معرفی
Prof. Dr. Norbert Henze is a distinguished statistician at the Institute of Stochastics, Karlsruhe Institute of Technology. His work spans theoretical and applied statistics, with a focus on goodness-of-fit testing, geometric extreme value theory, and multivariate statistical analysis.
- Research Interests:
- Statistical Goodness-of-Fit Tests
- Geometric Extreme Value Theory
- Multivariate Statistics
- Key Contributions:
- Developed novel tests for multivariate normality using Fourier methods and partial differential equations
- Analyzed limit laws for nearest neighbor distances in high-dimensional spaces
- Explored stochastic phenomena in Pólya's urn model and random point distributions
- Students & Collaborations:
- Supervised 4 PhD students and 22 diploma/master's theses
- Collaborated with international experts (B. Ebner, M.D. Jiménez-Gamero, S.G. Meintanis)
- Recent Publications:
- 2024: Spherical data testing in Statistical Papers
- 2023: Weibull distribution tests in Annals of Institute of Statistical Mathematics
- 2022: Complex symmetry tests in TEST
Notable Methodological Innovations: Unified empirical process approaches, harmonic oscillator-based normality tests, and geometric extreme value characterizations.
۰مقاله منتشرشده
