{"id":"https://openalex.org/W3041007096","doi":"https://doi.org/10.1007/s00357-020-09363-4","title":"Model-based Clustering of Count Processes","display_name":"Model-based Clustering of Count Processes","publication_year":2020,"publication_date":"2020-07-02","ids":{"openalex":"https://openalex.org/W3041007096","doi":"https://doi.org/10.1007/s00357-020-09363-4","mag":"3041007096"},"language":"en","primary_location":{"id":"doi:10.1007/s00357-020-09363-4","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00357-020-09363-4","pdf_url":null,"source":{"id":"https://openalex.org/S73028643","display_name":"Journal of Classification","issn_l":"0176-4268","issn":["0176-4268","1432-1343"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Classification","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077802543","display_name":"Tin Lok James Ng","orcid":"https://orcid.org/0000-0002-4405-4911"},"institutions":[{"id":"https://openalex.org/I204824540","display_name":"University of Wollongong","ror":"https://ror.org/00jtmb277","country_code":"AU","type":"education","lineage":["https://openalex.org/I204824540"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Tin Lok James Ng","raw_affiliation_strings":["School of Mathematics and Applied Statistics, University of Wollongong, Wollongong, Australia"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Applied Statistics, University of Wollongong, Wollongong, Australia","institution_ids":["https://openalex.org/I204824540"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075932839","display_name":"Thomas Brendan Murphy","orcid":"https://orcid.org/0000-0002-5668-7046"},"institutions":[{"id":"https://openalex.org/I100930933","display_name":"University College Dublin","ror":"https://ror.org/05m7pjf47","country_code":"IE","type":"education","lineage":["https://openalex.org/I100930933"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Thomas Brendan Murphy","raw_affiliation_strings":["School of Mathematics and Statistics, University College Dublin, Dublin, Ireland"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, University College Dublin, Dublin, Ireland","institution_ids":["https://openalex.org/I100930933"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5077802543"],"corresponding_institution_ids":["https://openalex.org/I204824540"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":0.4078,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.69414314,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"38","issue":"2","first_page":"188","last_page":"211"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9994999766349792,"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":0.9994999766349792,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9977999925613403,"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/T11106","display_name":"Data Management and Algorithms","score":0.9897000193595886,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/cluster-analysis","display_name":"Cluster analysis","score":0.8374592065811157},{"id":"https://openalex.org/keywords/count-data","display_name":"Count data","score":0.6323572993278503},{"id":"https://openalex.org/keywords/model-selection","display_name":"Model selection","score":0.5553525686264038},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5415473580360413},{"id":"https://openalex.org/keywords/smoothness","display_name":"Smoothness","score":0.5324282050132751},{"id":"https://openalex.org/keywords/cox-process","display_name":"Cox process","score":0.5317952036857605},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.5256922245025635},{"id":"https://openalex.org/keywords/nonparametric-statistics","display_name":"Nonparametric statistics","score":0.4857793152332306},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48496007919311523},{"id":"https://openalex.org/keywords/poisson-distribution","display_name":"Poisson distribution","score":0.4739675223827362},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.44280096888542175},{"id":"https://openalex.org/keywords/expectation\u2013maximization-algorithm","display_name":"Expectation\u2013maximization algorithm","score":0.4410080313682556},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4398880898952484},{"id":"https://openalex.org/keywords/likelihood-function","display_name":"Likelihood function","score":0.4196811616420746},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.416729211807251},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.41228681802749634},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.40718284249305725},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3992026448249817},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.39647454023361206},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3847258985042572},{"id":"https://openalex.org/keywords/poisson-process","display_name":"Poisson process","score":0.3702229857444763},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.3469401001930237}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8374592065811157},{"id":"https://openalex.org/C33643355","wikidata":"https://www.wikidata.org/wiki/Q5176731","display_name":"Count data","level":3,"score":0.6323572993278503},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.5553525686264038},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5415473580360413},{"id":"https://openalex.org/C102634674","wikidata":"https://www.wikidata.org/wiki/Q868473","display_name":"Smoothness","level":2,"score":0.5324282050132751},{"id":"https://openalex.org/C155051063","wikidata":"https://www.wikidata.org/wiki/Q1290919","display_name":"Cox