Böhning, D. & Seidel, W. (2003). Editorial: Recent developments in mixture models.
Computational Statistics and Data
Analysis 41, 349-357.
Nityasuddhi, D. & Böhning, D. (2003). Asymptotic properties of the EM algorithm estimate for
normal mixture models with component specific variances. Computational Statistics and Data Analysis 41, 591-601.
Biggeri,
A., Dreassi, E., Lagazio,
C., & Böhning, D. (2003). A transitional non-parametric maximum pseudo-likelihood
estimator for disease mapping. Computational
Statistics and Data Analysis 41,
617-629.
Böhning, D. (2003). The EM Algorithm with Gradient Function Update for
Discrete Mixtures with Known (Fixed) Number of Components Statistics and Computing 13, 257-265.
Böhning, D. (2003). Empirical Bayes estimators and
non-parametric mixture models for space and time–space disease mapping and
surveillance. Environmetrics 14, 431-451.
Böhning, D., Malzahn, U., Schlattmann, P., Dammann, U.-P., Mehnert, W., Holling, H., Schulze, R. (2003). The application of
statistical methods of meta-analysis for heterogeneity modelling in medicine and
pharmacy, psychology, quality control and assurance. In: Mathematics: Key Technology for the Future.
Ed. by W. Jäger and H.-J. Krebs, Springer,