{"id":"https://openalex.org/W2106953403","doi":"https://doi.org/10.1142/s0219525905000506","title":"BAYESIAN IDENTIFICATION OF MULTIPLE CHANGE POINTS IN POISSON DATA","display_name":"BAYESIAN IDENTIFICATION OF MULTIPLE CHANGE POINTS IN POISSON DATA","publication_year":2005,"publication_date":"2005-12-01","ids":{"openalex":"https://openalex.org/W2106953403","doi":"https://doi.org/10.1142/s0219525905000506","mag":"2106953403"},"language":"en","primary_location":{"id":"doi:10.1142/s0219525905000506","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219525905000506","pdf_url":null,"source":{"id":"https://openalex.org/S107361000","display_name":"Advances in Complex Systems","issn_l":"0219-5259","issn":["0219-5259","1793-6802","1793-9615","1793-9623"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Complex Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5055193690","display_name":"Ros\u00e2ngela H. Loschi","orcid":"https://orcid.org/0000-0001-6554-9799"},"institutions":[{"id":"https://openalex.org/I110200422","display_name":"Universidade Federal de Minas Gerais","ror":"https://ror.org/0176yjw32","country_code":"BR","type":"education","lineage":["https://openalex.org/I110200422"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"R. H. LOSCHI","raw_affiliation_strings":["Statistics Department, Federal University of Minas Gerais, 31270-901 \u2014 Belo Horizonte \u2014 MG, Brazil"],"affiliations":[{"raw_affiliation_string":"Statistics Department, Federal University of Minas Gerais, 31270-901 \u2014 Belo Horizonte \u2014 MG, Brazil","institution_ids":["https://openalex.org/I110200422"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055216168","display_name":"F.R.B. Cruz","orcid":"https://orcid.org/0000-0001-5842-5544"},"institutions":[{"id":"https://openalex.org/I110200422","display_name":"Universidade Federal de Minas Gerais","ror":"https://ror.org/0176yjw32","country_code":"BR","type":"education","lineage":["https://openalex.org/I110200422"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"F. R. B. CRUZ","raw_affiliation_strings":["Statistics Department, Federal University of Minas Gerais, 31270-901 \u2014 Belo Horizonte \u2014 MG, Brazil"],"affiliations":[{"raw_affiliation_string":"Statistics Department, Federal University of Minas Gerais, 31270-901 \u2014 Belo Horizonte \u2014 MG, Brazil","institution_ids":["https://openalex.org/I110200422"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5055193690"],"corresponding_institution_ids":["https://openalex.org/I110200422"],"apc_list":null,"apc_paid":null,"fwci":0.4571,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.7534517,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"08","issue":"04","first_page":"465","last_page":"482"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9937999844551086,"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"}},"topics":[{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9937999844551086,"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"}},{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9860000014305115,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9602000117301941,"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/poisson-distribution","display_name":"Poisson distribution","score":0.7530091404914856},{"id":"https://openalex.org/keywords/gibbs-sampling","display_name":"Gibbs sampling","score":0.6810447573661804},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5939067006111145},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5779720544815063},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5324386358261108},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5014991760253906},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.49910926818847656},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.4662657380104065},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.46491819620132446},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.44531798362731934},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.41669583320617676},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30768662691116333},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24495923519134521},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.23427113890647888}],"concepts":[{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.7530091404914856},{"id":"https://openalex.org/C158424031","wikidata":"https://www.wikidata.org/wiki/Q1191905","display_name":"Gibbs sampling","level":3,"score":0.6810447573661804},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5939067006111145},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5779720544815063},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5324386358261108},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5014991760253906},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.49910926818847656},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.4662657380104065},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46491819620132446},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44531798362731934},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.41669583320617676},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30768662691116333},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24495923519134521},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.23427113890647888},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1142/s0219525905000506","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219525905000506","pdf_url":null,"source":{"id":"https://openalex.org/S107361000","display_name":"Advances in Complex Systems","issn_l":"0219-5259","issn":["0219-5259","1793-6802","1793-9615","1793-9623"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Complex Systems","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:wsi:acsxxx:v:08:y:2005:i:04:n:s0219525905000506","is_oa":false,"landing_page_url":"http://www.worldscientific.com/doi/abs/10.1142/S0219525905000506","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},{"id":"pmh:oai:RePEc:wsi:acsxxx:v:08:y:2005:i:04:p:465-482","is_oa":false,"landing_page_url":"http://www.worldscinet.com/cgi-bin/details.cgi?type=html&amp;id=pii:S0219525905000506","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.47999998927116394,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1966042408","https://openalex.org/W1973031849","https://openalex.org/W1975493578","https://openalex.org/W1988684120","https://openalex.org/W1994550451","https://openalex.org/W1996562468","https://openalex.org/W2004255044","https://openalex.org/W2020999234","https://openalex.org/W2030399903","https://openalex.org/W2036835505","https://openalex.org/W2049882758","https://openalex.org/W2060924918","https://openalex.org/W2083875149","https://openalex.org/W2087618469","https://openalex.org/W2091442045","https://openalex.org/W2106453800","https://openalex.org/W2118111913","https://openalex.org/W2162370783","https://openalex.org/W2171304305","https://openalex.org/W2343964333","https://openalex.org/W3023287005","https://openalex.org/W4252722076"],"related_works":["https://openalex.org/W3146360815","https://openalex.org/W2568858292","https://openalex.org/W1515964938","https://openalex.org/W2389381914","https://openalex.org/W1570787356","https://openalex.org/W3181296946","https://openalex.org/W2376528221","https://openalex.org/W2148298232","https://openalex.org/W840335986","https://openalex.org/W1501929113"],"abstract_inverted_index":{"The":[0,75,88],"identification":[1,42],"of":[2,83],"multiple":[3,39],"change":[4,40],"points":[5],"is":[6,34,64,69,77,94],"a":[7,54,84],"problem":[8,43],"shared":[9],"by":[10],"many":[11],"subject":[12],"areas,":[13],"including":[14],"disease":[15],"and":[16,23,56,97],"criminality":[17],"mapping,":[18],"medical":[19],"diagnosis,":[20],"industrial":[21],"control,":[22],"finance.":[24],"An":[25],"algorithm":[26,76],"based":[27],"on":[28],"the":[29,38,52,81,92],"Product":[30],"Partition":[31],"Model":[32],"(PPM)":[33],"developed":[35],"to":[36,50,59,80],"solve":[37],"point":[41],"in":[44],"Poisson":[45],"data":[46,86],"sequences.":[47],"In":[48],"order":[49],"address":[51],"PPM,":[53],"simple":[55],"easy":[57],"way":[58],"implement":[60],"Gibbs":[61],"sampling":[62],"scheme":[63],"derived.":[65],"A":[66],"sensitivity":[67],"analysis":[68,82],"performed,":[70],"for":[71],"different":[72],"prior":[73],"specifications.":[74],"then":[78],"applied":[79],"real":[85],"sequence.":[87],"results":[89],"show":[90],"that":[91],"method":[93],"quite":[95],"effective":[96],"provides":[98],"useful":[99],"inferences.":[100]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
