News from the Emmy Noether Research Group

Prof. Dr. Sonja Greven takes over the Chair of Statistics

Paper "Inference for L2-Boosting" by Rügamer and Greven accepted for publication in Statistics and Computing

Prof. Dr. Nadja Klein, receives funding from DFG’s Emmy Noether Programme

Top Download: "Flexible Bayesian additive joint models with an application to type 1 diabetes research" by Köhler, Umlauf, Beyerlein, Winkler, Ziegler and Greven

koehler_top20_certificate.pdf

Prof. Sonja Greven Granted the Princess Therese of Bavaria Award

Paper "Modelling Regional Patterns of Inefficiency" by Klein, Herwartz and Kneib accepted for publication in Journal of Econometrics

Paper "Assessing the relationship between markers of glycemic control through flexible copula regression models" by Espasandin Dominguez, Cadarso-Suárez, Kneib, Klein, Radice, Lado-Baleato and Gude accepted

Prof. Greven receives DFG funding for „Flexible regression methods for curve and shape data“

Paper "Inference for L2-Boosting" by Rügamer and Greven appeared in Statistics and Computing 30(2)

Paper "Comments on: Inference and computation with Generalized Additive Models and their extensions" by Greven and Scheipl appeared in TEST

Paper "Boosting Functional Response Models for Location, Scale and Shape with an Application to Bacterial Competition" by Stöcker, Brockhaus, Schaffer, von Bronk, Opitz and Greven accepted

New preprint "Selective Inference for Additive and Linear Mixed Models" by Rügamer, Baumann and Greven at arXiv

Prof. Greven was selected for the Gumbel lecture 2020 of the German Statistical Society (DStatG)

Paper "Boosting Functional Regression Models with FDboost" by Brockhaus, Rügamer and Greven has appeared in Journal of Statistical Software 94(10)

New preprint "Predicting respondent difficulty in web surveys: A machine-learning approach based on mouse movement features" by Fernández-Fontelo, Kieslich, Henninger, Kreuter and Greven at arXiv

Dr. Matthias Eckardt Granted a Walter Benjamin Fellowship of the DFG

Paper "Predicting question difficulty in web surveys: A machine-learning approach based on mouse movement features" by Fernandez-Fontelo, Kieslich, Henninger, Kreuter and Greven will appear in Social Science Computer Review

Paper "Pedestrian exposure to black carbon and PM 2.5 emissions in urban hot spots: New findings using mobile measurement techniques and flexible Bayesian regression models" by Alas et al. is accepted by JESEE