Profile of Dr. Stefanie Schwaar

Fields of Activity/Competences

• Time series analysis and forecasting
• Non-linear regression models
• Change-point analysis
• Machine Learning Algorithms
  

 

Publications

• Sicks, R.; Korn, R.; Schwaar, S.:
  A Generalised Linear Model Framework for β-Variational Autoencoders based on Exponential Dispersion Families.
  Journal of Machine Learning Research, Volume 22, Pages 1-41, (2021).
• Blandfort, F.; Glock, C.; Sass, J.; Sefrin, S.; Schwaar, S.:
  Efficient and Comprehensive Time-Dependent Reliability Analysis of Complex Structures by a Parameter State Model.
  ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 7(2), (2021).
• Franke, J.; Hefter M.; Herzwurm A.; Ritter K.; Schwaar, S.:
  Adaptive Quantile Computation for Brownian Bridge in Change-Point Analysis.
  (accepted in Computational Statistics and Data Analysis, https://authors.elsevier.com/c/1dzVRcBz8QCXn), (2020).
• Schwaar, S.:
  Data-driven Change-Point Test and Estimator.
  https://arxiv.org/abs/2010.12449, (2020).
• Sicks, R.; Korn R.; Schwaar S.:
  A lower bound for the ELBO of the Bernoulli Variational Autoencoder. https://arxiv.org/abs/2003.11830, (2020).
• Blandfort, F.; Glock, C.; Sass, J.; Sefrin, S.; Schwaar, S.:
  Subset Simulation Interpolation - A New Approach to Compute Effects of Model-Dynamics in Structural Reliability.
  29th European Safety and Reliability Conference (ESREL2019), Hannover, (2019).
• Blandfort, F.; Glock, C.; Sass, J.; Sefrin, S.; Schwaar, S.:
  A Parametric State Space Model for Time-Dependent Reliability Analysis.
  Accepted for 17th International Probabilistic Workshop (IPW2019), Edinburgh, (2019).
• Dresvyanskiy, D.; Karaseva, T.; Mitrofanov, S.; Redenbach, C.; Makogin, V.; Spodarev, E.; Schwaar, S.:
  Application of Clustering Methods to Anomaly Detection in Fibrous Media.
  IOP Conference Series: Materials Science and Engineering, Vol. 537 (2), p.022001, (2019).
• Schwaar, S.:
  Asymptotics for change-point tests and change-point estimators.
  Dissertation, TU Kaiserslautern, (2017).

A collection of publications by Stefanie Schwaar in the Fraunhofer-Publica