155 citations · 189 across the 9 of their papers we have counts for
4 papers · 1 filter
A Bayesian Approach to Modelling Fine-Scale Spatial Dynamics of Non-State Terrorism: World Study, 2002-2013
André Python, Janine Illian, Charlotte Jones-Todd +1
To this day, terrorism persists as a worldwide threat, as exemplified by the ongoing lethal attacks perpetrated by ISIS in Iraq, Syria, Al Qaeda in Yemen, and Boko Haram in Nigeria…
Non-stationary Gaussian models with physical barriers
Haakon Bakka, Jarno Vanhatalo, Janine Illian +2
The classical tools in spatial statistics are stationary models, like the Matérn field. However, in some applications there are boundaries, holes, or physical barriers in the study…
Point process models for spatio-temporal distance sampling data from a large-scale survey of blue whales
Y. Yuan, F. E. Bachl, F. Lindgren +5
Distance sampling is a widely used method for estimating wildlife population abundance. The fact that conventional distance sampling methods are partly design-based constrains the…
Bayesian Computing with INLA: A Review
Håvard Rue, Andrea Riebler, Sigrunn H. Sørbye +3
The key operation in Bayesian inference, is to compute high-dimensional integrals. An old approximate technique is the Laplace method or approximation, which dates back to Pierre-…