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Mads Stehr

Associate Professor

Subjects
Mathematics Statistics Machine learning Data Qualitative methods

Primary research areas

Ap­plied prob­ab­il­ity the­ory
With a par­tic­u­lar in­terest in ex­treme value the­ory and spa­tial Lévy-based mod­el­ling
Nu­mer­ic­al in­teg­ra­tion based on sta­tion­ary sampling
With ap­plic­a­tions in ste­re­ology, which is a branch of stat­ist­ics that provides meth­ods for ex­tract­ing quant­it­at­ive in­form­a­tion about three-di­men­sion­al struc­tures from two-di­men­sion­al cross-sec­tions or im­ages

I use stat­ist­ic­al mod­els to ex­plain ran­dom phe­nom­ena in the world

In my research I focus on developing relevant statistical models, analyzing their probabilistic properties, and designing statistical methods based on these models. I have a special interest in the topics extreme value theory and Lévy-based modelling within applied probability theory, and in numerical integration based on stationary sampling with applications in stereology.

I hold a PhD in statistics and probability theory from Aarhus University.  

As a lecturer, I teach courses on probability theory and statistics.  I supervise bachelor’s projects and master’s theses with a strong emphasis on statistical and probabilistic theory.