Bayesian Analysis of Nonlinear Structural Equation Models with Nonignorable Missing Data

Author:

Lee Sik-Yum

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,General Psychology

Reference41 articles.

1. Ansari, A., Jedidi, K., & Dube, L. (2002). Heterogenous factor analysis models: A Bayesian approach. Psychometrika, 67, 49–78.

2. Bayarri, M.J., & Berger, J.O. (2000). P values for composite null models. Journal of the American Statistical Association, 95, 1127–1142.

3. 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.

4. DiCiccio, T.J., Kass, R.E., Raftery, A., & Wasserman, L. (1997). Computing Bayes factors by combining simulation and asymptotic approximations. Journal of the American Statistical Association, 92, 903–915.

5. Diggle, P., & Kenward, M.G. (1994). Informative drop-out in longitudinal data analysis (with discussion). Applied Statistics, 43, 49–93.

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