Henrike Häbel

Ph.D. student

Henrike Häbel acquired her Master Degree in econo-mathematics with statistics as her major field of study at Ulm University in September 2012. In October of the same year she began her Ph.D. studies in mathematical statistics at Chalmers University of Technology. Henrike Häbel is part of the Supramolecular Biomaterials Centre (SuMo Biomaterials: http://www.chalmers.se/chem/sumo-en) which is a VINN EXCELLENCE centre financed by VINNOVA. Her research subject specialty is spatial modelling of microstructures of materials. The goal is to understand and control mass transport through different kind of structures. Besides her Ph.D. project, Henrike Häbel is engaged in attending and teaching courses in mathematical statistics and statistical consulting at Chalmers.

Mathematical Statistics

Statistical Image Analysis

Linear mixed models for longitudinal data


SuMo Biomaterials, Chalmers
Chalmers Area of Advance: Materials Science

Fraunhofer Institute for Industrial Mathematics ITWM, Kaiserslautern, Germany

 

Mattfeldt, T.; Häbel, H.; Fleischer, F. (2013). Block bootstrap methods for the estimation of the intensity of a spatial point process with confidence bounds. Journal of Microscopy, 251(1):84-98.

Häbel, H.; Mattheus, M.; Habeck, J. (2011). Einfluss fehlender Daten auf Analyse und Fallzahlplanung in Bioäquivalenzstudien, in: C. Ortseifen, H. Ramroth, M. Weires, R. Minkenberg. KSFE 2011 - Voneinander lernen. Proceedings der 15. Konferenz der SAS®-Anwender in Forschung und Entwicklung (KFSE). Shaker Verlag, Aachen 2011, pp. 207-222.

Published: Mon 14 Jan 2013. Modified: Tue 07 Mar 2017