process","level":4,"score":0.5317952036857605},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.5256922245025635},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.4857793152332306},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48496007919311523},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.4739675223827362},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.44280096888542175},{"id":"https://openalex.org/C182081679","wikidata":"https://www.wikidata.org/wiki/Q1275153","display_name":"Expectation\u2013maximization algorithm","level":3,"score":0.4410080313682556},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4398880898952484},{"id":"https://openalex.org/C89106044","wikidata":"https://www.wikidata.org/wiki/Q45284","display_name":"Likelihood function","level":3,"score":0.4196811616420746},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.416729211807251},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.41228681802749634},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.40718284249305725},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3992026448249817},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.39647454023361206},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3847258985042572},{"id":"https://openalex.org/C166144826","wikidata":"https://www.wikidata.org/wiki/Q1145117","display_name":"Poisson process","level":3,"score":0.3702229857444763},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.3469401001930237},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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":5,"locations":[{"id":"doi:10.1007/s00357-020-09363-4","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00357-020-09363-4","pdf_url":null,"source":{"id":"https://openalex.org/S73028643","display_name":"Journal of Classification","issn_l":"0176-4268","issn":["0176-4268","1432-1343"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Classification","raw_type":"journal-article"},{"id":"pmh:oai:ro.uow.edu.au:eispapers1-5237","is_oa":false,"landing_page_url":"https://ro.uow.edu.au/eispapers1/4210","pdf_url":null,"source":{"id":"https://openalex.org/S4306400510","display_name":"Research Online (University of Wollongong)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I204824540","host_organization_name":"University of Wollongong","host_organization_lineage":["https://openalex.org/I204824540"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Faculty of Engineering and Information Sciences - Papers: Part B","raw_type":"article"},{"id":"pmh:oai:ro.uow.edu.au:test2021-3368","is_oa":false,"landing_page_url":"https://ro.uow.edu.au/test2021/2359","pdf_url":null,"source":{"id":"https://openalex.org/S4306400510","display_name":"Research Online (University of Wollongong)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I204824540","host_organization_name":"University of Wollongong","host_organization_lineage":["https://openalex.org/I204824540"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Test Series for Scopus Harvesting 2021","raw_type":"text"},{"id":"pmh:oai:RePEc:spr:jclass:v:38:y:2021:i:2:d:10.1007_s00357-020-09363-4","is_oa":false,"landing_page_url":"http://link.springer.com/10.1007/s00357-020-09363-4","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:figshare.com:article/27806838","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/27806838","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2881606312","display_name":null,"funder_award_id":"SFI/12/RC/2289","funder_id":"https://openalex.org/F4320320847","funder_display_name":"Science Foundation Ireland"}],"funders":[{"id":"https://openalex.org/F4320320847","display_name":"Science Foundation Ireland","ror":"https://ror.org/0271asj38"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W151653609","https://openalex.org/W164706946","https://openalex.org/W1509967588","https://openalex.org/W1517808374","https://openalex.org/W1571413698","https://openalex.org/W1680392829","https://openalex.org/W1972189565","https://openalex.org/W1981024551","https://openalex.org/W1989290862","https://openalex.org/W2003144493","https://openalex.org/W2011832962","https://openalex.org/W2021137021","https://openalex.org/W2049633694","https://openalex.org/W2050850754","https://openalex.org/W2054336336","https://openalex.org/W2083795796","https://openalex.org/W2084437243","https://openalex.org/W2091982107","https://openalex.org/W2108816982","https://openalex.org/W2110118110","https://openalex.org/W2111795872","https://openalex.org/W2115566948","https://openalex.org/W2128973832","https://openalex.org/W2141742840","https://openalex.org/W2143554828","https://openalex.org/W2144675138","https://openalex.org/W2150097763","https://openalex.org/W2154047075","https://openalex.org/W2161767008","https://openalex.org/W2162596909","https://openalex.org/W2170952786","https://openalex.org/W2478904440","https://openalex.org/W2510099899","https://openalex.org/W2524681876","https://openalex.org/W2950867735","https://openalex.org/W2962861084","https://openalex.org/W2963744971","https://openalex.org/W6606226927","https://openalex.org/W6680681266","https://openalex.org/W6683852811","https://openalex.org/W6718663212"],"related_works":["https://openalex.org/W2898901530","https://openalex.org/W2160216316","https://openalex.org/W3121212717","https://openalex.org/W1606514135","https://openalex.org/W353185590","https://openalex.org/W1934728117","https://openalex.org/W4244733523","https://openalex.org/W1967639437","https://openalex.org/W1512911331","https://openalex.org/W2041014340"],"abstract_inverted_index":null,"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}