-
A Monte Carlo implementation of EM algorithm and the poor man's data augmentation algorithm
-
WEI, G.C.G. & TANNER, M.A. (1990). A Monte Carlo implementation of EM algorithm and the poor man's data augmentation algorithm. J. Amer. Statist. Assoc. 85, 699-704.
-
(1990)
J. Amer. Statist. Assoc.
, vol.85
, pp. 699-704
-
-
Wei, G.C.G.1
Tanner, M.A.2
-
38
-
-
0002612391
-
Hierarchical priors and mixture models, with application in regression and density estimation
-
eds R.R. Freeman & A.F.M. Smith. New York: John Wiley
-
WEST, M., MULLER, P. & ESCOBAR, M.D. (1994). Hierarchical priors and mixture models, with application in regression and density estimation. In Aspect of Uncertainty: A Tribute to D. V. Lindley, eds R.R. Freeman & A.F.M. Smith, pp. 363-386. New York: John Wiley.
-
(1994)
Aspect of Uncertainty: A Tribute to D. V. Lindley
, pp. 363-386
-
-
West, M.1
Muller, P.2
Escobar, M.D.3
-
39
-
-
84910906566
-
Generalized linear models with random effects: A Gibbs sampling approach
-
ZEGEK, S.L. & KARIM, M.R. (1991). Generalized linear models with random effects: a Gibbs sampling approach. J. Amer. Statist. Assoc. 86, 79-86.
-
(1991)
J. Amer. Statist. Assoc.
, vol.86
, pp. 79-86
-
-
Zegek, S.L.1
Karim, M.R.2
|