-
1
-
-
0034557673
-
Bayesian factor analysis for multilevel binary observations
-
Ansari, A., & Jedidi, K. (2000). Bayesian factor analysis for multilevel binary observations. Psychometrika, 65, 475-498.
-
(2000)
Psychometrika
, vol.65
, pp. 475-498
-
-
Ansari, A.1
Jedidi, K.2
-
2
-
-
0032329779
-
A Bayesian approach to nonlinear latent variable models using the Gibbs sampler and the Metropolis-Hastings algorithm
-
Arminger, G., & Muthén, B. O. (1998). A Bayesian approach to nonlinear latent variable models using the Gibbs sampler and the Metropolis-Hastings algorithm. Psychometrika, 63, 271-300.
-
(1998)
Psychometrika
, vol.63
, pp. 271-300
-
-
Arminger, G.1
Muthén, B.O.2
-
3
-
-
0000857692
-
State versus action orientation and the theory of reasoned action: An application to coupon usage
-
Bagozzi, R. P., Baumgartner, H., & Yi, Y. (1992). State versus action orientation and the theory of reasoned action: An application to coupon usage. Journal of Consumer Research, 18, 505-517.
-
(1992)
Journal of Consumer Research
, vol.18
, pp. 505-517
-
-
Bagozzi, R.P.1
Baumgartner, H.2
Yi, Y.3
-
5
-
-
0010975415
-
Marginal maximum likelihood estimation of item parameters: Application of an em algorithm
-
Bock, R. D., & Aitkin M. (1981). Marginal maximum likelihood estimation of item parameters: Application of an EM algorithm. Psychometrika, 37, 29-51.
-
(1981)
Psychometrika
, vol.37
, pp. 29-51
-
-
Bock, R.D.1
Aitkin, M.2
-
6
-
-
0030451789
-
High dimensional multivariate probit analysis
-
Bock, R. D., & Gibbons, R. D. (1996). High dimensional multivariate probit analysis. Biometrics, 52, 1183-1194.
-
(1996)
Biometrics
, vol.52
, pp. 1183-1194
-
-
Bock, R.D.1
Gibbons, R.D.2
-
8
-
-
0033475053
-
Maximum generalized linear model likelihoods with an automated Monte Carlo em algorithm
-
Booth, J. G., & Hobert, J. P. (1999). Maximum generalized linear model likelihoods with an automated Monte Carlo EM algorithm. Journal of the Royal Statistical Society, Series B, 61, 265-285.
-
(1999)
Journal of the Royal Statistical Society, Series B
, vol.61
, pp. 265-285
-
-
Booth, J.G.1
Hobert, J.P.2
-
9
-
-
0001648095
-
Robustness of statistical inference in factor analysis and related models
-
Browne, M. W. (1987). Robustness of statistical inference in factor analysis and related models. Biometrika, 74, 375-384.
-
(1987)
Biometrika
, vol.74
, pp. 375-384
-
-
Browne, M.W.1
-
10
-
-
0000911137
-
Analysis of multivariate probit models
-
Chib, S., & Greenberg, E. (1998). Analysis of multivariate probit models. Biometrika, 85, 347-361.
-
(1998)
Biometrika
, vol.85
, pp. 347-361
-
-
Chib, S.1
Greenberg, E.2
-
11
-
-
0002629270
-
Maximum likelihood from incomplete data via the em algorithm
-
Dempster, A. P., Laird, N. M., & Rubin, D. B. (1977). Maximum likelihood from incomplete data via the EM algorithm (with discussion). Journal of the Royal Statistical Society, Series B, 39, 1-38.
-
(1977)
Journal of the Royal Statistical Society, Series B
, vol.39
, pp. 1-38
-
-
Dempster, A.P.1
Laird, N.M.2
Rubin, D.B.3
-
13
-
-
0001582213
-
Inference and monitoring convergence
-
W. R. Gilks, S. Richardson, & D. J. Spiegelhalter (Eds.). London: Chapman and Hall
-
Gelman, A. (1996). Inference and monitoring convergence. In W. R. Gilks, S. Richardson, & D. J. Spiegelhalter (Eds.), Markov Chain Monte Carlo in practice (pp. 131-144). London: Chapman and Hall.
