Dr. Jona Cederbaum
Research fellow in the working group Biostatistics of Prof. Dr. Sonja Greven
from November 2011 to November 2016
Contact: Jona.Cederbaum[at]stat.uni-muenchen.de
Publications
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Cederbaum, Scheipl, Greven (2018):
Fast symmetric additive covariance smoothing. Computational Statistics & Data Analysis, 120, 25-41, Online Appendix.
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Pouplier, Cederbaum, Hoole, Marin, and Greven (2017): Mixed modeling
for irregularly sampled and correlated functional data: Speech science applications.
Journal of the Acoustical Society of America, 142(2), 935-946.
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Cederbaum, Pouplier, Hoole, Greven (2016):
Functional Linear
Mixed Models for Irregularly or Sparsely Sampled Data. Statistical Modelling, 16(1), 67-88, Online Appendix.
- Kuppinger, Hartl, Bertok, Hoffmann, Cederbaum, Bender, Küchenhoff, Rittler (2013):
Nutritional screening for risk prediction in patients scheduled for
extra-abdominal surgery.
Nutrition, 29(2), 399-404.
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Kuppinger, Hartl, Bertok, Hoffmann, Cederbaum, Küchenhoff, Jauch, Rittler (2012):
Nutritional risk screening (NRS-2002)–geeignet für die Einschätzung des postoperativen Risikos nach abdominalchirurgischen Eingriffen?
Aktuelle Ernährungsmedizin, 37(03).
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Kuppinger, Hartl, Bertok, Hoffmann, Cederbaum, Küchenhoff, Jauch, Rittler (2012):
Nutritional screening for risk prediction in patients scheduled for abdominal operations.
British Journal of Surgery, 99(5), 728-737.
Papers in Proceedings
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Cederbaum, Greven, Pouplier, Hoole (2014):
Functional Linear Mixed Model for Irregularly Spaced Phonetics Data.
Proceedings of the 29th International Workshop on Statistical Modelling, Göttingen, Germany, 14-18 July 2014.
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Pouplier, Hoole, Cederbaum, Greven, Pastätter (2014):
Perceptual and articulatory factors in German fricative assimilation.
Proceedings of the 10th International Seminar on Speech Production, Cologne, Germany, 5-8 May 2014.
Current Preprints / Technical Reports / Submitted
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Greven, Cederbaum, Shou (2016):
Principal component-based functional linear mixed models. Working Paper.
Software
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Author of the R-package sparseFLMM. Available on CRAN, see sparseFLMM.
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Co-author of the R-package denseFLMM. Available on CRAN, see denseFLMM.
Talks
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Functional Linear Mixed Models for Irregularly or Sparsely Sampled Data. Research visit at Johns Hopkins University, February 3-13 2016, Baltimore, MD, USA.
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Functional Linear Mixed Model for Irregularly Spaced Phonetics Data. 29th IWSM 2014, July 14-18, Göttingen, Germany.
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Functional Linear Mixed Models for Irregularly Spaced Sibilant Assimilation Data.
MAMPF Seminar, Institute of Phonetics and Speech Processing, November 20, 2013, Munich, Germany.
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Functional Linear Mixed Models for Sparsely or Irregularly Sampled Data. DStatG-Nachwuchsworkshop 2012, September 17-18, Vienna, Austria.
Posters
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Functional Linear Mixed Models for Sparsely or Irregularly Sampled Data. 28th IWSM 2013, July 08-12, Palermo, Italy (Poster as pdf).
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Functional Linear Mixed Models for Sparsely or Irregularly Sampled Data. DAGStat Conference 2013, March 19-22, Freiburg, Germany, DAGStat poster prize (Poster as pdf).
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Functional Linear Mixed Models for Sparsely or Irregularly Sampled Data. Research Workshop: High dimensional and dependent functional data 2012, September 10-12, Bristol, UK.
Theses
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Diploma Thesis: Conditional Akaike Information Criteria in Generalized Linear Mixed Models.
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PhD Thesis: Functional Linear Mixed Models for Complex Correlation Structures and General Sampling Grids.
Research stays
Teaching
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