René L. Schilling

René L. Schilling is affiliated with TU Dresden in Germany and has a robust research profile primarily rooted in mathematics and finance. Their scholarly output spans several interconnected fields including mathematics, economics, econometrics, and finance, with a notable concentration on stochastic processes and financial applications.

Their recent papers illustrate engagement with advanced topics across probability theory, stochastic processes, and non-local operators. Selected publications include:

• Construction and heat kernel estimates of general stable-like Markov processes, 2021, Dissertationes Mathematicae
• Approximation of the invariant measure of stable SDEs by an Euler-Maruyama scheme, 2023, Stochastic Processes and their Applications
• Maximal inequalities and some applications, 2023, Probability Surveys
• On the Liouville and strong Liouville properties for a class of non-local operators, 2022, MATHEMATICA SCANDINAVICA
• Asymptotic behaviour and functional limit theorems for a time changed Wiener process, 2020, Statistics & Probability Letters

René L. Schilling frequently collaborates with several researchers including Franziska Kühn, David Berger, Chang-Song Deng, Lihu Xu, and Yuliya Mishura. These collaborations point to active participation in research networks focusing on related mathematical and probabilistic disciplines.

The scholar's work has been published extensively in venues such as arXiv (Cornell University), The Mathematical Gazette, Stochastic Processes and their Applications, Dissertationes Mathematicae, and Probability Surveys. The distribution of publication venues highlights a commitment to disseminating research through both open-access platforms and peer-reviewed journals.

One notable book publication is "Counterexamples in Measure and Integration," published by Cambridge University Press in 2021. This contribution adds a dimension of academic authorship beyond journal articles, reflecting engagement with foundational mathematical concepts.

René L. Schilling's main fields of study focus on:

• Mathematics
• Economics, Econometrics and Finance

More specialized subfields include:

• Finance
• Mathematical Physics
• Applied Mathematics
• Management Science and Operations Research
• Economics and Econometrics

Core research topics encompass:

• Stochastic processes and financial applications
• Financial Risk and Volatility Modeling
• Stochastic processes and statistical mechanics
• Probability and Risk Models
• Advanced mathematical theories
• Advanced Mathematical Modeling in Engineering
• Advanced Harmonic Analysis Research

No awards are listed for René L. Schilling to date. Overall, their academic output illustrates a focus on mathematical theories with applications in finance and probability, involving both theoretical investigations and applied modeling frameworks.