6 citations · 11 across the 4 of their papers we have counts for
4 papers
inlabru: software for fitting latent Gaussian models with non-linear predictors
Finn Lindgren, Fabian Bachl, Janine Illian +3
The integrated nested Laplace approximation (INLA) method has become a popular approach for computationally efficient approximate Bayesian computation. In particular, by leveraging…
Estimating seal pup production in the Greenland Sea using Bayesian hierarchical modeling
Martin Jullum, Thordis Thorarinsdottir, Fabian E. Bachl
The Greenland Sea is an important breeding ground for harp and hooded seals. Estimates of the annual seal pup production are critical factors in the abundance estimation needed for…
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 Motion Estimation for Dust Aerosols
Fabian E. Bachl, Alex Lenkoski, Thordis L. Thorarinsdottir +1
Dust storms in the earth's major desert regions significantly influence microphysical weather processes, the CO-cycle and the global climate in general. Recent increases in the…