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Gruppiert nach: Dokumententyp | Veröffentlichungsdatum
Anzahl der Publikationen: 47

Zeitschriftenartikel

Säfken, Benjamin; Rügamer, David; Kneib, Thomas und Greven, Sonja (2021): Conditional Model Selection in Mixed-Effects Models with cAIC4. In: Journal of Statistical Software, Bd. 99, Nr. 8: S. 1-30

Rugamer, David; Baumann, Philipp F. M. und Greven, Sonja (2021): Selective inference for additive and linear mixed models. In: Computational Statistics & Data Analysis, Bd. 167, 107350

Brockhaus, Sarah; Ruegamer, David und Greven, Sonja (2020): Boosting Functional Regression Models with FDboost. In: Journal of Statistical Software, Bd. 94, Nr. 10: S. 1-50

Ruegamer, David und Greven, Sonja (2020): Inference for L-2-Boosting. In: Statistics and Computing, Bd. 30, Nr. 2: S. 279-289

Stoecker, Almond; Brockhaus, Sarah; Schaffer, Sophia Anna; Bronk, Benedikt von; Opitz, Madeleine und Greven, Sonja (2020): Boosting functional response models for location, scale and shape with an application to bacterial competition. In: Statistical Modelling, Bd. 21, Nr. 5: S. 385-404 [PDF, 872kB]

Happ, Clara; Scheipl, Fabian; Gabriel, Alice-Agnes und Greven, Sonja (2019): A general framework for multivariate functional principal component analysis of amplitude and phase variation. In: Stat, Bd. 8, Nr. 1, e220

Brendel, Matthias; Sauerbeck, Julia; Greven, Sonja; Kotz, Sebastian; Scheiwein, Franziska; Blautzik, Janusch; Delker, Andreas; Pogarell, Oliver; Ishii, Kazunari; Bartenstein, Peter und Rominger, Axel (2018): Serotonin Selective Reuptake Inhibitor Treatment Improves Cognition and Grey Matter Atrophy but not Amyloid Burden During Two-Year Follow-Up in Mild Cognitive Impairment and Alzheimer's Disease Patients with Depressive Symptoms. In: Journal of Alzheimers Disease, Bd. 65, Nr. 3: S. 793-806

Happ, Clara; Greven, Sonja und Schmid, Volker J. ORCID logoORCID: https://orcid.org/0000-0003-2195-8130 (2018): The impact of model assumptions in scalar‐on‐image regression. In: Statistics in Medicine, Bd. 37, Nr. 28: S. 4298-4317

Köhler, Meike; Umlauf, Nikolaus und Greven, Sonja (2018): Nonlinear association structures in flexible Bayesian additive joint models. In: Statistics in Medicine, Bd. 37, Nr. 30: S. 4771-4788

Cederbaum, Jona; Scheipl, Fabian und Greven, Sonja (2018): Fast symmetric additive covariance smoothing. In: Computational Statistics & Data Analysis, Bd. 120: S. 25-41

Brockhaus, Sarah; Fuest, Andreas; Mayr, Andreas und Greven, Sonja (2018): Signal regression models for location, scale and shape with an application to stock returns. In: Journal of the Royal Statistical Society Series C-Applied Statistics, Bd. 67, Nr. 3: S. 665-686

Happ, Clara und Greven, Sonja (2018): Multivariate Functional Principal Component Analysis for Data Observed on Different (Dimensional) Domains. In: Journal of the American Statistical Association, Bd. 113, Nr. 522: S. 649-659

Ruegamer, David und Greven, Sonja (2018): Selective inference after likelihood- or test-based model selection in linear models. In: Statistics & Probability Letters, Bd. 140: S. 7-12

Rügamer, David; Brockhaus, Sarah; Gentsch, Kornelia; Scherer, Klaus und Greven, Sonja (2018): Boosting factor-specific functional historical models for the detection of synchronization in bioelectrical signals. In: Journal of the Royal Statistical Society Series C-Applied Statistics, Bd. 67, Nr. 3: S. 621-642

Köhler, Meike; Beyerlein, Andreas; Vehik, Kendra; Greven, Sonja; Umlauf, Nikolaus; Lernmark, Ake; Hagopian, William A.; Rewers, Marian; She, Jin-Xiong; Toppari, Jorma; Akolkar, Beena; Krischer, Jeffrey P.; Bonifacio, Ezio und Ziegler, Anette-G. (2017): Joint modeling of longitudinal autoantibody patterns and progression to type 1 diabetes: results from the TEDDY study. In: Acta Diabetologica, Bd. 54, Nr. 11: S. 1009-1017

