{"id":"https://openalex.org/W3211648995","doi":"https://doi.org/10.1109/mfi52462.2021.9591191","title":"A Novel Gamma Filter for Positive Parameter Estimation","display_name":"A Novel Gamma Filter for Positive Parameter Estimation","publication_year":2021,"publication_date":"2021-09-23","ids":{"openalex":"https://openalex.org/W3211648995","doi":"https://doi.org/10.1109/mfi52462.2021.9591191","mag":"3211648995"},"language":"en","primary_location":{"id":"doi:10.1109/mfi52462.2021.9591191","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mfi52462.2021.9591191","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)","raw_type":"proceedings-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/A5051386889","display_name":"Corey L. Marcus","orcid":null},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Corey Marcus","raw_affiliation_strings":["The University of Texas at Austin,Department Aerospace and Engineering Mechanics,USA"],"affiliations":[{"raw_affiliation_string":"The University of Texas at Austin,Department Aerospace and Engineering Mechanics,USA","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052167629","display_name":"Renato Zanetti","orcid":"https://orcid.org/0000-0001-9669-7428"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Renato Zanetti","raw_affiliation_strings":["The University of Texas at Austin,Department of Aerospace and Engineering Mechanics,USA"],"affiliations":[{"raw_affiliation_string":"The University of Texas at Austin,Department of Aerospace and Engineering Mechanics,USA","institution_ids":["https://openalex.org/I86519309"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5051386889"],"corresponding_institution_ids":["https://openalex.org/I86519309"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16388635,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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":0.9997000098228455,"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":0.9997000098228455,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.7621301412582397},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.6541252732276917},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6250340938568115},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.6098359823226929},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5574646592140198},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5080828666687012},{"id":"https://openalex.org/keywords/recursive-bayesian-estimation","display_name":"Recursive Bayesian estimation","score":0.5001447200775146},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4815569221973419},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.47521549463272095},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.47249308228492737},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.45951688289642334},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.44587352871894836},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3403398096561432},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.24801713228225708},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2095744013786316}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7621301412582397},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.6541252732276917},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6250340938568115},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.6098359823226929},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5574646592140198},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5080828666687012},{"id":"https://openalex.org/C40343088","wikidata":"https://www.wikidata.org/wiki/Q3059012","display_name":"Recursive Bayesian estimation","level":3,"score":0.5001447200775146},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4815569221973419},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.47521549463272095},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.47249308228492737},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.45951688289642334},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.44587352871894836},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3403398096561432},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.24801713228225708},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2095744013786316},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mfi52462.2021.9591191","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mfi52462.2021.9591191","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)","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":9,"referenced_works":["https://openalex.org/W612478963","https://openalex.org/W1600022730","https://openalex.org/W2105934661","https://openalex.org/W2238582461","https://openalex.org/W2482654751","https://openalex.org/W2783443240","https://openalex.org/W2889450932","https://openalex.org/W3097399247","https://openalex.org/W6618872416"],"related_works":["https://openalex.org/W2059970573","https://openalex.org/W2152348771","https://openalex.org/W1976194731","https://openalex.org/W1654445201","https://openalex.org/W2075085022","https://openalex.org/W2532459328","https://openalex.org/W2356396993","https://openalex.org/W617750611","https://openalex.org/W2012949382","https://openalex.org/W2013439927"],"abstract_inverted_index":{"This":[0],"work":[1],"develops":[2],"a":[3,60],"new":[4],"recursive":[5],"Bayesian":[6],"estimation":[7],"algorithm":[8],"for":[9],"gamma-distributed":[10],"random":[11],"variables.":[12],"The":[13],"time":[14],"prediction":[15],"and":[16,22,52],"measurement":[17],"update":[18,37],"steps":[19],"are":[20,24],"developed,":[21],"both":[23],"shown":[25,39],"to":[26,40],"have":[27],"analytic":[28],"closed":[29],"formed":[30],"solutions":[31],"under":[32],"certain":[33],"conditions.":[34],"Furthermore,":[35],"the":[36,48],"is":[38,44],"be":[41],"unbiased,":[42],"this":[43],"theoretically":[45],"guaranteed":[46],"by":[47],"choice":[49],"of":[50],"estimator":[51],"demonstrated":[53],"numerically":[54],"through":[55],"Monte":[56],"Carlo":[57],"methods":[58],"with":[59],"simple":[61],"example.":[62]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}