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Veröffentlichungsdatum
Anzahl der Publikationen: 48
2022
Alas, Honey Dawn; Stoecker, Almond; Umlauf, Nikolaus; Senaweera, Oshada; Pfeifer, Sascha; Greven, Sonja und Wiedensohler, Alfred
(2022):
Pedestrian exposure to black carbon and PM2.5 emissions in urban hot spots: new findings using mobile measurement techniques and flexible Bayesian regression models.
In: Journal of Exposure Science and Environmental Epidemiology, Bd. 32, Nr. 4: S. 604-614
2021
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
2020
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]
2019
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
2018
Cederbaum, Jona; Scheipl, Fabian und Greven, Sonja
(2018):
Fast symmetric additive covariance smoothing.
In: Computational Statistics & Data Analysis, Bd. 120: S. 25-41
Happ, Clara; Greven, Sonja und Schmid, Volker J. 
ORCID: 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
ORCID: 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
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
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
2017
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
2016
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
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
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
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]
2015
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]
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
2014
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
2013
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
2012
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
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]
2011
Wiencierz, Andrea; Greven, Sonja und Küchenhoff, Helmut ORCID: 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]
ORCID: 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]
Wiencierz, Andrea; Greven, Sonja und Küchenhoff, Helmut ORCID: 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
ORCID: 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: 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
ORCID: 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
2010
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