Köhler, Meike; Umlauf, Nikolaus; Beyerlein, Andreas; Winkler, Christiane; Ziegler, Anette-Gabriele und Greven, Sonja (2017): Flexible Bayesian additive joint models with an application to type 1 diabetes research. In: Biometrical Journal, Bd. 59, Nr. 6: S. 1144-1165

Greven, Sonja und Scheipl, Fabian (2017): A general framework for functional regression modelling. In: Statistical Modelling, Bd. 17, Nr. 43132: S. 1-35 [PDF, 786kB]

Greven, Sonja und Scheipl, Fabian (2017): Rejoinder. In: Statistical Modelling, Bd. 17, Nr. 1-2: S. 100-115

Pouplier, Marianne; Cederbaum, Jona; Hoole, Philip; Marin, Stefania und Greven, Sonja (2017): Mixed modeling for irregularly sampled and correlated functional data: Speech science applications. In: Journal of the Acoustical Society of America, Bd. 142, Nr. 2: S. 935-946

Brockhaus, Sarah; Melcher, Michael; Leisch, Friedrich und Greven, Sonja (2017): Boosting Flexible Functional Regression Models with a High Number of Functional Historical Effects. In: Statistics and Computing, Bd. 27, Nr. 4: S. 913-926

Scheipl, Fabian und Greven, Sonja (2016): Identifiability in penalized function-on-function regression models. In: Electronic Journal of Statistics, Bd. 10, Nr. 1: S. 495-526

Scheipl, Fabian; Gertheiss, Jan und Greven, Sonja (2016): Generalized functional additive mixed models. In: Electronic Journal of Statistics, Bd. 10, Nr. 1: S. 1455-1492

Greven, Sonja und Scheipl, Fabian (2016): Comment. "Smoothing parameter and model selection for general smooth models". In: Journal of the American Statistical Association, Bd. 111, Nr. 516: S. 1568-1573

Brockhaus, Sarah; Melcher, Michael; Leisch, Friedrich und Greven, Sonja (2016): Boosting Flexible Functional Regression Models with a High Number of Functional Historical Effects. In: Statistics and Computing

Scheipl, Fabian; Gertheiss, Jan und Greven, Sonja (2016): Generalized functional additive mixed models. In: Electronic Journal of Statistics, Bd. 10, Nr. 1: S. 1455-1492

Cederbaum, Jona; Pouplier, Marianne; Hoole, Phil und Greven, Sonja (2016): Functional linear mixed models for irregularly or sparsely sampled data. In: Statistical Modelling, Bd. 16, Nr. 1: S. 67-88 [PDF, 2MB]

Augustin, Nicole H.; Mattocks, Calum; Faraway, Julian J.; Greven, Sonja und Ness, Andy R. (2015): Modelling a response as a function of high-frequency count data: The association between physical activity and fat mass. In: Statistical Methods in Medical Research [PDF, 630kB]

Scheipl, Fabian; Staicu, Ana-Maria und Greven, Sonja (2015): Functional Additive Mixed Models. In: Journal of Computational and Graphical Statistics, Bd. 24, Nr. 2: S. 477-501

Brockhaus, Sarah; Scheipl, Fabian; Hothorn, Torsten und Greven, Sonja (2015): The Functional Linear Array Model. In: Statistical Modelling, Bd. 15, Nr. 3: S. 279-300 [PDF, 3MB]

Shou, Haochang; Zipunnikov, Vadim; Crainiceanu, Ciprian M. und Greven, Sonja (2015): Structured Functional Principal Component Analysis. In: Biometrics, Bd. 71: S. 247-257

Fuchs, Karen; Scheipl, Fabian und Greven, Sonja (2015): Penalized scalar-on-functions regression with Interaction Term. In: Computational Statistics & Data Analysis, Bd. 81, Nr. 1: S. 38-51

Zipunnikov, Vadim; Greven, Sonja; Caffo, Brian S.; Reich, Daniel S. und Crainiceanu, Ciprian M. (2014): Longitudinal High-Dimensional Principal Components Analysis with Application to Diffusion Tensor Imaging of Multiple Sclerosis. In: Annals of Applied Statistics, Bd. 8, Nr. 4: S. 2175-2202

