Julia Jansson

Doctoral Student at Applied Mathematics and Statistics

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.

Source: chalmers.se
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Showing 2 publications

2024

Discussion of the Paper “Marked Spatial Point Processes: Current State and Extensions to Point Processes on Linear Networks”

Ottmar Cronie, Julia Jansson, Konstantinos Konstantinou
Journal of Agricultural, Biological, and Environmental Statistics. Vol. 29
Journal article
2023

Level-p-complexity of Boolean functions using thinning, memoization, and polynomials

Julia Jansson, Patrik Jansson
Journal of Functional Programming. Vol. 33
Journal article

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