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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

  1. Cederbaum, Pouplier, Hoole, Greven (2016): Functional Linear Mixed Models for Irregularly or Sparsely Sampled Data. Statistical Modelling, 16(1), 67-88, Online Appendix.
  2. 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.
  3. 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).
  4. 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

  1. 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.
  2. 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

  1. Pouplier, Cederbaum, Hoole, Greven (2016): Mixed modeling for functional data for research in the speech sciences. Under review.
  2. Cederbaum, Scheipl, Greven (2016): Fast symmetric additive covariance smoothing. Under review. arXiv, Online Appendix.

Software

  1. Author of the R-package sparseFLMM. Available on CRAN, see sparseFLMM.
  2. Co-author of the R-package denseFLMM. Available on CRAN, see denseFLMM.

Talks

  1. Functional Linear Mixed Models for Irregularly or Sparsely Sampled Data. Research visit at Johns Hopkins University, February 3-13 2016, Baltimore, MD, USA.
  2. Functional Linear Mixed Model for Irregularly Spaced Phonetics Data. 29th IWSM 2014, July 14-18, Göttingen, Germany.
  3. Functional Linear Mixed Models for Irregularly Spaced Sibilant Assimilation Data. MAMPF Seminar, Institute of Phonetics and Speech Processing, November 20, 2013, Munich, Germany.
  4. Functional Linear Mixed Models for Sparsely or Irregularly Sampled Data. DStatG-Nachwuchsworkshop 2012, September 17-18, Vienna, Austria.

Posters

  1. Functional Linear Mixed Models for Sparsely or Irregularly Sampled Data. 28th IWSM 2013, July 08-12, Palermo, Italy (Poster as pdf).
  2. Functional Linear Mixed Models for Sparsely or Irregularly Sampled Data. DAGStat Conference 2013, March 19-22, Freiburg, Germany, DAGStat poster prize (Poster as pdf).
  3. Functional Linear Mixed Models for Sparsely or Irregularly Sampled Data. Research Workshop: High dimensional and dependent functional data 2012, September 10-12, Bristol, UK.

Research stays

    Research visit, Bloomberg School of Public Health, Johns Hopkins University, February 3-13 2016, Baltimore, MD, USA.


Teaching

Semester Course/Lehrveranstaltung
SoSe 2016 Exercise for the lecture Analysis of Longitudinal Data
SoSe 2016 Übung zur Vorlesung Statistik II für Studierende der Wirtschaftswissenschaften
WiSe 2015/16 Seminar Analyse Funktionaler Daten
Semesterferien SoSe 2015 Anfängerpraktikum und Praxisprojekt
SoSe 2015 Exercise for the lecture Analysis of Longitudinal Data
WiSe 2014/15 Übung zur Vorlesung Statistik I für Studierende der Wirtschaftswissenschaften
SoSe 2014 Übung zur Vorlesung Analyse longitudinaler Daten
September 2013 Kurs Einführung in die Biostatistik für die Helmholtz Graduate School Environmental Health (HELENA)
WiSe 2012/13 Übung zur Vorlesung Statistik I für Studierende der Wirtschaftswissenschaften
WiSe 2012/13 Seminar Funktionale Datenanalyse
SoSe 2012 Übung zur Vorlesung Analyse longitudinaler Daten
Semesterferien WiSe 2011/12 Statistisches Praktikum
WiSe 2007/8 Übung zur Vorlesung Mathematik für Wirtschaftswissentschaftler



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