Uncertainty Quantification in Inverse Problems: Bayesian inversion, Markov chain Monte Carlo sampling, dimension reduction techniques, computational aspects

  • Applications: Marine biogeochemistry, porous media



5. M. Teixeira Parente, A probabilistic framework for approximating functions in active subspaces, 2018 – arXiv

4. D. Bittner, M. Teixeira Parente, S. Mattis, B. Wohlmuth, and G. Chiogna, On the relationship between parameters and discharge data for a lumped karst aquifer model, 2018 – arXiv


3. M. Teixeira Parente, S. Mattis, S. Gupta, C. Deusner, and B. Wohlmuth, Efficient parameter estimation for a methane hydrate model with active subspaces, Computational Geosciences (2018) – journal (full-text view-only), arXiv


2. Master thesis. Brownian Motion and the Dirichlet Problem, Ludwig-Maximilians-Universität München (LMU) – pdf


1. Bachelor thesis. N.V. Krylov’s Proof of the de Moivre-Laplace Theorem, University of Applied Sciences Munich (HM) – pdf

Talks, Conferences, etc.

2. M2 Oberseminar, Active subspaces for Bayesian inversion, Application to a methane hydrate model, Garching, 02.03.2018 (post, slides)
1. FrontUQ (Frontiers of Uncertainty Quantification in Engineering), Munich, 06.09.-08.09.2017