Julia Jansson
My PhD project is in spatial statistics supervised by Ottmar Cronie and Aila Särkkä. Spatial statistics is the study of point patterns using point processes. Examples of spatial data could be positions of trees in a forest, stars in a galaxy, earthquakes, ambulance calls or COVID-19 data. My research is about bridging the gap between machine learning and spatial statistics by developing so called point process learning.
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Level-p-complexity of Boolean functions using thinning, memoization, and polynomials
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