-
(1996)
Markov Chain Monte Carlo in Practice
, pp. 131-144
-
-
Gelman, A.1
-
14
-
-
0000736067
-
Simulating normalizing constant: From importance sampling to bridge sampling to path sampling
-
Gelman, A., & Meng, X. L. (1998). Simulating normalizing constant: From importance sampling to bridge sampling to path sampling. Statistical Science, 13, 163-185.
-
(1998)
Statistical Science
, vol.13
, pp. 163-185
-
-
Gelman, A.1
Meng, X.L.2
-
15
-
-
0000954353
-
Efficient metropolis jumping rules
-
J. M. Bernardo, J. O. Berger, A. P. Dawid, & A. F. M. Smith (Eds.). Oxford, UK: Oxford University Press
-
Gelman, A., Roberts, G. O., & Gilks, W. R. (1996). Efficient metropolis jumping rules. In J. M. Bernardo, J. O. Berger, A. P. Dawid, & A. F. M. Smith (Eds.), Bayesian statistics 5 (pp. 599-607). Oxford, UK: Oxford University Press.
-
(1996)
Bayesian Statistics
, vol.5
, pp. 599-607
-
-
Gelman, A.1
Roberts, G.O.2
Gilks, W.R.3
-
16
-
-
0021518209
-
Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of Images
-
Geman, S., & Geman, D. (1984). Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of Images. IEEE Transactions on Pattern Analysis and Machine Intelligence, 6, 721-741.
-
(1984)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.6
, pp. 721-741
-
-
Geman, S.1
Geman, D.2
-
17
-
-
84972511893
-
Practical Markov Chain Monte Carlo
-
Geyer, C. J. (1992). Practical Markov Chain Monte Carlo (with discussion). Statistical Science, 7, 473-511.
-
(1992)
Statistical Science
, vol.7
, pp. 473-511
-
-
Geyer, C.J.1
-
18
-
-
0032337233
-
Health service utilization and insurance coverage: A multivariate probit model
-
Gibbons, R. D., & Wilcox-Gök, V. (1998). Health service utilization and insurance coverage: A multivariate probit model. Journal of American Statistical Association, 93, 63-72.
-
(1998)
Journal of American Statistical Association
, vol.93
, pp. 63-72
-
-
Gibbons, R.D.1
Wilcox-Gök, V.2
-
19
-
-
0001178202
-
A language and program for complex Bayesian modeling
-
Gilks, W. R., Thomas, A., & Spiegelhalter, D. J. (1994). A language and program for complex Bayesian modeling. Statisticians, 43, 169-177.
-
(1994)
Statisticians
, vol.43
, pp. 169-177
-
-
Gilks, W.R.1
Thomas, A.2
Spiegelhalter, D.J.3
-
20
-
-
77956890234
-
Monte Carlo sampling methods using Markov Chains and their application
-
Hastings, W. K. (1970). Monte Carlo sampling methods using Markov Chains and their application. Biometrika, 57, 97-109.
-
(1970)
Biometrika
, vol.57
, pp. 97-109
-
-
Hastings, W.K.1
-
21
-
-
11944261983
-
Measurement error in the analysis of interaction effects between continuous predictors using multiple regression: Multiple indicator and structural equation approaches
-
Jaccard, J., & Wan, C. K. (1995). Measurement error in the analysis of interaction effects between continuous predictors using multiple regression: Multiple indicator and structural equation approaches. Psychological Bulletin, 117, 348-357.
-
(1995)
Psychological Bulletin
, vol.117
, pp. 348-357
-
-
Jaccard, J.1
Wan, C.K.2
-
23
-
-
0002382866
-
Nonlinear structural equation models: The Kenny-Judd Model with interaction effects
-
G. A. Marcoulides & R. E. Schumacker (Eds.). Mahwah, NJ: Lawrence Erlbaum Associates, Inc.
-
Jöreskog, K. G., & Yang, F. (1996). Nonlinear structural equation models: The Kenny-Judd Model with interaction effects. In G. A. Marcoulides & R. E. Schumacker (Eds.), Advanced structural equation modeling techniques (pp. 57-88). Mahwah, NJ: Lawrence Erlbaum Associates, Inc.
