معرفی
Dr. Marilena Müller is a researcher in the Department of Mathematics at Heidelberg University, specializing in advanced statistical theory and methodology. Her work centers on nonparametric and asymptotic statistics, with applications to survival analysis, point processes, and empirical processes.
Research Interests:
- Survival Analysis / Point Processes
- Nonparametric Statistics
- Asymptotic Statistics
- Linear Mixed Models
- Empirical Processes
Her recent research, published in Bernoulli (2023), focuses on nonparametric estimation of locally stationary Hawkes processes, reflecting her expertise in modeling complex temporal event data using rigorous statistical frameworks. This work contributes to the broader fields of stochastic processes and statistical learning for dependent data.
Scientific Awards:
- No awards listed.
Dr. Müller has not advised any named students in the provided information, and there is no mention of grants or funding. She is actively contributing to theoretical statistics and is likely involved in collaborative research within the mathematics and statistics community at Heidelberg University.
