7 papers
Modeling Home Range and Intra-Specific Spatial Interaction in Wild Animal Populations
Fekadu L. Bayisa, Christopher L. Seals, Hannah J. Leeper +2
Interactions among individuals from the same-species of wild animals are an important component of population dynamics. An interaction can be either static (based on overlap of spa…
Spatial point process via regularisation modelling of ambulance call risk
Fekadu L. Bayisa, Markus Ådahl, Patrik Rydén +1
This study investigates the spatial distribution of emergency alarm call events to identify spatial covariates associated with the events and discern hotspot regions for the events…
Large-scale modelling and forecasting of ambulance calls in northern Sweden using spatio-temporal log-Gaussian Cox processes
Fekadu L. Bayisa, Markus Ådahl, Patrik Rydén +1
Although ambulance call data typically come in the form of spatio-temporal point patterns, point process-based modelling approaches presented in the literature are scarce. In this…
Statistical Methods in Computed Tomography Image Estimation
Fekadu L. Bayisa, Xijia Liu, Anders Garpebring +1
Purpose: There is increasing interest in computed tomography (CT) image estimations from magnetic resonance (MR) images. The estimated CT images can be utilised for attenuation cor…
Adaptive Algorithm for Sparse Signal Recovery
Fekadu L. Bayisa, Zhiyong Zhou, Ottmar Cronie +1
Spike and slab priors play a key role in inducing sparsity for sparse signal recovery. The use of such priors results in hard non-convex and mixed integer programming problems. Mos…
Comparison of hidden Markov chain models and hidden Markov random field models in estimation of computed tomography images
Kristi Kuljus, Fekadu L. Bayisa, David Bolin +2
There is an interest to replace computed tomography (CT) images with magnetic resonance (MR) images for a number of diagnostic and therapeutic workflows. In this article, predictin…