Hana Ševčíková

Research:	In the area of urban planning -- UrbanSim, project led by Paul Waddell and Alan Borning.
	Probabilisitc population projection, jointly with Sam Clark and Adrian Raftery.
	(Finished) Project on fractal analysis of random fields (NSF 0134264 ), jointly with Tilmann Gneiting and Don Percival.
	(Finished) Jointly with Tony Rossini, project on statistical parallel computing.
R pkgs:	snowFT, rlecuyer (download from CRAN and read this for more info on the packages).

Past

Publications

• Borning, A., Sevcikova, H., Waddell, P.: A Domain-Specific Language for Urban Simulation Variables, Proceedings of the 9th Annual International Conference on Digital Government Research, Montreal, Canada (2008).
• Hana Sevcikova, Adrian Raftery, Paul Waddell. Assessing Uncertainty in Urban Simulations Using Bayesian Melding. Transportation Research B, 41 (2007), 652-669.
• Gneiting, T., Sevcikova, H., Percival, D. B., Schlather, M. and Jiang, Y. Fast and exact simulation of large Gaussian lattice systems in R²: Exploring the limits. Journal of Computational and Graphical Statistics, 15 (2006), 483-501.
• Sevcikova, H., Borning, A., Socha, D., Bleek, W.-G.: Automated Testing of Stochastic Systems: A Statistically Grounded Approach. Proceedings of the 2006 International Symposium on Software Testing and Analysis}, Portland, Maine, USA, 215-224 (2006).
• Paul Waddell, Hana Sevcikova, David Socha, Eric Miller, Kai Nagel, Opus: An Open Platform for Urban Simulation.  Presented at the Computers in Urban Planning and Urban Management Conference, June, 2005, London, U.K.
• H. Sevcikova: Statistical Simulations on Parallel Computers. Journal of Computational and Graphical Statistics, 13 (2004), 886-906. (pdf).
• W. Seidel, K. Sever, H. Sevcikova: Efficient Calculation of the NPMLE of a Mixing Distribution for Mixtures of Exponentials. Computational Statistics and Data Analysis. 50 (2005), 1248-1271.
• W. Seidel, H. Sevcikova: Types of Likelihood Maxima in Mixture Models and their implication on the Performance of Tests. Annals of the Institute of Statistical Mathematics. 56 (2004), 631-654.
• W.Seidel, H.Sevcikova: An Analysis of Tests Aganst Nonparametric Alternatives in Exponential Mixture Models. Discussion Papers in Statistics und Quantitative Economics 109 (2003), Universität der Bundeswehr Hamburg. (ps) (pdf)
• W. Seidel, H. Sevcikova: A Detailed Investigation of Likelihood Maxima in Two-Component Exponential Mixture Models and their Implication on LR Tests. Discussion Papers in Statistics und Quantitative Economics 106 (2003), Universität der Bundeswehr Hamburg. (ps) (pdf)
• W. Seidel, H. Sevcikova, Sattar Muneera Yaseen Ali: On Resampling Approaches for Identifying Statistically Meaningful Maxima of Likelihood Functions. Discussion Papers in Statistics und Quantitative Economics 105 (2003), Universität der Bundeswehr Hamburg. (ps) (pdf)
• W. Seidel, H. Sevcikova: Tools for Analyzing and Maximizing Likelihood Functions in Mixture Models. Discussion Papers in Statistics und Quantitative Economics 104 (2002), Universität der Bundeswehr Hamburg. (ps) (pdf)
• W. Seidel, H. Sevcikova: On EM Versions with Gradient Function Update for Finite Mixtures. Discussion Papers in Statistics und Quantitative Economics 103 (2002), Universität der Bundeswehr Hamburg .
• W. Seidel, H. Sevcikova, M. Alker: On the Power of Different Versions of the Likelihood Ratio Test for Homogeneity in an Exponential Mixture Model. Discussion Papers in Statistics and Quantitative Economics 92 (2000), Universität der Bundeswehr Hamburg. (ps) (pdf)
• W. Krumbholz, R. Lassahn, H. Sevcikova: Double sampling plans for attributes that minimize the ASN maximum. Allgemeines Statistisches Archiv 83 (1999), 211-223.
• W. Krumbholz, R. Lassahn, H. Sevcikova: Zweifache attributive ASN-Flächen-Prüfpläne. Mathematische Methoden der Wirtschaftswissenschaften (1999) (Eds. Gaul, W., Schader, M.). Heidelberg: Physica.
• W. Krumbholz, R. Lassahn, H. Sevcikova: Zweifache ASN-Attributprüfpläne mit Abbruch. Discussion Papers in Statistics and Quantitative Economics 88 (1999), Universität der Bundeswehr Hamburg.
• H. de Meer, H. Sevcikova: PENELOPE: dependability evaluation and the optimization of performability. In R. Marie, R. Plateau, and G. Rubino, editors, Proc. 9th Int. Conf. on Modeling Techniques and Tools for Computer Performance Evaluation, Lecture Notes in Computer Science 1245 (1997), pages 19-31. Berlin: Springer-Verlag.