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Aila Särkkä is a Professor at the University of Gothenburg specializing in spatial statistics and spatio-temporal modeling. Her research focuses on Gibbs point processes, particularly pseudo-likelihood estimation of parameters and the construction of new models. Särkkä is prominent in developing edge-corrected estimation methods for spatio-temporal data, applying linear mixed models to understand the effects of non-spatial covariates on the second-order structure of point processes. Her work finds significant applications in forestry, materials science, and neurology, enhancing understanding of complex phenomena through rigorous statistical approaches.
University of Gothenburg • Gothenburg, Sweden
Leading research in spatial statistics and developing innovative statistical methodologies.
Administered by the Department of Political Science; focus on International Administration and Global Governance (IAGG).