Aila Särkkä

Professor, Mathematical Sciences

My research areas are spatial statistics and spatio-temporal modelling. A lot of my earlier research has been on Gibbs point processes, especially on pseudo-likelihood estimation and construction of new models. More recently, I have been working on spatio-temporal models, and developed edge-corrected estimation methods for spatio-temporal data. Currently, I am mainly working on 3D microscopy point pattern data with replicates, where the main challenges are heterogeneity and anisotropy. My main application areas are materials science and neurology.
​Matematisk statistik för K (TMA073) and Design of experiments (TMS031/MSA250)

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