Large-scale modelling and forecasting of ambulance calls in northern Sweden using spatio-temporal log-Gaussian Cox processes
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Online Access: | https://doi.org/10.1016/j.spasta.2020.100471 https://research.chalmers.se/en/publication/535021 |
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ftchalmersuniv:oai:research.chalmers.se:535021 2023-11-12T04:23:21+01:00 Large-scale modelling and forecasting of ambulance calls in northern Sweden using spatio-temporal log-Gaussian Cox processes Bayisa, Fekadu L. Ådahl, Markus Rydén, Partik Cronie, Ottmar 2020 text https://doi.org/10.1016/j.spasta.2020.100471 https://research.chalmers.se/en/publication/535021 unknown http://dx.doi.org/10.1016/j.spasta.2020.100471 https://research.chalmers.se/en/publication/535021 Health Care Service and Management Health Policy and Services and Health Economy Probability Theory and Statistics 2020 ftchalmersuniv https://doi.org/10.1016/j.spasta.2020.100471 2023-10-25T22:36:41Z Other/Unknown Material Northern Sweden Chalmers University of Technology: Chalmers research Spatial Statistics 39 100471 |
institution |
Open Polar |
collection |
Chalmers University of Technology: Chalmers research |
op_collection_id |
ftchalmersuniv |
language |
unknown |
topic |
Health Care Service and Management Health Policy and Services and Health Economy Probability Theory and Statistics |
spellingShingle |
Health Care Service and Management Health Policy and Services and Health Economy Probability Theory and Statistics Bayisa, Fekadu L. Ådahl, Markus Rydén, Partik Cronie, Ottmar Large-scale modelling and forecasting of ambulance calls in northern Sweden using spatio-temporal log-Gaussian Cox processes |
topic_facet |
Health Care Service and Management Health Policy and Services and Health Economy Probability Theory and Statistics |
author |
Bayisa, Fekadu L. Ådahl, Markus Rydén, Partik Cronie, Ottmar |
author_facet |
Bayisa, Fekadu L. Ådahl, Markus Rydén, Partik Cronie, Ottmar |
author_sort |
Bayisa, Fekadu L. |
title |
Large-scale modelling and forecasting of ambulance calls in northern Sweden using spatio-temporal log-Gaussian Cox processes |
title_short |
Large-scale modelling and forecasting of ambulance calls in northern Sweden using spatio-temporal log-Gaussian Cox processes |
title_full |
Large-scale modelling and forecasting of ambulance calls in northern Sweden using spatio-temporal log-Gaussian Cox processes |
title_fullStr |
Large-scale modelling and forecasting of ambulance calls in northern Sweden using spatio-temporal log-Gaussian Cox processes |
title_full_unstemmed |
Large-scale modelling and forecasting of ambulance calls in northern Sweden using spatio-temporal log-Gaussian Cox processes |
title_sort |
large-scale modelling and forecasting of ambulance calls in northern sweden using spatio-temporal log-gaussian cox processes |
publishDate |
2020 |
url |
https://doi.org/10.1016/j.spasta.2020.100471 https://research.chalmers.se/en/publication/535021 |
genre |
Northern Sweden |
genre_facet |
Northern Sweden |
op_relation |
http://dx.doi.org/10.1016/j.spasta.2020.100471 https://research.chalmers.se/en/publication/535021 |
op_doi |
https://doi.org/10.1016/j.spasta.2020.100471 |
container_title |
Spatial Statistics |
container_volume |
39 |
container_start_page |
100471 |
_version_ |
1782338152162131968 |