{"id":"https://openalex.org/W1541011473","doi":"https://doi.org/10.1109/tsp.2016.2558166","title":"The Chopthin Algorithm for Resampling","display_name":"The Chopthin Algorithm for Resampling","publication_year":2016,"publication_date":"2016-04-25","ids":{"openalex":"https://openalex.org/W1541011473","doi":"https://doi.org/10.1109/tsp.2016.2558166","mag":"1541011473"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2016.2558166","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2016.2558166","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1502.07532","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043216872","display_name":"Axel Gandy","orcid":"https://orcid.org/0000-0002-6777-0451"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Axel Gandy","raw_affiliation_strings":["Imperial College London, London, U.K","Imperial College London, London, U.K#TAB#"],"affiliations":[{"raw_affiliation_string":"Imperial College London, London, U.K","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"Imperial College London, London, U.K#TAB#","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054005347","display_name":"F. Din-Houn Lau","orcid":"https://orcid.org/0000-0003-1065-828X"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"F. Din-Houn Lau","raw_affiliation_strings":["Imperial College London, London, U.K","Imperial College London, London, U.K#TAB#"],"affiliations":[{"raw_affiliation_string":"Imperial College London, London, U.K","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"Imperial College London, London, U.K#TAB#","institution_ids":["https://openalex.org/I47508984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5043216872"],"corresponding_institution_ids":["https://openalex.org/I47508984"],"apc_list":null,"apc_paid":null,"fwci":3.1039,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.92692161,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"64","issue":"16","first_page":"4273","last_page":"4281"},"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":0.9998000264167786,"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":0.9998000264167786,"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/T11220","display_name":"Water Systems and Optimization","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T11698","display_name":"Underwater Acoustics Research","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/resampling","display_name":"Resampling","score":0.9475769996643066},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.7051172256469727},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.6888260841369629},{"id":"https://openalex.org/keywords/python","display_name":"Python (programming language)","score":0.6251002550125122},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.596815288066864},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.5498315691947937},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.5334261655807495},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.421779990196228},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3873494565486908},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17696309089660645},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1761929988861084}],"concepts":[{"id":"https://openalex.org/C150921843","wikidata":"https://www.wikidata.org/wiki/Q1170431","display_name":"Resampling","level":2,"score":0.9475769996643066},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.7051172256469727},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.6888260841369629},{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.6251002550125122},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.596815288066864},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.5498315691947937},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.5334261655807495},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.421779990196228},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3873494565486908},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17696309089660645},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1761929988861084},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tsp.2016.2558166","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2016.2558166","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1502.07532","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1502.07532","pdf_url":"https://arxiv.org/pdf/1502.07532","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},{"id":"pmh:oai:spiral.imperial.ac.uk:10044/1/30887","is_oa":false,"landing_page_url":"http://hdl.handle.net/10044/1/30887","pdf_url":null,"source":{"id":"https://openalex.org/S4306401396","display_name":"Spiral (Imperial College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I47508984","host_organization_name":"Imperial College London","host_organization_lineage":["https://openalex.org/I47508984"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1502.07532","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1502.07532","pdf_url":"https://arxiv.org/pdf/1502.07532","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1483307070","https://openalex.org/W1501586228","https://openalex.org/W1573874356","https://openalex.org/W2003456014","https://openalex.org/W2047094503","https://openalex.org/W2057665853","https://openalex.org/W2064119066","https://openalex.org/W2064480843","https://openalex.org/W2077611006","https://openalex.org/W2082542916","https://openalex.org/W2089805565","https://openalex.org/W2105934661","https://openalex.org/W2123726866","https://openalex.org/W2130363011","https://openalex.org/W2141585124","https://openalex.org/W3103996751","https://openalex.org/W4230410880","https://openalex.org/W4233487859"],"related_works":["https://openalex.org/W2927378857","https://openalex.org/W2801696468","https://openalex.org/W2406829934","https://openalex.org/W1824810860","https://openalex.org/W2185006999","https://openalex.org/W1583020711","https://openalex.org/W2138381686","https://openalex.org/W2162253570","https://openalex.org/W2010934810","https://openalex.org/W3144709167"],"abstract_inverted_index":{"Resampling":[0],"is":[1,113],"a":[2,36,88],"standard":[3,28,64],"step":[4],"in":[5,115],"particle":[6],"filters":[7],"and":[8,75,127],"more":[9],"generally":[10],"sequential":[11],"Monte":[12],"Carlo":[13],"methods.":[14,66],"We":[15,106],"present":[16],"an":[17,46],"algorithm,":[18],"called":[19],"chopthin,":[20],"for":[21,121],"resampling":[22,29,65],"weighted":[23,40],"particles.":[24,119],"In":[25],"contrast":[26],"to":[27],"methods":[30],"the":[31,50,53,59,92,109,116],"algorithm":[32,61,97],"does":[33],"not":[34],"produce":[35],"set":[37],"of":[38,118],"equally":[39],"particles;":[41],"instead":[42],"it":[43,103],"merely":[44],"enforces":[45],"upper":[47],"bound":[48,90],"on":[49,91],"ratio":[51],"between":[52],"weights.":[54],"Simulation":[55],"studies":[56],"show":[57,107],"that":[58,108],"chopthin":[60],"consistently":[62],"outperforms":[63],"The":[67,96],"algorithms":[68],"chops":[69],"up":[70],"particles":[71,78],"with":[72,79],"large":[73],"weight":[74],"thins":[76],"out":[77],"low":[80],"weight,":[81],"hence":[82],"its":[83],"name.":[84],"It":[85],"implicitly":[86],"guarantees":[87],"lower":[89],"effective":[93],"sample":[94],"size.":[95],"can":[98],"be":[99],"implemented":[100],"efficiently,":[101],"making":[102],"practically":[104],"useful.":[105],"expected":[110],"computational":[111],"effort":[112],"linear":[114],"number":[117],"Implementations":[120],"C++,":[122],"R":[123],"(on":[124],"CRAN),":[125],"Python":[126],"Matlab":[128],"are":[129],"available.":[130]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}