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David Kraus
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Postdoctoral Researcher
nationality: Czech
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office(s):
MAB1513
phone(s): [+41 21 69] 30382
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Education
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Ph.D., Statistics, Charles University in Prague, 2008
Mgr. (MSc. equivalent), Statistics, Charles University in Prague, 2003
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Curriculum vitae
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Detailed CV
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Research interests
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Statistical modelling and inference for stochastic processes in general
Functional data analysis, multivariate data analysis
Survival analysis, event history analysis, point processes
Nonparametric inference, goodness-of-fit techniques, quantile methods, robust statistics, ROC analysis
Applications to natural science (molecular biology, geophysics,...)
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Main publications
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Panaretos, V. M., Kraus, D. and Maddocks, J. H. (2010). Second-Order Comparison of Gaussian Random Functions and the Geometry of DNA Minicircles. J. Amer. Statist. Assoc., 105, 670–682.
Kraus, D. (2009). Adaptive Neyman's smooth tests of homogeneity of two samples of survival data. J. Statist. Plann. Inference, 139, 3559–3569.
Kraus, D. (2009). Checking proportional rates in the two-sample transformation model. Kybernetika, 45, 261–278.
Kraus, D. (2008). Identifying nonproportional covariates in the Cox model. Comm. Statist. Theory Methods, 37, 617–625.
Kraus, D. (2007). Data-driven smooth tests of the proportional hazards assumption. Lifetime Data Anal., 13, 1–16.
Kraus, D. (2004). Goodness-of-fit inference for the Cox–Aalen additive–multiplicative regression model. Statist. Probab. Lett., 70, 285–298.
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Scientist