{"id":"https://openalex.org/W2027957177","doi":"https://doi.org/10.1145/1660877.1660912","title":"Efficient Monte Carlo computation of Fisher information matrix using prior information","display_name":"Efficient Monte Carlo computation of Fisher information matrix using prior information","publication_year":2007,"publication_date":"2007-08-28","ids":{"openalex":"https://openalex.org/W2027957177","doi":"https://doi.org/10.1145/1660877.1660912","mag":"2027957177"},"language":"en","primary_location":{"id":"doi:10.1145/1660877.1660912","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1660877.1660912","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2007 Workshop on Performance Metrics for Intelligent Systems","raw_type":"proceedings-article"},"type":"conference-paper","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/A5102829313","display_name":"Sonjoy Das","orcid":"https://orcid.org/0000-0001-9711-8272"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sonjoy Das","raw_affiliation_strings":["University of Southern California, Los Angeles, California","University of Southern California, Los Angeles, California;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Southern California, Los Angeles, California","institution_ids":["https://openalex.org/I1174212"]},{"raw_affiliation_string":"University of Southern California, Los Angeles, California;","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066890566","display_name":"James C. Spall","orcid":"https://orcid.org/0000-0001-8034-8864"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]},{"id":"https://openalex.org/I2802946424","display_name":"Johns Hopkins University Applied Physics Laboratory","ror":"https://ror.org/029pp9z10","country_code":"US","type":"facility","lineage":["https://openalex.org/I145311948","https://openalex.org/I2802946424"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James C. Spall","raw_affiliation_strings":["The Johns Hopkins University, Laurel, Maryland","The Johns Hopkins University, Laurel, Maryland#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Johns Hopkins University, Laurel, Maryland","institution_ids":["https://openalex.org/I2802946424","https://openalex.org/I145311948"]},{"raw_affiliation_string":"The Johns Hopkins University, Laurel, Maryland#TAB#","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006138292","display_name":"Roger Ghanem","orcid":"https://orcid.org/0000-0002-1890-920X"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Roger Ghanem","raw_affiliation_strings":["University of Southern California, Los Angeles, California","University of Southern California, Los Angeles, California;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Southern California, Los Angeles, California","institution_ids":["https://openalex.org/I1174212"]},{"raw_affiliation_string":"University of Southern California, Los Angeles, California;","institution_ids":["https://openalex.org/I1174212"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"242","last_page":"249"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11195","display_name":"Simulation Techniques and Applications","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11195","display_name":"Simulation Techniques and Applications","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9922000169754028,"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/T13126","display_name":"Scientific Research and Discoveries","score":0.9914000034332275,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/fisher-information","display_name":"Fisher information","score":0.83371901512146},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.6772597432136536},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.665016770362854},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5467464327812195},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.41445350646972656},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3802814483642578},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.37706857919692993},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2576788067817688},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2505890130996704},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.18105918169021606},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10569041967391968},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.06188276410102844}],"concepts":[{"id":"https://openalex.org/C29406490","wikidata":"https://www.wikidata.org/wiki/Q1420659","display_name":"Fisher information","level":2,"score":0.83371901512146},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.6772597432136536},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.665016770362854},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5467464327812195},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.41445350646972656},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3802814483642578},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.37706857919692993},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2576788067817688},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2505890130996704},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.18105918169021606},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10569041967391968},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.06188276410102844},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1660877.1660912","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1660877.1660912","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2007 Workshop on Performance Metrics for Intelligent Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W203276351","https://openalex.org/W1967573895","https://openalex.org/W1989000556","https://openalex.org/W2001136571","https://openalex.org/W2064076655","https://openalex.org/W2103623067","https://openalex.org/W2124289529","https://openalex.org/W2150150674","https://openalex.org/W2167407193","https://openalex.org/W4210489512"],"related_works":["https://openalex.org/W2354062721","https://openalex.org/W2908068254","https://openalex.org/W1534842550","https://openalex.org/W3152715167","https://openalex.org/W2102423997","https://openalex.org/W2005266888","https://openalex.org/W2385672564","https://openalex.org/W3211492232","https://openalex.org/W1572523360","https://openalex.org/W2105730801"],"abstract_inverted_index":{"The":[0],"Fisher":[1],"information":[2],"matrix":[3],"(FIM)":[4],"is":[5,31],"a":[6,41,56,66],"critical":[7],"quantity":[8],"in":[9,40,55,65,70],"several":[10],"aspects":[11],"of":[12,28,47,62],"mathematical":[13,57],"modeling,":[14],"including":[15],"input":[16,38],"selection,":[17,19],"model":[18],"and":[20],"confidence":[21],"region":[22],"calculation.":[23],"For":[24],"example,":[25],"the":[26,29,32,45,49,63],"determinant":[27],"FIM":[30,64],"main":[33],"performance":[34],"metric":[35],"for":[36],"choosing":[37],"values":[39],"scientific":[42],"experiment":[43],"with":[44],"aims":[46],"achieving":[48],"most":[50],"accurate":[51],"resulting":[52],"parameter":[53],"estimates":[54],"model.":[58],"However,":[59],"analytical":[60],"determination":[61],"general":[67],"setting,":[68],"especially":[69],"nonlinear":[71],"models,":[72],"may":[73],"be":[74],"difficult":[75],"or":[76],"almost":[77],"impossible":[78],"due":[79],"to":[80],"intractable":[81,85],"modeling":[82],"requirements":[83],"and/or":[84],"high-dimensional":[86],"integration.":[87]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
