Finished dissertations (Supervision)

Dr. Florian Meinfelder

  • 2009, Analysis of Incomplete Survey Data - Multiple Imputation via Bayesian Bootstrap Predictive Mean Matching
  • Award: Hans-Löwel-Preis 2010
  • Lehrstuhl für Statistik und Ökonometrie

Dr. Daniel Wan Hussin

  • 2009, Bayessche Betrachtung von erweiterten GARCH-Modellen

Dr. Jörg Drechsler

  • 2009, Generating Multiply Imputed Synthetic Datasets: Theory and Implementation
  • Awards: EO.N. Wissenschaftspreis 2010, Gerhard-Fürst Preis 2010, Wolfgang-Wetzel-Preis der DStatG 2011
  • Institut für Arbeitsmarkt- und Berufsforschung (IAB)

Dr. Thomas Büttner

  • 2010, Multiple Imputation of Censored Variables
  • Bundesagentur für Arbeit

Dr. Christine Licht

  • 2010, New methods for generating significance levels from multiply-imputed data
  • Award: Promotionspreis der Otto-Friedrich-Universität Bamberg 2011

Dr. Martin Messingschlager

  • 2012, Fehlende Werte in den Sozialwissenschaften - Analyse und Korrektur mit Beispielen aus dem ALLBUS
  • Lehrstuhl für Statistik und Ökonometrie

Dr. Mariana Nold

  • 2014, Behavior of convergence in logistic regression models - Assessing the drop of the Kolmogorov distance between the sampling distribution and the asymptotic distribution of estimators and test statistics in logistic regression analysis
  • Award: Kulturpreis Bayern 2014

Dr. Hans Walter Steinhauer

  • 2014, Sampling techniques and weighting procedures for complex survey designs - The school cohorts of the National Educational Panel Study (NEPS)
  • Leibniz-Institut für Bildungsverläufe e.V.

Dr. Alexander Vosseler

  • 2014, Bayesian Analysis of Stochastic Trends and Seasonality
  • Allianz Global

Dr. Marcel Hebing

  • 2016, A Metadata-Driven Approach to Panel Data Management and Its Application in DDI on Rails
  • DIW Berlin

Dr. Ariane Würbach

  • 2016, Modeling and estimating income data in the presence of distinctive zero and heaped responses
  • Leibniz Institut für Bildungsverläufe e.V.

Dr. Philipp Gaffert

  • 2017, Multiple Imputation via Local Regression (Miles)
  • GfK

Dr. Solange Goßmann

  • 2017, The application of nonparametric data augmentation and imputation using classification and regression trees within a large-scale panel study
  • ERGO

Dr. Christoph Gaasch

  • 2017, Bayesian estimation of latent trait distributions considering hierarchical structures and partially missing covariate data
  • SAS

Dr. Sara Bleninger

  • 2017, KriMI: A Multiple Imputation Approach for Preserving Spatial Dependencies - Imputation of Regional Price Indices using the Example of Bavaria
  • Bayerisches Landesamt für Statistik

Dr. Marcel Preising

  • 2018, Missing Values in Linear Dynamic Panel Models - A Bayesian Approach towards Model Comparison
  • Statistisches Bundesamt

Dr. Julian Körber

  • 2018, Bayesian Analysis of Network Data - Model Selection and Evaluation of the Exponential Random Graph Model
  • Techniker Krankenkasse

Dr. Thorsten Schnapp

  • 2019, Investigation of Automated and Augmented Covariate Imputation during the Estimation of two Confirmatory Multidimensional Bayesian Latent Variable Models
  • Leibniz Institut für Bildungsverläufe e.V.


Via our secretary, sekretariat.stat-oek(at)