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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, Heidelberg, 533-553.