Humboldt-Universität zu Berlin | School of Business and Economics | Statistics | News News Symposium on AI in Digital Health (28th january 2022) Prof. Greven became Associate Editor of the Journal Statistical Modelling New preprint "Navigating the corporate disclosure gap: Modelling of Missing Not at Random Carbon Data" by Olesiewicz, Kooroshy, and Greven at arXiv New preprint "Additive Density-on-Scalar Regression in Bayes Hilbert Spaces with an Application to Gender Economics" by Maier, Stöcker, Fitzenberger, and Greven at arXiv Paper "Multivariate Functional Additive Mixed Models" by Volkmann, Stöcker, Scheipl and Greven is accepted by Statistical Modelling Paper "Conditional Model Selection in Mixed-Effects Models with cAIC4" by Säfken, Rügamer, Kneib and Greven has appeared in Journal of Statistical Software 99 Paper "Selective Inference for Additive and Linear Mixed Models" by Rügamer, Baumann and Greven is accepted by CSDA New preprint "Functional additive regression on shape and form manifolds of planar curves" by Stöcker, and Greven at arXiv New preprint "Elastic analysis of irregularly or sparsely sampled curves" by Steyer, Stöcker, and Greven at arXiv New preprint "Multivariate Functional Additive Mixed Models" by Volkmann, Stöcker, Scheipl, and Greven at arXiv New preprint "Adaptive Step-Length Selection in Gradient Boosting for Generalized Additive Models for Location, Scale and Shape" by Zhang, Hepp, Greven, and Bergherr at arXiv 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 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 Dr. Matthias Eckardt Granted a Walter Benjamin Fellowship of the DFG 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 Paper "Boosting Functional Regression Models with FDboost" by Brockhaus, Rügamer and Greven has appeared in Journal of Statistical Software 94(10) Prof. Greven was selected for the Gumbel lecture 2020 of the German Statistical Society (DStatG) New preprint "Selective Inference for Additive and Linear Mixed Models" by Rügamer, Baumann and Greven at arXiv 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 Paper "Comments on: Inference and computation with Generalized Additive Models and their extensions" by Greven and Scheipl appeared in TEST < Previous 20 items 1 2 3 4 5 Next 9 items >
New preprint "Navigating the corporate disclosure gap: Modelling of Missing Not at Random Carbon Data" by Olesiewicz, Kooroshy, and Greven at arXiv
New preprint "Additive Density-on-Scalar Regression in Bayes Hilbert Spaces with an Application to Gender Economics" by Maier, Stöcker, Fitzenberger, and Greven at arXiv
Paper "Multivariate Functional Additive Mixed Models" by Volkmann, Stöcker, Scheipl and Greven is accepted by Statistical Modelling
Paper "Conditional Model Selection in Mixed-Effects Models with cAIC4" by Säfken, Rügamer, Kneib and Greven has appeared in Journal of Statistical Software 99
Paper "Selective Inference for Additive and Linear Mixed Models" by Rügamer, Baumann and Greven is accepted by CSDA
New preprint "Functional additive regression on shape and form manifolds of planar curves" by Stöcker, and Greven at arXiv
New preprint "Elastic analysis of irregularly or sparsely sampled curves" by Steyer, Stöcker, and Greven at arXiv
New preprint "Multivariate Functional Additive Mixed Models" by Volkmann, Stöcker, Scheipl, and Greven at arXiv
New preprint "Adaptive Step-Length Selection in Gradient Boosting for Generalized Additive Models for Location, Scale and Shape" by Zhang, Hepp, Greven, and Bergherr at arXiv
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
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
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
Paper "Boosting Functional Regression Models with FDboost" by Brockhaus, Rügamer and Greven has appeared in Journal of Statistical Software 94(10)
New preprint "Selective Inference for Additive and Linear Mixed Models" by Rügamer, Baumann and Greven at arXiv
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
Paper "Comments on: Inference and computation with Generalized Additive Models and their extensions" by Greven and Scheipl appeared in TEST