Säfken, Benjamin; Kneib, Thomas; Waveren, Clara-Sophie van und Greven, Sonja (2014): A Unifying Approach to the Estimation of the Conditional Akaike Information in Generalized Linear Mixed Models. In: Electronic Journal of Statistics, Bd. 8: S. 201-225

Goldsmith, Jeff; Greven, Sonja und Crainiceanu, Ciprian (2013): Corrected Confidence Bands for Functional Data Using Principal Components. In: Biometrics, Bd. 69, Nr. 1: S. 41-51

Gertheiss, Jan; Goldsmith, Jeff; Crainiceanu, Ciprian und Greven, Sonja (2013): Longitudinal Scalar-on-Functions Regression with Application to Tractography Data. In: Biostatistics, Bd. 14, Nr. 3: S. 447-461

Greven, Sonja und Crainiceanu, Ciprian (2013): On Likelihood Ratio Testing for Penalized Splines. In: Advances in Statistical Analysis, Bd. 97, Nr. 4: S. 387-402

Baumert, Jens; Karakas, Mahir; Greven, Sonja; Rückerl, Regina; Peters, Annette und Koenig, Wolfgang (2012): Variability of fibrinogen measurements in post-myocardial infarction patients: Results from the AIRGENE study center Augsburg. In: Thrombosis and Haemostasis, Bd. 107, Nr. 5: S. 895-902

Wiencierz, Andrea; Greven, Sonja und Küchenhoff, Helmut ORCID logoORCID: https://orcid.org/0000-0002-6372-2487 (2011): Restricted likelihood ratio testing in linear mixed models with general error covariance structure. In: Electronic Journal of Statistics, Bd. 5: S. 1718-1734

Brüske, Irene; Hampel, Regina; Baumgärtner, Zita.; Rückerl, Regina; Greven, Sonja; Koenig, Wolfgang; Peters, Annette und Schneider, Alexandra (2011): Ambient Air Pollution and Lipoprotein-Associated Phospholipase A2 in Survivors of Myocardial Infarction. In: Environmental Health Perspectives, Bd. 119, Nr. 7: S. 921-926

Greven, Sonja; Dominici, Francesca und Zeger, Scott (2011): An Approach to the Estimation of Chronic Air Pollution Effects Using Spatio-Temporal Information. In: Journal of the American Statistical Association, Bd. 106, Nr. 494: S. 396-406

Wilbert-Lampen, Ute; Nickel, Thomas; Scheipl, Fabian; Greven, Sonja; Küchenhoff, Helmut ORCID logoORCID: https://orcid.org/0000-0002-6372-2487; Kääb, Stefan und Steinbeck, Gerhard (2011): Mortality due to myocardial infarction in the bavarian population during world cup soccer 2006. In: Clinical Research in Cardiology, Bd. 100, Nr. 9: S. 731-736

Karakas, Mahir; Baumert, Jens; Greven, Sonja; Ruckerl, Regina; Peters, Annette und Koenig, Wolfgang (2010): Reproducibility in serial C-reactive protein and Interleukin-6 measurements in post-myocardial infarction patients: Results from the AIRGENE study. In: Clinical Chemistry, Bd. 56, Nr. 5: S. 861-8641

Greven, Sonja und Kneib, Thomas (2010): On the behaviour of marginal and conditional AIC in linear mixed models. In: Biometrika, Bd. 97, Nr. 4: S. 773-789

Greven, Sonja; Crainiceanu, Ciprian; Caffo, Brian S. und Reich, Daniel S. (2010): Longitudinal functional principal component analysis. In: Electronic Journal of Statistics, Bd. 4: S. 1022-1054

Paper

Scheipl, Fabian und Greven, Sonja (11. Juni 2015): Identifiability in penalized function-on-function regression models. Department of Statistics: Technical Reports, Nr. 125 [PDF, 825kB]

Gertheiss, Jan; Goldsmith, Jeff; Crainiceanu, Ciprian und Greven, Sonja (2012): Longitudinal Scalar-on-Function Regression with Application to Tractography Data. Department of Statistics: Technical Reports, Nr. 118 [PDF, 740kB]

Wiencierz, Andrea; Greven, Sonja und Küchenhoff, Helmut ORCID logoORCID: https://orcid.org/0000-0002-6372-2487 (6. Juni 2011): Restricted Likelihood Ratio Testing in Linear Mixed Models with General Error Covariance Structure. Department of Statistics: Technical Reports, Nr. 109 [PDF, 433kB]

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