{"id":"https://openalex.org/W4360861719","doi":"https://doi.org/10.3390/e25040549","title":"Time Series of Counts under Censoring: A Bayesian Approach","display_name":"Time Series of Counts under Censoring: A Bayesian Approach","publication_year":2023,"publication_date":"2023-03-23","ids":{"openalex":"https://openalex.org/W4360861719","doi":"https://doi.org/10.3390/e25040549","pmid":"https://pubmed.ncbi.nlm.nih.gov/37190338"},"language":"en","primary_location":{"id":"doi:10.3390/e25040549","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e25040549","pdf_url":"https://www.mdpi.com/1099-4300/25/4/549/pdf?version=1679576373","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1099-4300/25/4/549/pdf?version=1679576373","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100758764","display_name":"Isabel Silva","orcid":"https://orcid.org/0000-0002-6307-3456"},"institutions":[{"id":"https://openalex.org/I182534213","display_name":"Universidade do Porto","ror":"https://ror.org/043pwc612","country_code":"PT","type":"education","lineage":["https://openalex.org/I182534213"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Isabel Silva","raw_affiliation_strings":["Faculdade de Engenharia, Universidade do Porto, CIDMA, 4200-465 Porto, Portugal"],"raw_orcid":"https://orcid.org/0000-0002-6307-3456","affiliations":[{"raw_affiliation_string":"Faculdade de Engenharia, Universidade do Porto, CIDMA, 4200-465 Porto, Portugal","institution_ids":["https://openalex.org/I182534213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062119178","display_name":"Maria Eduarda Silva","orcid":"https://orcid.org/0000-0003-2972-2050"},"institutions":[{"id":"https://openalex.org/I182534213","display_name":"Universidade do Porto","ror":"https://ror.org/043pwc612","country_code":"PT","type":"education","lineage":["https://openalex.org/I182534213"]},{"id":"https://openalex.org/I4210166615","display_name":"INESC TEC","ror":"https://ror.org/05fa8ka61","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210125590","https://openalex.org/I4210166615"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Maria Eduarda Silva","raw_affiliation_strings":["Faculdade de Economia, Universidade do Porto, LIADD-INESC TEC, 4200-464 Porto, Portugal"],"raw_orcid":"https://orcid.org/0000-0003-2972-2050","affiliations":[{"raw_affiliation_string":"Faculdade de Economia, Universidade do Porto, LIADD-INESC TEC, 4200-464 Porto, Portugal","institution_ids":["https://openalex.org/I182534213","https://openalex.org/I4210166615"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067390702","display_name":"Isabel Pereira","orcid":"https://orcid.org/0000-0002-5152-546X"},"institutions":[{"id":"https://openalex.org/I60858718","display_name":"University of Aveiro","ror":"https://ror.org/00nt41z93","country_code":"PT","type":"education","lineage":["https://openalex.org/I60858718"]}],"countries":["PT"],"is_corresponding":true,"raw_author_name":"Isabel Pereira","raw_affiliation_strings":["Departamento de Matem\u00e1tica, Universidade de Aveiro, CIDMA, 3810-193 Aveiro, Portugal"],"raw_orcid":"https://orcid.org/0000-0002-5152-546X","affiliations":[{"raw_affiliation_string":"Departamento de Matem\u00e1tica, Universidade de Aveiro, CIDMA, 3810-193 Aveiro, Portugal","institution_ids":["https://openalex.org/I60858718"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001104167","display_name":"Brendan McCabe","orcid":null},"institutions":[{"id":"https://openalex.org/I146655781","display_name":"University of Liverpool","ror":"https://ror.org/04xs57h96","country_code":"GB","type":"education","lineage":["https://openalex.org/I146655781"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Brendan McCabe","raw_affiliation_strings":["School of Management, University of Liverpool, Liverpool L69 3BX, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Management, University of Liverpool, Liverpool L69 3BX, UK","institution_ids":["https://openalex.org/I146655781"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5067390702"],"corresponding_institution_ids":["https://openalex.org/I60858718"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":0.8617,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.7297578,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":"25","issue":"4","first_page":"549","last_page":"549"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/censoring","display_name":"Censoring (clinical trials)","score":0.9096232652664185},{"id":"https://openalex.org/keywords/approximate-bayesian-computation","display_name":"Approximate Bayesian