Numerical Approximations of Log Gaussian Cox Process (Student Abstract)

Francois Buet-Golfouse, Hans Roggeman

[AAAI-22] Student Abstract and Poster Program

Keywords
Poster Session 6 @ Blue 1, Poster Session 12 @ Blue 1, Poster Session 6, Poster Session 12

Download Paper
Enter the Virtual Venue
Abstract: This paper considers a multi-state Log Gaussian Cox Process (`"LGCP'') on a graph, where transmissions amongst states are calibrated using a non-parametric approach. We thus consider multi-output LGCPs and introduce numerical approximations to compute posterior distributions extremely quickly and in a completely transparent and reproducible fashion. The model is tested on historical data and shows very good performance.

Sessions where this paper appears

  • Poster Session 6

    Blue 1

  • Poster Session 12

    Blue 1