{"id":"https://openalex.org/W3032356321","doi":"https://doi.org/10.1007/s11222-022-10085-3","title":"GP-ETAS: semiparametric Bayesian inference for the spatio-temporal epidemic type aftershock sequence model","display_name":"GP-ETAS: semiparametric Bayesian inference for the spatio-temporal epidemic type aftershock sequence model","publication_year":2022,"publication_date":"2022-03-08","ids":{"openalex":"https://openalex.org/W3032356321","doi":"https://doi.org/10.1007/s11222-022-10085-3","mag":"3032356321"},"language":"en","primary_location":{"id":"doi:10.1007/s11222-022-10085-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11222-022-10085-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11222-022-10085-3.pdf","source":{"id":"https://openalex.org/S5437875","display_name":"Statistics and Computing","issn_l":"0960-3174","issn":["0960-3174","1573-1375"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Statistics and Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11222-022-10085-3.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024423676","display_name":"Christian Molkenthin","orcid":null},"institutions":[{"id":"https://openalex.org/I176453806","display_name":"University of Potsdam","ror":"https://ror.org/03bnmw459","country_code":"DE","type":"education","lineage":["https://openalex.org/I176453806"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Christian Molkenthin","raw_affiliation_strings":["Institute of Mathematics, University of Potsdam, 14476, Potsdam, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Mathematics, University of Potsdam, 14476, Potsdam, Germany","institution_ids":["https://openalex.org/I176453806"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017068027","display_name":"Christian Donner","orcid":"https://orcid.org/0000-0002-4499-2895"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]},{"id":"https://openalex.org/I4210122261","display_name":"Swiss Data Science Center","ror":"https://ror.org/02hdt9m26","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I2799323385","https://openalex.org/I35440088","https://openalex.org/I4210122261","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Christian Donner","raw_affiliation_strings":["Swiss Data Science Center, ETH Z\u00fcrich, 8006, Zurich, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Swiss Data Science Center, ETH Z\u00fcrich, 8006, Zurich, Switzerland","institution_ids":["https://openalex.org/I4210122261","https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020753959","display_name":"Sebastian Reich","orcid":"https://orcid.org/0000-0002-5336-8904"},"institutions":[{"id":"https://openalex.org/I176453806","display_name":"University of Potsdam","ror":"https://ror.org/03bnmw459","country_code":"DE","type":"education","lineage":["https://openalex.org/I176453806"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sebastian Reich","raw_affiliation_strings":["Institute of Mathematics, University of Potsdam, 14476, Potsdam, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Mathematics, University of Potsdam, 14476, Potsdam, Germany","institution_ids":["https://openalex.org/I176453806"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009364027","display_name":"Gert Z\u00f6ller","orcid":"https://orcid.org/0000-0002-2384-2724"},"institutions":[{"id":"https://openalex.org/I176453806","display_name":"University of Potsdam","ror":"https://ror.org/03bnmw459","country_code":"DE","type":"education","lineage":["https://openalex.org/I176453806"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Gert Z\u00f6ller","raw_affiliation_strings":["Institute of Mathematics, University of Potsdam, 14476, Potsdam, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Mathematics, University of Potsdam, 14476, Potsdam, Germany","institution_ids":["https://openalex.org/I176453806"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068400662","display_name":"Sebastian Hainzl","orcid":"https://orcid.org/0000-0002-2875-0933"},"institutions":[{"id":"https://openalex.org/I4210152878","display_name":"GFZ Helmholtz Centre for Geosciences","ror":"https://ror.org/04z8jg394","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I4210152878"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sebastian Hainzl","raw_affiliation_strings":["GFZ German Research Centre for Geosciences, 14467, Potsdam, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GFZ German Research Centre for Geosciences, 