Publications 2013

• Fellinghauer, B., Bühlmann, P., Ryffel, M., von Rhein, M., Reinhardt, J.D. (2013). Stable graphical model estimation with Random Forests for discrete, continuous, and mixed variables. Computational Statistics & Data Analysis 64, 132-152. PDF
• Frei, M. and Künsch, H.R. (2013) Mixture Ensemble Kalman Filters, Computational Statistics and Data Analysis 58, 127-138.
• Frei, M. and Künsch, H.R. (2013) Bridging the ensemble Kalman and particle filter. Biometrika accepted.
• Künsch, H.R. (2013) Particle Filters, Bernoulli, accepted.
• Ravizza, S., Atkin, J.A.D., Maathuis, M.H. and Burke, E.K. (2013).  A combined statistical approach and ground movement model for improving taxi time estimations at airports. Journal of the Operational Research Society, advance online publication (DOI 10.1057/jors.2012.123).
• van de Geer, S. and Mueller, P. (2013).  Quasi-likelihood and/or robust estimation in high-dimensions. Statistical Science 27, 469-480.
• Weber, D.M., Landolt, M.A., Gobet, R., Kalisch, M., and Greeff N.K. (2013). The Penile Perception Score: An Instrument Enabling Evaluation by Surgeons and Patient Self-Assessment after Hypospadias Repair. J. Urol., Vol 189, Issue 1, 189-193.(published version)

Preprints

• Bühlmann, P., Kalisch, M. and Meier, L. (2013). High-dimensional statistics with a view towards applications in biology. To appear in Annual Review of Statistics and its Applications. Preprint PDF
• Bühlmann, P., Rütimann, Ph., van de Geer, S. and Zhang, C (2013). Correlated variables in regression: clustering and sparse estimation. To appear in Journal of Statistical Planning and Inference (with discussion).
• Colombo, D. and Maathuis, M.H.(2013). A modification of the PC algorithm yielding order-independent skeletons. (arXiv:1211.3295v1)
• Hauser, A. and Bühlmann, P. (2013). Jointly interventional and observational data: estimation of interventional Markov equivalence classes of directed acyclic graphs. Preprint arXiv:1303.3216v1.
• Peters, J. and Bühlmann, P. (2013). Structural intervention distance (SID) for evaluating causal graphs. Preprint arXiv:1306.1043v1
• van de Geer, S. and Bühlmann, P. (2013). l0-penalized maximum likelihood estimation for sparse directed acyclic graphs . To appear in The Annals of Statistics.
  
• van de Geer, S. (2013). Generic chaining and the l1 penalty . To appear in Journal of Statistical Planning and Inference (with discussion) 
• van de Geer, S. and Lederer, J. (2013) The Bernstein-Orlicz norm and deviation inequalities . To appear in Probability Theory and Related Fields.
  
• van de Geer, S. and Maathuis, M. (2013). Discussion of the paper by Piet Groeneboom: Nonparametric (smoothed) maximum likelihood and integral equations. To appear in Journal of Statistical Planning and Inference.
  
• van de Geer, S. (2013). Discussion of the paper by M. Mougeot, D. Picard and K. Tribouley: Grouping strategies and thresholding for high-dimension linear models. To appear in Journal of Statistical Planning and Inference.

Reports

van de Geer, S.,  Bühlmann, P. and Ritov, Y. (2013). On asymptotically optimal confidence regions and tests for high-dimensional models. Preprint available at ArXiv 1303.0518v1

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