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A Fully Non-separable Log-Gaussian Cox Process to Model Forest Fires

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Bibliographic Details
Published in:Journal of Agricultural, Biological & Environmental Statistics
Format: Online Article RSS Article
Published: 2025
Subjects:
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container_title Journal of Agricultural, Biological & Environmental Statistics
description
discipline_display Agriculture & Life Systems
discipline_facet Agriculture & Life Systems
format Online Article
RSS Article
genre Journal Article
id rss_article:44359
institution FRELIP
journal_source_facet Journal of Agricultural, Biological & Environmental Statistics
publishDate 2025
publishDateSort 2025
record_format rss_article
spellingShingle A Fully Non-separable Log-Gaussian Cox Process to Model Forest Fires
Agriculture
Agriculture & Life Systems — Agriculture
Agriculture & Life Systems
sub_discipline_display Agriculture & Life Systems — Agriculture
sub_discipline_facet Agriculture & Life Systems — Agriculture
subject_display Agriculture
Agriculture & Life Systems — Agriculture
Agriculture & Life Systems
Agriculture
Agriculture & Life Systems — Agriculture
Agriculture & Life Systems
subject_facet Agriculture
Agriculture & Life Systems — Agriculture
Agriculture & Life Systems
title A Fully Non-separable Log-Gaussian Cox Process to Model Forest Fires
title_auth A Fully Non-separable Log-Gaussian Cox Process to Model Forest Fires
title_full A Fully Non-separable Log-Gaussian Cox Process to Model Forest Fires
title_fullStr A Fully Non-separable Log-Gaussian Cox Process to Model Forest Fires
title_full_unstemmed A Fully Non-separable Log-Gaussian Cox Process to Model Forest Fires
title_short A Fully Non-separable Log-Gaussian Cox Process to Model Forest Fires
title_sort a fully non-separable log-gaussian cox process to model forest fires
topic Agriculture
Agriculture & Life Systems — Agriculture
Agriculture & Life Systems
url https://link.springer.com/article/10.1007/s13253-025-00716-3