14467, Potsdam, Germany","institution_ids":["https://openalex.org/I4210152878"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039622697","display_name":"M. Holschneider","orcid":"https://orcid.org/0000-0003-3987-105X"},"institutions":[{"id":"https://openalex.org/I176453806","display_name":"University of Potsdam","ror":"https://ror.org/03bnmw459","country_code":"DE","type":"education","lineage":["https://openalex.org/I176453806"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Matthias Holschneider","raw_affiliation_strings":["Institute of Mathematics, University of Potsdam, 14476, Potsdam, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Mathematics, University of Potsdam, 14476, Potsdam, Germany","institution_ids":["https://openalex.org/I176453806"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006626558","display_name":"Manfred Opper","orcid":"https://orcid.org/0000-0003-2856-7589"},"institutions":[{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Manfred Opper","raw_affiliation_strings":["Artificial Intelligence Group, TU Berlin, 10587, Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Artificial Intelligence Group, TU Berlin, 10587, Berlin, Germany","institution_ids":["https://openalex.org/I4577782"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5017068027","https://openalex.org/A5024423676"],"corresponding_institution_ids":["https://openalex.org/I176453806","https://openalex.org/I35440088","https://openalex.org/I4210122261"],"apc_list":{"value":2090,"currency":"EUR","value_usd":2690},"apc_paid":{"value":2090,"currency":"EUR","value_usd":2690},"fwci":4.1618,"has_fulltext":true,"cited_by_count":29,"citation_normalized_percentile":{"value":0.9490327,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"32","issue":"2","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10110","display_name":"earthquake and tectonic studies","score":0.984499990940094,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10110","display_name":"earthquake and tectonic studies","score":0.984499990940094,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.975600004196167,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6156340837478638},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.6052725911140442},{"id":"https://openalex.org/keywords/gibbs-sampling","display_name":"Gibbs sampling","score":0.5501865744590759},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5121564865112305},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.48049700260162354},{"id":"https://openalex.org/keywords/point-process","display_name":"Point process","score":0.46760478615760803},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.4453587532043457},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.43581756949424744},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.4259953498840332},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3860263228416443},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3820497989654541},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31144219636917114},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.3004147708415985},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2943035066127777}],"concepts":[{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6156340837478638},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.6052725911140442},{"id":"https://openalex.org/C158424031","wikidata":"https://www.wikidata.org/wiki/Q1191905","display_name":"Gibbs sampling","level":3,"score":0.5501865744590759},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5121564865112305},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.48049700260162354},{"id":"https://openalex.org/C88871306","wikidata":"https://www.wikidata.org/wiki/Q7208287","display_name":"Point process","level":2,"score":0.46760478615760803},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.4453587532043457},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.43581756949424744},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.4259953498840332},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3860263228416443},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3820497989654541},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31144219636917114},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.3004147708415985},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2943035066127777},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1007/s11222-022-10085-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11222-022-10085-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11222-022-10085-3.pdf","source":{"id":"https://openalex.org/S5437875","display_name":"Statistics