155 citations · 189 across the 9 of their papers we have counts for
3 papers · 1 filter
Careful prior specification avoids incautious inference for log-Gaussian Cox point processes
Sigrunn H. Sørbye, Janine B. Illian, Daniel P. Simpson +1
Prior specifications for hyperparameters of random fields in Bayesian spatial point process modelling can have a major impact on the statistical inference and the conclusions made.…
Level set Cox processes
Anders Hildeman, David Bolin, Jonas Wallin +1
The log-Gaussian Cox process (LGCP) is a popular point process for modeling non-interacting spatial point patterns. This paper extends the LGCP model to handle data exhibiting fund…
Unusual structures inherent in point pattern data predict colon cancer patient survival
Charlotte M. Jones-Todd, Peter Caie, Janine Illian +4
Cancer patient diagnosis and prognosis is informed by assessment of morphological properties observed in patient tissue. Pathologists normally carry out this assessment, yet advanc…