computation","score":0.7027506232261658},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6286866068840027},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.593679666519165},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5452433824539185},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.5419775247573853},{"id":"https://openalex.org/keywords/gibbs-sampling","display_name":"Gibbs sampling","score":0.537303626537323},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.5170591473579407},{"id":"https://openalex.org/keywords/statistical-inference","display_name":"Statistical inference","score":0.476365327835083},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4746739864349365},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.4693019688129425},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.46714019775390625},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4370875358581543},{"id":"https://openalex.org/keywords/frequentist-inference","display_name":"Frequentist inference","score":0.43508002161979675},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37262940406799316},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.30905914306640625},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.256677508354187}],"concepts":[{"id":"https://openalex.org/C137668524","wikidata":"https://www.wikidata.org/wiki/Q189813","display_name":"Censoring (clinical trials)","level":2,"score":0.9096232652664185},{"id":"https://openalex.org/C2779377595","wikidata":"https://www.wikidata.org/wiki/Q21045424","display_name":"Approximate Bayesian computation","level":3,"score":0.7027506232261658},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6286866068840027},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.593679666519165},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5452433824539185},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.5419775247573853},{"id":"https://openalex.org/C158424031","wikidata":"https://www.wikidata.org/wiki/Q1191905","display_name":"Gibbs sampling","level":3,"score":0.537303626537323},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.5170591473579407},{"id":"https://openalex.org/C134261354","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical inference","level":2,"score":0.476365327835083},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4746739864349365},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.4693019688129425},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.46714019775390625},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4370875358581543},{"id":"https://openalex.org/C162376815","wikidata":"https://www.wikidata.org/wiki/Q2158281","display_name":"Frequentist inference","level":4,"score":0.43508002161979675},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37262940406799316},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.30905914306640625},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.256677508354187},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":7,"locations":[{"id":"doi:10.3390/e25040549","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e25040549","pdf_url":"https://www.mdpi.com/1099-4300/25/4/549/pdf?version=1679576373","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},{"id":"pmid:37190338","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37190338","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10138058","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10138058","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10138058/pdf/entropy-25-00549.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"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":"Entropy (Basel)","raw_type":"Text"},{"id":"pmh:oai:ria.ua.pt:10773/36634","is_oa":true,"landing_page_url":"http://hdl.handle.net/10773/36634","pdf_url":"https://ria.ua.pt/bitstream/10773/36634/1/entropy-25-00549.pdf","source":{"id":"https://openalex.org/S4306402433","display_name":"Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"journal article"},{"id":"pmh:oai:doaj.org/article:be53ec675b1e481ba3fc3492354e3b80","is_oa":true,"landing_page_url":"https://doaj.org/article/be53ec675b1e481ba3fc3492354e3b80","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy, Vol 25, Iss 4, p 549 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1099-4300/25/4/549/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/e25040549","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"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":"Entropy; Volume 25; Issue 4; Pages: 549","raw_type":"Text"},{"id":"pmh:oai:repositorio-aberto.up.pt:10216/148523","is_oa":true,"landing_page_url":"https://hdl.handle.net/10216/148523","pdf_url":null,"source":{"id":"https://openalex.org/S4306402433","display_name":"Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"journal