and Computing","issn_l":"0960-3174","issn":["0960-3174","1573-1375"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Statistics and Computing","raw_type":"journal-article"},{"id":"pmh:oai:gfzpublic.gfz-potsdam.de:item_5011428","is_oa":true,"landing_page_url":"https://gfzpublic.gfz-potsdam.de/pubman/item/item_5011428","pdf_url":null,"source":{"id":"https://openalex.org/S4306401313","display_name":"Publication Database GFZ (GFZ German Research Centre for Geosciences)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210152878","host_organization_name":"GFZ Helmholtz Centre for Geosciences","host_organization_lineage":["https://openalex.org/I4210152878"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Statistics and Computing","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:gfzpublic.gfz.de:item_5011428","is_oa":true,"landing_page_url":"https://gfzpublic.gfz.de/pubman/item/item_5011428","pdf_url":null,"source":{"id":"https://openalex.org/S4306401313","display_name":"Publication Database GFZ (GFZ German Research Centre for Geosciences)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210152878","host_organization_name":"GFZ Helmholtz Centre for Geosciences","host_organization_lineage":["https://openalex.org/I4210152878"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Statistics and Computing","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:kobv.de-opus4-uni-potsdam:63637","is_oa":true,"landing_page_url":"https://publishup.uni-potsdam.de/frontdoor/index/index/docId/63637","pdf_url":null,"source":{"id":"https://openalex.org/S4377196346","display_name":"publish.UP (University of Potsdam)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I176453806","host_organization_name":"University of Potsdam","host_organization_lineage":["https://openalex.org/I176453806"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},{"id":"pmh:oai:www.research-collection.ethz.ch:20.500.11850/538299","is_oa":true,"landing_page_url":"http://hdl.handle.net/20.500.11850/538299","pdf_url":null,"source":{"id":"https://openalex.org/S4306402302","display_name":"Repository for Publications and Research Data (ETH Zurich)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I35440088","host_organization_name":"ETH Zurich","host_organization_lineage":["https://openalex.org/I35440088"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Statistics and Computing, 32 (2)","raw_type":"info:eu-repo/semantics/article"},{"id":"doi:10.3929/ethz-b-000538299","is_oa":true,"landing_page_url":"https://doi.org/10.3929/ethz-b-000538299","pdf_url":null,"source":{"id":"https://openalex.org/S7407051236","display_name":"ETH Z\u00fcrich Research Collection","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"doi:10.1007/s11222-022-10085-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11222-022-10085-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11222-022-10085-3.pdf","source":{"id":"https://openalex.org/S5437875","display_name":"Statistics and Computing","issn_l":"0960-3174","issn":["0960-3174","1573-1375"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Statistics and Computing","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.8299999833106995,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[{"id":"https://openalex.org/G2601165318","display_name":null,"funder_award_id":"SFB 1294","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G3743506889","display_name":null,"funder_award_id":"SFB 1294/1 - 318763901","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G4092581361","display_name":"SFB 1294: Datenassimilation \u2013 Die nahtlose Verschmelzung von Daten und Modellen","funder_award_id":"318763901","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"}],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3032356321.pdf","grobid_xml":"https://content.openalex.org/works/W3032356321.grobid-xml"},"referenced_works_count":69,"referenced_works":["https://openalex.org/W137285897","https://openalex.org/W153715311","https://openalex.org/W1510966913","https://openalex.org/W1522985695","https://openalex.org/W1533758202","https://openalex.org/W1544760581","https://openalex.org/W1546652107","https://openalex.org/W1594866779","https://openalex.org/W1746819321","https://openalex.org/W1971482739","https://openalex.org/W1972754097","https://openalex.org/W1995834672","https://openalex.org/W2007839873","https://openalex.org/W2007986303","https://openalex.org/W2020999234","https://openalex.org/W2026701305","https://openalex.org