Research interests

Most of my research work is connected with the broad topic of statistical inference with stochastic processes: data are represented as stochastic processes, models and methods of their analysis are motivated by, developed through or justified by theories and techniques for stochastic processes. In particular, my interests include:

  • Functional data analysis
  • Survival and event history analysis, point processes
  • Inverse problems, regularization
  • Non- and semi-parametric procedures
  • Incomplete data, censoring, missing data
  • Quantile methods, goodness-of-fit inference, robust analysis
  • Applications


ORCID iD, Google Scholar profile


Kraus, D. (2019). Inferential procedures for partially observed functional data. Journal of Multivariate Analysis, 173, 583-603. Paper, supplement, code

Wandeler, G., Mauron, E., Atkinson, A., Dufour, J.-F., Kraus, D., Reiss, P., Peters, L., Dabis, F., Fehr, J., Bernasconi, E., van der Valk, M., Smit, C., Gjærde, L. K., Rockstroh, J., Neau, D., Bonnet, F. & Rauch, A. (2019). Incidence of Hepatocellular Carcinoma in HIV/HBV-coinfected Patients on Tenofovir therapy: Relevance for Screening Strategies. Journal of Hepatology. In press.

Kraus, D. & Stefanucci, M. (2019). Classification of functional fragments by regularized linear classifiers with domain selection. Biometrika, 106(1), 161-180. Paper+supplement

Gebreselassie, H. M., Kraus, D., Fux, C. A., Haubitz, S., Scherrer, A., Hatz, C., Veit, O., Stoeckle, M., Fehr, J., de Lucia, S., Cavassini, M., Bernasconi, E., Schmid, P., Furrer, H. & Staehelin, C. (2017). Ethnicity predicts viral rebound after travel to the tropics in HIV‐infected travelers to the tropics in the Swiss HIV Cohort Study. HIV Medicine, 18(8), 564-572.

Wandeler, G., Kraus, D., Fehr, J., Conen, A., Calmy, A., Orasch, C., Battegay, M., Schmid, P., Bernasconi, E., Furrer, H. (2016). The J-curve in HIV: low and moderate alcohol intake predicts mortality but not the occurrence of major cardiovascular events. Journal of Acquired Immune Deficiency Syndromes, 71(3), 302-309.

Kraus, D. (2015). Components and completion of partially observed functional data. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 77(4), 777-801. Paper, supplement, code

Kraus, D. & Panaretos, V. M. (2012). Dispersion operators and resistant second-order functional data analysis. Biometrika, 99(4), 813-832. Paper, supplement

Panaretos, V. M., Kraus, D. & Maddocks, J. H. (2010). Second-order comparison of Gaussian random functions and the geometry of DNA minicircles. Journal of the American Statistical Association, 105(490), 670-682. Paper, supplement

Kraus, D. (2009). Adaptive Neyman’s smooth tests of homogeneity of two samples of survival data. Journal of Statistical Planning and Inference, 139(10), 3559-3569. Paper

Kraus, D. (2009). Checking proportional rates in the two-sample transformation model. Kybernetika, 45(2), 261-278. Paper

Kraus, D. (2008). Identifying nonproportional covariates in the Cox model. Communications in Statistics—Theory and Methods, 37(4), 617-625. Paper

Kraus, D. (2007). Data-driven smooth tests of the proportional hazards assumption. Lifetime Data Analysis, 13(1), 1-16. Paper

Kraus, D. (2004). Goodness-of-fit inference for the Cox–Aalen additive–multiplicative regression model. Statistics & Probability Letters, 70(4), 285-298. Paper

Other peer-reviewed publications

Kraus, D. (2014). Partially observed functional data. In Contributions in Infinite-Dimensional Statistics and Related Topics (pp. 179-184). Esculapio, Bologna.

Panaretos, V. M., Kraus, D. & Maddocks, J. H. (2011). Second-order inference for functional data with application to DNA minicircles. In Recent advances in functional data analysis and related topics (pp. 245-250). Physica-Verlag, Heidelberg.