Lukas Trottner, M.Sc.

Lukas Trottner, M.Sc.

PhD-Student
University of Mannheim
Mathematical Institute
B 6, 26 – Room B 3.09
68159 Mannheim

Research

My research interest lies at the intersection of statistics and stochastic processes. In particular, inference for Markov processes with methods from nonparametric statistics and statistical learning theory based on their theoretical stability properties is at the core of my current projects.

  • „Learning to reflect: A unifying approach for data-driven stochastic control strategies“, with S. Christensen, C. Strauch, Arxiv-link
  • „Stability of Overshoots of Markov Additive Processes“, with L. Döring, Arxiv-link
  • „Mixing it up: A general framework for Markovian statistics beyond reversibility and the minimax paradigm“, with N. Dexheimer, C. Strauch, Arxiv-link
  • „Public ICT Investment in Reaction to the Economic Crisis–A Case Study on Measuring IT-related Intangibles in the Public Sector“, with M. Saam, L. Weinhardt

Short CV

Teaching

  • HWS 2018: Einführung in die Mathematische Statistik
  • FSS 2019: Analysis II
  • HWS 2019: Introduction to statistical learning theory

Theses

1) "Lamperti transformation for self-similar Markov processes“, Master Thesis, University of Mannheim (2018)

2) "Verzweigungs­prozesse – Aussterben einer Population“, Bachelor Thesis, University of Mannheim (2015)