Anders Hildeman
Anders Hildeman's PhD was in spatial statistics with focus on spatial mixture models and stochastic partial differential equations. He is interested in probabilistic modelling, classification, prediction, and parameter estimation of spatial data.
Anders is working with weather- and sea state data for the purpose of improving decision making in marine operations. Typically, the sea state will affect ships traveling on the ocean. Decisions on which route to undertake and how to operate the ship will in turn affect the perceived pleasure of passengers, risks of capsizing, and accumulated fatigue damage of the hull. It is therefore of importance to base those decisions on available data and sound analysis and understanding of the uncertainty.

Showing 7 publications
Deformed SPDE models with an application to spatial modeling of significant wave height
Diffusion tensor imaging in multiple sclerosis at different final outcomes
Spatial Mixture Models with Applications in Medical Imaging and Spatial Point Processes
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Showing 1 research projects
E-Nav - Efficient Electronic Navigation at Sea