article"}],"best_oa_location":{"id":"doi:10.3390/e25040549","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e25040549","pdf_url":"https://www.mdpi.com/1099-4300/25/4/549/pdf?version=1679576373","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.6100000143051147,"id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G2590986966","display_name":"Center for Research and Development in Mathematics and Applications","funder_award_id":"UIDB/04106/2020","funder_id":"https://openalex.org/F4320334779","funder_display_name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia"},{"id":"https://openalex.org/G3069120617","display_name":null,"funder_award_id":"04106","funder_id":"https://openalex.org/F4320334779","funder_display_name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia"},{"id":"https://openalex.org/G3244141788","display_name":null,"funder_award_id":"50014","funder_id":"https://openalex.org/F4320334779","funder_display_name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia"},{"id":"https://openalex.org/G3461949579","display_name":null,"funder_award_id":"UIDB/04106/2020","funder_id":"https://openalex.org/F4320329951","funder_display_name":"Center for Research and Development in Mathematics and Applications"},{"id":"https://openalex.org/G4528900011","display_name":"INESC TEC- Institute for Systems and Computer Engineering, Technology and Science","funder_award_id":"UIDB/50014/2020","funder_id":"https://openalex.org/F4320334779","funder_display_name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia"}],"funders":[{"id":"https://openalex.org/F4320329951","display_name":"Center for Research and Development in Mathematics and Applications","ror":null},{"id":"https://openalex.org/F4320334779","display_name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia","ror":"https://ror.org/00snfqn58"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4360861719.pdf"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W1549853756","https://openalex.org/W1571483568","https://openalex.org/W1979374394","https://openalex.org/W1984288612","https://openalex.org/W1991952585","https://openalex.org/W2009136363","https://openalex.org/W2012933304","https://openalex.org/W2032051534","https://openalex.org/W2044121999","https://openalex.org/W2045737500","https://openalex.org/W2053332694","https://openalex.org/W2083875149","https://openalex.org/W2094341015","https://openalex.org/W2168282542","https://openalex.org/W2168489635","https://openalex.org/W2255141750","https://openalex.org/W2331668135","https://openalex.org/W2475156936","https://openalex.org/W2494636976","https://openalex.org/W2600377329","https://openalex.org/W2761595227","https://openalex.org/W2765328135","https://openalex.org/W2787297669","https://openalex.org/W2963723232","https://openalex.org/W4360918718","https://openalex.org/W4399547303","https://openalex.org/W6600996362","https://openalex.org/W6632854936","https://openalex.org/W6652504703","https://openalex.org/W6653329006","https://openalex.org/W6671701599"],"related_works":["https://openalex.org/W4309301408","https://openalex.org/W3103377301","https://openalex.org/W2478683457","https://openalex.org/W1489016866","https://openalex.org/W4235385816","https://openalex.org/W4239322872","https://openalex.org/W3022940228","https://openalex.org/W4251525937","https://openalex.org/W4242294605","https://openalex.org/W2067623561"],"abstract_inverted_index":{"Censored":[0],"data":[1],"are":[2,20],"frequently":[3],"found":[4],"in":[5],"diverse":[6],"fields":[7],"including":[8],"environmental":[9],"monitoring,":[10],"medicine,":[11],"economics":[12],"and":[13,38,72,83],"social":[14],"sciences.":[15],"Censoring":[16],"occurs":[17],"when":[18],"observations":[19],"available":[21],"only":[22],"for":[23],"a":[24,30],"restricted":[25],"range,":[26],"e.g.,":[27],"due":[28],"to":[29,48,50],"detection":[31],"limit.":[32],"Ignoring":[33],"censoring":[34,59],"produces":[35],"biased":[36],"estimates":[37],"unreliable":[39],"statistical":[40],"inference.":[41],"The":[42,67],"aim":[43],"of":[44,53,56],"this":[45],"work":[46],"is":[47,69],"contribute":[49],"the":[51],"modelling":[52],"time":[54],"series":[55],"counts":[57],"under":[58],"using":[60,75],"convolution":[61],"closed":[62],"infinitely":[63],"divisible":[64],"(CCID)":[65],"models.":[66],"emphasis":[68],"on":[70],"estimation":[71],"inference":[73],"problems,":[74],"Bayesian":[76,80],"approaches":[77],"with":[78,86],"Approximate":[79],"Computation":[81],"(ABC)":[82],"Gibbs":[84],"sampler":[85],"Data":[87],"Augmentation":[88],"(GDA)":[89],"algorithms.":[90]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}