space-time model
Summary. Data from egg sampling surveys often contain a large proportion of zeros. We examine the time and location of collected walleye pollock egg counts from the western Gulf of Alaska, from Kodiak Island to Unimah Pass, in the years ������ �-������ �. We take the excessive number of zeros in the...
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ftciteseerx:oai:CiteSeerX.psu:10.1.1.80.6037 2023-05-15T17:04:40+02:00 space-time model Ingunn Fride Tvete The Pennsylvania State University CiteSeerX Archives application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.80.6037 http://www.math.uio.no/eprint/stat_report/2006/04-06.pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.80.6037 http://www.math.uio.no/eprint/stat_report/2006/04-06.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://www.math.uio.no/eprint/stat_report/2006/04-06.pdf Dynamical systems walleye pollock egg counts MCMC zero-inflated space-time modelling Bayesian hierarchical modelling text ftciteseerx 2016-01-08T19:19:57Z Summary. Data from egg sampling surveys often contain a large proportion of zeros. We examine the time and location of collected walleye pollock egg counts from the western Gulf of Alaska, from Kodiak Island to Unimah Pass, in the years ������ �-������ �. We take the excessive number of zeros in the data into account by taking a two stage modelling approach, resulting in a zero-inflated hierarchical space-time model. The binary (presence/absence of zeros) process is directly linked to the underlying intensity process. Hence, the latter process influences both the presence of zeros and the amount of eggs in non-zero observations. We fit our model for each year, and compare the underlying intensities over the years within regions of the sampled area. Text Kodiak Alaska Unknown Gulf of Alaska |
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Open Polar |
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Unknown |
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ftciteseerx |
language |
English |
topic |
Dynamical systems walleye pollock egg counts MCMC zero-inflated space-time modelling Bayesian hierarchical modelling |
spellingShingle |
Dynamical systems walleye pollock egg counts MCMC zero-inflated space-time modelling Bayesian hierarchical modelling Ingunn Fride Tvete space-time model |
topic_facet |
Dynamical systems walleye pollock egg counts MCMC zero-inflated space-time modelling Bayesian hierarchical modelling |
description |
Summary. Data from egg sampling surveys often contain a large proportion of zeros. We examine the time and location of collected walleye pollock egg counts from the western Gulf of Alaska, from Kodiak Island to Unimah Pass, in the years ������ �-������ �. We take the excessive number of zeros in the data into account by taking a two stage modelling approach, resulting in a zero-inflated hierarchical space-time model. The binary (presence/absence of zeros) process is directly linked to the underlying intensity process. Hence, the latter process influences both the presence of zeros and the amount of eggs in non-zero observations. We fit our model for each year, and compare the underlying intensities over the years within regions of the sampled area. |
author2 |
The Pennsylvania State University CiteSeerX Archives |
format |
Text |
author |
Ingunn Fride Tvete |
author_facet |
Ingunn Fride Tvete |
author_sort |
Ingunn Fride Tvete |
title |
space-time model |
title_short |
space-time model |
title_full |
space-time model |
title_fullStr |
space-time model |
title_full_unstemmed |
space-time model |
title_sort |
space-time model |
url |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.80.6037 http://www.math.uio.no/eprint/stat_report/2006/04-06.pdf |
geographic |
Gulf of Alaska |
geographic_facet |
Gulf of Alaska |
genre |
Kodiak Alaska |
genre_facet |
Kodiak Alaska |
op_source |
http://www.math.uio.no/eprint/stat_report/2006/04-06.pdf |
op_relation |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.80.6037 http://www.math.uio.no/eprint/stat_report/2006/04-06.pdf |
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Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
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1766058977344356352 |