/W2028944227","https://openalex.org/W2049633694","https://openalex.org/W2053501819","https://openalex.org/W2058019856","https://openalex.org/W2064758233","https://openalex.org/W2069849731","https://openalex.org/W2071778976","https://openalex.org/W2076072287","https://openalex.org/W2078711966","https://openalex.org/W2085512286","https://openalex.org/W2089337487","https://openalex.org/W2099878672","https://openalex.org/W2100176677","https://openalex.org/W2101096071","https://openalex.org/W2101645017","https://openalex.org/W2117796995","https://openalex.org/W2123906784","https://openalex.org/W2129905273","https://openalex.org/W2136415973","https://openalex.org/W2138309709","https://openalex.org/W2138870733","https://openalex.org/W2147769040","https://openalex.org/W2154047075","https://openalex.org/W2268093251","https://openalex.org/W2315200571","https://openalex.org/W2328566622","https://openalex.org/W2328875713","https://openalex.org/W2527091029","https://openalex.org/W2589632792","https://openalex.org/W2603015329","https://openalex.org/W2611196885","https://openalex.org/W2788063172","https://openalex.org/W2887480292","https://openalex.org/W2949377321","https://openalex.org/W2963173382","https://openalex.org/W2964255676","https://openalex.org/W2965996094","https://openalex.org/W2982676138","https://openalex.org/W2991064195","https://openalex.org/W2997337403","https://openalex.org/W3004738831","https://openalex.org/W3005085468","https://openalex.org/W3042776612","https://openalex.org/W3098842820","https://openalex.org/W3102467435","https://openalex.org/W3122471732","https://openalex.org/W3125290923","https://openalex.org/W3158386662","https://openalex.org/W3162220961","https://openalex.org/W4211049957","https://openalex.org/W4248721357","https://openalex.org/W4252177024","https://openalex.org/W6606320071"],"related_works":["https://openalex.org/W2517377710","https://openalex.org/W2088304067","https://openalex.org/W2170952786","https://openalex.org/W1517763961","https://openalex.org/W2133543800","https://openalex.org/W1992295166","https://openalex.org/W3122927555","https://openalex.org/W2494929626","https://openalex.org/W27102384","https://openalex.org/W2143508933"],"abstract_inverted_index":{"Abstract":[0],"The":[1],"spatio-temporal":[2],"epidemic":[3],"type":[4],"aftershock":[5],"sequence":[6],"(ETAS)":[7],"model":[8,30,40,86,119],"is":[9,185],"widely":[10],"used":[11],"to":[12,44,115],"describe":[13],"the":[14,29,52,64,89,105,117,127,132,135,154,165,173,178],"self-exciting":[15],"nature":[16],"of":[17,28,39,51,104,134],"earthquake":[18,124,159],"occurrences.":[19],"While":[20],"traditional":[21],"inference":[22,107],"methods":[23],"provide":[24],"only":[25],"point":[26],"estimates":[27],"parameters,":[31],"we":[32,56],"aim":[33],"at":[34],"a":[35,58,71,84,169],"fully":[36],"Bayesian":[37],"treatment":[38],"inference,":[41],"allowing":[42],"naturally":[43],"incorporate":[45],"prior":[46],"knowledge":[47],"and":[48,95,131,151],"uncertainty":[49,162],"quantification":[50,163],"resulting":[53],"estimates.":[54],"Therefore,":[55],"introduce":[57],"highly":[59],"flexible,":[60],"non-parametric":[61],"representation":[62],"for":[63,157,164,172],"spatially":[65],"varying":[66],"ETAS":[67],"background":[68,129],"intensity":[69,130],"through":[70],"Gaussian":[72],"process":[73],"(GP)":[74],"prior.":[75],"Combined":[76],"with":[77,177],"classical":[78],"triggering":[79,136],"functions":[80],"this":[81],"results":[82,139],"in":[83],"new":[85],"formulation,":[87],"namely":[88],"GP-ETAS":[90,106,147],"model.":[91],"We":[92],"enable":[93],"tractable":[94],"efficient":[96],"Gibbs":[97],"sampling":[98,111],"by":[99],"deriving":[100],"an":[101],"augmented":[102],"form":[103],"problem.":[108],"This":[109],"novel":[110],"approach":[112],"allows":[113],"us":[114],"assess":[116],"posterior":[118],"variables":[120],"conditioned":[121],"on":[122,140,181],"observed":[123,158],"catalogues,":[125],"i.e.,":[126],"spatial":[128],"parameters":[133],"function.":[137],"Empirical":[138],"two":[141],"synthetic":[142],"data":[143],"sets":[144],"indicate":[145],"that":[146],"outperforms":[148],"standard":[149],"models":[150],"thus":[152],"demonstrate":[153],"predictive":[155],"power":[156],"catalogues":[160],"including":[161],"estimated":[166],"parameters.":[167],"Finally,":[168],"case":[170],"study":[171],"l\u2019Aquila":[174],"region,":[175],"Italy,":[176],"devastating":[179],"event":[180],"6":[182],"April":[183],"2009,":[184],"presented.":[186]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}