{"id":"https://openalex.org/W2920471501","doi":"https://doi.org/10.1007/s00180-019-00877-z","title":"Recursive estimation of multivariate hidden Markov model parameters","display_name":"Recursive estimation of multivariate hidden Markov model parameters","publication_year":2019,"publication_date":"2019-03-05","ids":{"openalex":"https://openalex.org/W2920471501","doi":"https://doi.org/10.1007/s00180-019-00877-z","mag":"2920471501"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00180-019-00877-z","pdf_url":null,"source":{"id":"https://openalex.org/S8500805","display_name":"Computational Statistics","issn_l":"0943-4062","issn":["0943-4062","1613-9658"],"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/P4310319965","https://openalex.org/P4310319900"],"host_organization_lineage_names":["Springer Nature","Springer Science+Business Media"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-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/A5066990908","display_name":"J\u016brat\u0117 Vai\u010diulyt\u0117","orcid":"https://orcid.org/0000-0001-8249-0768"},"institutions":[{"id":"https://openalex.org/I173212132","display_name":"Vilnius University","ror":"https://ror.org/03nadee84","country_code":"LT","type":"education","lineage":["https://openalex.org/I173212132"]}],"countries":["LT"],"is_corresponding":true,"raw_author_name":"J\u016brat\u0117 Vai\u010diulyt\u0117","raw_affiliation_strings":["Institute of Data Science and Digital Technologies, Vilnius University, Akademijos str. 4, 04812, Vilnius, Lithuania"],"affiliations":[{"raw_affiliation_string":"Institute of Data Science and Digital Technologies, Vilnius University, Akademijos str. 4, 04812, Vilnius, Lithuania","institution_ids":["https://openalex.org/I173212132"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077937900","display_name":"Leonidas Sakalauskas","orcid":"https://orcid.org/0000-0002-7874-7986"},"institutions":[{"id":"https://openalex.org/I337868014","display_name":"Klaip\u0117da University","ror":"https://ror.org/027sdcz20","country_code":"LT","type":"education","lineage":["https://openalex.org/I337868014"]}],"countries":["LT"],"is_corresponding":false,"raw_author_name":"Leonidas Sakalauskas","raw_affiliation_strings":["Klaip\u0117da University, H. Manto str. 84, 92294, Klaip\u0117da, Lithuania"],"affiliations":[{"raw_affiliation_string":"Klaip\u0117da University, H. Manto str. 84, 92294, Klaip\u0117da, Lithuania","institution_ids":["https://openalex.org/I337868014"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5066990908"],"corresponding_institution_ids":["https://openalex.org/I173212132"],"apc_list":{"value":2490,"currency":"EUR","value_usd":3090,"provenance":"doaj"},"apc_paid":null,"fwci":0.566,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":5,"citation_normalized_percentile":{"value":0.886591,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":79,"max":81},"biblio":{"volume":"34","issue":"3","first_page":"1337","last_page":"1353"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9987,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9987,"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/T10320","display_name":"Neural Networks and Applications","score":0.9905,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9857,"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":[],"concepts":[{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.8096621},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.56155175},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.53877324},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5215385},{"id":"https://openalex.org/C38180746","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate analysis","level":2,"score":0.49843717},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.4657154},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.44553685},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42964086},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.36351693},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.33895162},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06265536},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00180-019-00877-z","pdf_url":null,"source":{"id":"https://openalex.org/S8500805","display_name":"Computational Statistics","issn_l":"0943-4062","issn":["0943-4062","1613-9658"],"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/P4310319965","https://openalex.org/P4310319900"],"host_organization_lineage_names":["Springer Nature","Springer Science+Business Media"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":30,"referenced_works":["https://openalex.org/W1488001421","https://openalex.org/W1553437616","https://openalex.org/W1663973292","https://openalex.org/W1882651929","https://openalex.org/W1974006687","https://openalex.org/W1983989471","https://openalex.org/W2018122853","https://openalex.org/W2018795431","https://openalex.org/W2052437161","https://openalex.org/W2060675497","https://openalex.org/W2073680033","https://openalex.org/W2087284982","https://openalex.org/W2093135704","https://openalex.org/W2103727079","https://openalex.org/W2110110767","https://openalex.org/W2115916404","https://openalex.org/W2125838338","https://openalex.org/W2139902660","https://openalex.org/W2157769062","https://openalex.org/W2159321228","https://openalex.org/W2160246131","https://openalex.org/W2169387407","https://openalex.org/W2181030995","https://openalex.org/W2215810238","https://openalex.org/W2493111484","https://openalex.org/W2750673042","https://openalex.org/W2770848963","https://openalex.org/W2782631400","https://openalex.org/W2962698292","https://openalex.org/W2975583916"],"related_works":["https://openalex.org/W4318262572","https://openalex.org/W4250754046","https://openalex.org/W4243682621","https://openalex.org/W40745829","https://openalex.org/W2406638334","https://openalex.org/W2036849593","https://openalex.org/W2032728545","https://openalex.org/W1978357124","https://openalex.org/W1578824628","https://openalex.org/W1570805059"],"abstract_inverted_index":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2920471501","counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2024-12-15T16:44:59.761339","created_date":"2019-03-11"}