-
(1996)
Advanced Structural Equation Modeling Techniques
, pp. 57-88
-
-
Jöreskog, K.G.1
Yang, F.2
-
25
-
-
0000456985
-
Estimating the nonlinear and interactive effects of latent variables
-
Kenny, D. A., & Judd, C. M. (1984). Estimating the nonlinear and interactive effects of latent variables. Psychological Bulletin, 96, 201-210.
-
(1984)
Psychological Bulletin
, vol.96
, pp. 201-210
-
-
Kenny, D.A.1
Judd, C.M.2
-
26
-
-
0034867298
-
Maximum likelihood estimation of two-level latent variable models with mixed continuous and polytomous data
-
Lee, S. Y., & Shi, J. Q. (2001). Maximum likelihood estimation of two-level latent variable models with mixed continuous and polytomous data. Biometrics, 57, 787-794.
-
(2001)
Biometrics
, vol.57
, pp. 787-794
-
-
Lee, S.Y.1
Shi, J.Q.2
-
27
-
-
0035528598
-
Hypothesis testing and model comparison in two-level structural equation models
-
Lee, S. Y., & Song, X. Y. (2001). Hypothesis testing and model comparison in two-level structural equation models. Multivariate Behavioral Research, 36, 639-655.
-
(2001)
Multivariate Behavioral Research
, vol.36
, pp. 639-655
-
-
Lee, S.Y.1
Song, X.Y.2
-
28
-
-
0038457409
-
Bayesian model selection for mixtures of structural equation models with an unknown number of components
-
Lee, S. Y., & Song, X. Y. (2003a). Bayesian model selection for mixtures of structural equation models with an unknown number of components. British Journal of Mathematical and Statistical Psychology, 56, 145-165.
-
(2003)
British Journal of Mathematical and Statistical Psychology
, vol.56
, pp. 145-165
-
-
Lee, S.Y.1
Song, X.Y.2
-
29
-
-
0038810230
-
Model comparison of nonlinear structural equation models with fixed covariates
-
Lee, S. Y., & Song, X. Y. (2003b). Model comparison of nonlinear structural equation models with fixed covariates. Psychometrika, 68, 27-47.
-
(2003)
Psychometrika
, vol.68
, pp. 27-47
-
-
Lee, S.Y.1
Song, X.Y.2
-
30
-
-
3042735142
-
Comparison of approaches in estimating interaction and quadratic effects of latent variables
-
Lee, S. Y., Song, X. Y., & Poon, W. Y. (2004). Comparison of approaches in estimating interaction and quadratic effects of latent variables. Multivariate Behavioral Research, 39, 37-67.
-
(2004)
Multivariate Behavioral Research
, vol.39
, pp. 37-67
-
-
Lee, S.Y.1
Song, X.Y.2
Poon, W.Y.3
-
31
-
-
0035998148
-
Maximum likelihood estimation of nonlinear structural equation models
-
Lee, S. Y., & Zhu, H. T. (2002). Maximum likelihood estimation of nonlinear structural equation models. Psychometrika, 67, 189-210.
-
(2002)
Psychometrika
, vol.67
, pp. 189-210
-
-
Lee, S.Y.1
Zhu, H.T.2
-
32
-
-
0001044972
-
Finding the observed information matrix when using em algorithm
-
Louis, T. A. (1982). Finding the observed information matrix when using EM algorithm. Journal of the Royal Statistical Society, Series B, 44, 226-233.
-
(1982)
Journal of the Royal Statistical Society, Series B
, vol.44
, pp. 226-233
-
-
Louis, T.A.1
-
33
-
-
0000251971
-
Maximum likelihood estimation via the ECM algorithm: A general framework
-
Meng, X. L., & Rubin, D. B. (1993). Maximum likelihood estimation via the ECM algorithm: A general framework. Biometrika, 80, 267-278.
-
(1993)
Biometrika
, vol.80
, pp. 267-278
-
-
Meng, X.L.1
Rubin, D.B.2
-
34
-
-
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. Journal of the American Statistical Association, 91, 1254-1267.
