{"id":"https://openalex.org/W2941865280","doi":"https://doi.org/10.1080/03610918.2019.1601216","title":"Computing exact score vectors for linear Gaussian state space models","display_name":"Computing exact score vectors for linear Gaussian state space models","publication_year":2019,"publication_date":"2019-04-22","ids":{"openalex":"https://openalex.org/W2941865280","doi":"https://doi.org/10.1080/03610918.2019.1601216","mag":"2941865280"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2019.1601216","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2019.1601216","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics - Simulation and Computation","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/A5037946228","display_name":"Daisuke Nagakura","orcid":null},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Daisuke Nagakura","raw_affiliation_strings":["Faculty of Economics, Keio University, Minatoku, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Economics, Keio University, Minatoku, Tokyo, Japan","institution_ids":["https://openalex.org/I203951103"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5037946228"],"corresponding_institution_ids":["https://openalex.org/I203951103"],"apc_list":null,"apc_paid":null,"fwci":0.4236,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.69933713,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"50","issue":"8","first_page":"2313","last_page":"2326"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9951000213623047,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9951000213623047,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9832000136375427,"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/gaussian","display_name":"Gaussian","score":0.5469889044761658},{"id":"https://openalex.org/keywords/state-space","display_name":"State space","score":0.5381665229797363},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.43839138746261597},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4230729937553406},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37944912910461426},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.3470498323440552},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3457705080509186},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.22239822149276733},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.196809321641922},{"id":"https://openalex.org/keywords/quantum-mechanics","display_name":"Quantum mechanics","score":0.08771523833274841}],"concepts":[{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5469889044761658},{"id":"https://openalex.org/C72434380","wikidata":"https://www.wikidata.org/wiki/Q230930","display_name":"State space","level":2,"score":0.5381665229797363},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.43839138746261597},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4230729937553406},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37944912910461426},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.3470498323440552},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3457705080509186},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.22239822149276733},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.196809321641922},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.08771523833274841},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/03610918.2019.1601216","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2019.1601216","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics - Simulation and Computation","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2009982207","https://openalex.org/W2011131408","https://openalex.org/W2073675547","https://openalex.org/W2091020207","https://openalex.org/W2147523358","https://openalex.org/W2167430018","https://openalex.org/W2344541740","https://openalex.org/W3104546365","https://openalex.org/W3114731062","https://openalex.org/W4234399542","https://openalex.org/W4302078450","https://openalex.org/W4307492541"],"related_works":["https://openalex.org/W2048140462","https://openalex.org/W2140288152","https://openalex.org/W2963637926","https://openalex.org/W2038905316","https://openalex.org/W2259719486","https://openalex.org/W2799769525","https://openalex.org/W1966851638","https://openalex.org/W4292218292","https://openalex.org/W2114279993","https://openalex.org/W2075252297"],"abstract_inverted_index":{"A":[0],"recursive":[1],"formula":[2,40,118],"for":[3,13,98,122],"computing":[4,97],"the":[5,18,45,88,92,104],"exact":[6,95],"value":[7],"of":[8,17,44,70,94,130],"score":[9,46,96,124],"vectors":[10],"is":[11,25,113,119],"proposed":[12],"a":[14,68,99],"general":[15,100],"form":[16],"linear":[19],"Gaussian":[20],"state":[21],"space":[22],"model,":[23],"which":[24],"more":[26],"desirable":[27],"than":[28],"approximate":[29],"values":[30],"in":[31,55,87,91,109],"some":[32,58],"statistical":[33],"analyses.":[34],"Unlike":[35],"most":[36],"extant":[37],"methods,":[38],"our":[39,117],"calculates":[41],"all":[42],"components":[43],"vector":[47],"simultaneously.":[48],"This":[49,79],"approach":[50],"significantly":[51],"simplifies":[52],"its":[53],"programing,":[54],"particular,":[56],"with":[57,126],"matrix-oriented":[59],"programing":[60],"languages,":[61],"such":[62,102],"as":[63,103],"MATLAB.":[64],"We":[65],"also":[66,114],"consider":[67,108],"way":[69],"handling":[71],"initial":[72],"conditions":[73],"that":[74,106,116],"depend":[75],"on":[76],"unknown":[77],"parameters.":[78],"issue":[80],"has":[81],"not":[82],"yet":[83],"been":[84],"explicitly":[85],"addressed":[86],"existing":[89],"literature":[90],"context":[93],"case,":[101],"one":[105],"we":[107],"this":[110],"paper.":[111],"It":[112],"shown":[115],"especially":[120],"useful":[121],"calculating":[123],"tests":[125],"an":[127],"outer":[128],"product":[129],"gradient":[131],"asymptotic":[132],"covariance":[133],"matrix":[134],"estimator.":[135]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
