معرفی
Jesper Møller is a Professor in the Department of Mathematical Sciences at Aalborg University's Faculty of Engineering and Science, specializing in Statistics and Mathematical Economics. His research spans advanced stochastic modeling and spatial statistics.
- Key affiliations: Danish National Research Foundation (MaPhySto), Independent Research Fund Denmark, Centre for Stochastic Geometry and advanced Bioimaging
Research Interests
His work focuses on spatial point processes, including Cox processes, determinantal point processes, and Matern hard-core models. He develops computational methods like MCMC, Bayesian inference, and likelihood-based techniques for spatio-temporal data, with applications in forest fire modeling, bioimaging, and mobile service scenarios.
Scientific Contributions
Projects include:
- Generalized shot noise Cox processes
- Statistical inference for log Gaussian Cox processes
- Transforming point processes into Poisson processes
- Stochastic geometry for germ-grain models
Collaborations
He has collaborated with researchers across Denmark, Norway, Australia, Canada, and the USA, working on topics ranging from Hawkes processes to Voronoi tessellations.
