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Durham University

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Jochen Einbeck, PhD Ludwig Maximilian University of Munich

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Associate Professor, Statistics in the Department of Mathematical Sciences
Telephone: +44 (0) 191 33 43125
Room number: CM226
Co-Director (Health Data Science) in the Durham Research Methods Centre

Contact Jochen Einbeck (email at

Research Groups

Department of Mathematical Sciences

Research Interests

  • Mixture models
  • Nonparametric regression
  • Principal curves
  • Random effect modelling

Indicators of Esteem

  • Associate Editor, Computational Statistics and Data Analysis:
  • Associate Editor, Statistical Modelling:
  • Associate Editor, Statistics: A Journal of Theoretical and Applied Statistics:
  • Member of the Executive Committee of APTS: I am member of the Executive Committee of the "Academy for PhD Training in Statistics", a national training network (managed by the University of Warwick) designed for first-year postgraduate students in Statistics and Applied Probability.
  • Member of the Executive Committee of the SMS: The Statistical Modelling Society (SMS) is an international society with the purpose of promoting and encouraging statistical modelling, and which organizes the annual conference "International Workshop on Statistical Modelling". I have been member of the SMS Executive Committee 2011-12 and again since 2015.


Chapter in book

  • Einbeck, Jochen, Ainsbury, Elizabeth, Barnard, Stephen, Oliveira, Maria, Manning, Grainne, Puig, Pere & Badie, Christophe (2017). On the Use of Random Effect Models for Radiation Biodosimetry. In Extended Abstracts Fall 2015. Ainsbury, E., Calle, M., Cardis, E., Einbeck, J., Gómez, G. & Puig, P. Cham: Springer. 7: 89-94.
  • Julian, B.R., Foulger, G.R., Hatfield, O., Jackson, S.E., Simpson, E., Einbeck, J. & Moore, A. (2015). Hotspots in Hindsight. In The Interdisciplinary Earth: A Volume in Honor of Don L. Anderson. Foulger, G.R., Lustrino, M. & King, S.D. Boulder, Colorado Washington, DC: The Geological Society of America / AGU. 105-121.
  • Einbeck, Jochen, Evers, Ludger & Bailer-Jones, Coryn (2008). Representing complex data using localized principal components with application to astronomical data. In Lecture Notes in Computational Science and Engineering. Gorban, A Kegl, B Wunsch, D & Zinovyev, A Heidelberg: Springer-Verlag. 58: 180-204.

Conference Paper

Doctoral Thesis

Edited book

Journal Article