University of Bamberg
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Social Sciences, Economics and Business Administration

Chair of Survey Statistics and Data Analysis

  1.  University of bamberg
  2. Faculties
  3. Social Sciences, Economics and Business Administration
  4. Subjects and Institutes
  5. Statistics and Business Mathematics
  6. Lehrstühle & Professuren
  7. Chair of Survey Statistics and Data Analysis
  8. Team
  9. Dr. Thorsten Schnapp

Dr. Thorsten Schnapp (Dipl.-Soz., M. Sc.)

Office      AS6/-1.05
Emailthorsten.schnapp (at) lifbi.de

For further information on Dr. Thorsten Schnapp please see the respective LIfBi profile.

Research Interests

  • Statistical algorithms and programming (R, Python, C/C++)
  • Estimation / Machine Learning algorithms and classification procedures
  • Data preparation, data analysis and prognosis
  • (Bio-/Medical Statistics, Econometrics, Systems theory, Epistemology)

Teaching / Theses

Former Teaching

  • Advanced Data Analysis with R, Univ. Bamberg
  • Applied Statistics on the PC / Angewandte Statistik am PC, Univ. Bamberg
  • Computer-Aided Statistics / Introduction to Programming with R  (Computergestützte Statistik / Einführung in die Programmierung mit R), Univ. Bamberg
  • Introduction Master Survey Statistik (Introduction to Matrix, integral and differential calculus) (Einführung Master Survey-Statistik), Univ. Bamberg
  • Exercise course for Time Series Analysis, Univ. Bamberg
  • Time Series Analysis (Lecture), Univ. Bamberg
  • Statistical Methods II (Lecture), Univ. Bamberg
  • Introduction to R, ECPR Winterschool in Methods and Techniques

Supervised Bachelor's and Master's theses

  • Master, Field of research: Comparing machine learning techniques for German stock market index prediction
  • Master, Field of research: Determinants of human body weight fluctuations with respect to malnutrition and therapeutic intervention
  • Master, Field of research: Convolution neural networks in image based nevi classification
  • Master, Field of research: Quantum-RNGs
  • Master, Field of research: Interpretability of (tree based) machine learning algorithms in the context of diabetes patients
  • Master, Field of research: Classification of breast cancer
  • Bachelor, Field of research: Application of ordered probit regression to economic data, with Prof. Dr. S. Rässler (main supervisor)
  • Bachelor, Field of research: Variable selection in econometric models, with Prof. Dr. S. Rässler (main supervisor)

Talks

  • Schnapp, T., Aßmann C., Bayesian IRT and Factor Modelling with Missing Values. Joint Statistical Meetings 2018, Vancouver, Canada, 28.07.-02.08.2018.
  • Schnapp, T., Aßmann C., Investigating sign-changes in Bayesian Item Factor Analysis Estimates. Opening Meeting of the 3rd Funding Phase, SPP 1646 "Education as a Lifelong Process", Bamberg, 19.-20.04.2018.
  • Schnapp, T., Aßmann C., Multidimensional Bayesian Item Factor Analysis while Imputing Missing Values in Background Variables. Final Conference of the 2nd Funding Phase, SPP 1646 "Education as a Lifelong Process", Bamberg, 04.-05.12.2017.
  • Schnapp, T., Aßmann C., Bayesian Item Factor Analysis with Missing Values. 6th  & 7th Workshop on "Analysis of Incomplete Data" (AID), Bamberg, 19.07.2017 and 17.10.2017.
  • Schnapp, T., Aßmann C., Multidimensional Item Factor Analysis with Missing Values. Colloquium of the SPP 1646 "Education as a Lifelong Process", European University Institute, Florence, 15.-16.09.2016.
  • Schnapp, T., Aßmann C., Über Bayesianische Faktorenanalyse. SurveyConf15, Berlin, 01.-04.10.2015.
  • Schnapp, T., Gibbs Sampling & Imputation. 5th Workshop on "Analysis of Incomplete Data" (AID), Bamberg, 20.03.2014.