-
(1996)
Journal of the American Statistical Association
, vol.91
, pp. 1254-1267
-
-
Meng, X.L.1
Schilling, S.2
-
35
-
-
5744249209
-
Equations of state calculations by fast computing machine
-
Metropolis, N., Rosenbluth, A. W., Rosenbluth, M. N., Teller, A. H., & Teller, E. (1953). Equations of state calculations by fast computing machine. Journal of Chemical Physics, 21, 1087-1091.
-
(1953)
Journal of Chemical Physics
, vol.21
, pp. 1087-1091
-
-
Metropolis, N.1
Rosenbluth, A.W.2
Rosenbluth, M.N.3
Teller, A.H.4
Teller, E.5
-
36
-
-
0037514670
-
Comparison of methods for estimating and testing latent variable interactions
-
Moulder, B. C., & Algina, J. (2002). Comparison of methods for estimating and testing latent variable interactions. Structural Equation Modeling, 9, 1-19.
-
(2002)
Structural Equation Modeling
, vol.9
, pp. 1-19
-
-
Moulder, B.C.1
Algina, J.2
-
37
-
-
0002884680
-
Bayesian model selection in structural equation models
-
K. A. Bollen & J. S. Long (Eds.). London: New Delhi
-
Raftery, A. E. (1993). Bayesian model selection in structural equation models. In K. A. Bollen & J. S. Long (Eds.), Testing structural equation models (pp. 163-180). London: New Delhi.
-
(1993)
Testing Structural Equation Models
, pp. 163-180
-
-
Raftery, A.E.1
-
38
-
-
0000599677
-
Mixtures of distributions: Inference and estimation
-
W. R. Gilks, S. Richardson, & D. J. Spiegelhalter (Eds.). London: Chapman and Hall
-
Robert, C. P. (1996). Mixtures of distributions: Inference and estimation. In W. R. Gilks, S. Richardson, & D. J. Spiegelhalter (Eds.), Markov Chain Monte Carlo in practice (pp. 163-188). London: Chapman and Hall.
-
(1996)
Markov Chain Monte Carlo in Practice
, pp. 163-188
-
-
Robert, C.P.1
-
39
-
-
0001098534
-
EM and beyond
-
Rubin, D. B. (1991). EM and beyond. Psychometrika, 56, 241-254.
-
(1991)
Psychometrika
, vol.56
, pp. 241-254
-
-
Rubin, D.B.1
-
40
-
-
0037514660
-
Latent variable interaction modeling
-
Schumacker, R. E. (2002). Latent variable interaction modeling. Structural Equation Modeling, 9, 40-54.
-
(2002)
Structural Equation Modeling
, vol.9
, pp. 40-54
-
-
Schumacker, R.E.1
-
42
-
-
84950758368
-
The calculation of posterior distributions by data augmentation
-
Tanner, M. A., & Wong, W. H. (1987). The calculation of posterior distributions by data augmentation (with discussion). Journal of the American Statistical Association, 82, 528-550.
-
(1987)
Journal of the American Statistical Association
, vol.82
, pp. 528-550
-
-
Tanner, M.A.1
Wong, W.H.2
-
43
-
-
84950432017
-
A Monte Carlo implementation of the em algorithm and the poor man's data augmentation algorithm
-
Wei, G. C. G., & Tanner, M. A. (1990). A Monte Carlo implementation of the EM algorithm and the poor man's data augmentation algorithm. Journal of the American Statistical Association, 85, 699-704.
-
(1990)
Journal of the American Statistical Association
, vol.85
, pp. 699-704
-
-
Wei, G.C.G.1
Tanner, M.A.2
-
44
-
-
0003830430
-
-
Ann Arbor, MI: Inter-university Consortium for Political and Social Research
-
World Values Study Group. (1994). WORLD VALUES SURVEY, 1981-1984 AND 1990-1993. ICPSR version. Ann Arbor, MI: Inter-university Consortium for Political and Social Research.
-
(1994)
World Values Survey, 1981-1984 and 1990-1993. ICPSR Version
-
-
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