{"id":"https://openalex.org/W2889035311","doi":"https://doi.org/10.1109/ssp.2018.8450722","title":"A Comparison Of Clipping Strategies For Importance Sampling","display_name":"A Comparison Of Clipping Strategies For Importance Sampling","publication_year":2018,"publication_date":"2018-06-01","ids":{"openalex":"https://openalex.org/W2889035311","doi":"https://doi.org/10.1109/ssp.2018.8450722","mag":"2889035311"},"language":"en","primary_location":{"id":"doi:10.1109/ssp.2018.8450722","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssp.2018.8450722","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Statistical Signal Processing Workshop (SSP)","raw_type":"proceedings-article"},"type":"preprint","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/A5016290792","display_name":"Luca Martino","orcid":"https://orcid.org/0000-0002-7611-6558"},"institutions":[{"id":"https://openalex.org/I50357001","display_name":"Universidad Carlos III de Madrid","ror":"https://ror.org/03ths8210","country_code":"ES","type":"education","lineage":["https://openalex.org/I50357001"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"L. Martino","raw_affiliation_strings":["Universidad Carlos III de Madrid, Legan\u00e9s, Spain"],"affiliations":[{"raw_affiliation_string":"Universidad Carlos III de Madrid, Legan\u00e9s, Spain","institution_ids":["https://openalex.org/I50357001"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085691944","display_name":"V\u0301\u0131ctor Elvira","orcid":"https://orcid.org/0000-0002-8967-4866"},"institutions":[{"id":"https://openalex.org/I4210133642","display_name":"IMT Nord Europe","ror":"https://ror.org/042rh9p26","country_code":"FR","type":"education","lineage":["https://openalex.org/I205703379","https://openalex.org/I4210133642"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"V. Elvira","raw_affiliation_strings":["IMT Lille Douai & CRIStAL (UMR 9189), Villeneuve d\u2019Ascq, France","IMT Lille Douai & CRIStAL (UMR 9189), Villeneuve d'Ascq, France"],"affiliations":[{"raw_affiliation_string":"IMT Lille Douai & CRIStAL (UMR 9189), Villeneuve d\u2019Ascq, France","institution_ids":["https://openalex.org/I4210133642"]},{"raw_affiliation_string":"IMT Lille Douai & CRIStAL (UMR 9189), Villeneuve d'Ascq, France","institution_ids":["https://openalex.org/I4210133642"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049447262","display_name":"Joaqu\u0131\u0301n M\u0131\u0301guez","orcid":"https://orcid.org/0000-0001-5227-7253"},"institutions":[{"id":"https://openalex.org/I50357001","display_name":"Universidad Carlos III de Madrid","ror":"https://ror.org/03ths8210","country_code":"ES","type":"education","lineage":["https://openalex.org/I50357001"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"J. Miguez","raw_affiliation_strings":["Universidad Carlos III de Madrid, Legan\u00e9s, Spain"],"affiliations":[{"raw_affiliation_string":"Universidad Carlos III de Madrid, Legan\u00e9s, Spain","institution_ids":["https://openalex.org/I50357001"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074635079","display_name":"Antonio Art\u00e9s-Rodr\u0131\u0301guez","orcid":"https://orcid.org/0000-0001-6540-7109"},"institutions":[{"id":"https://openalex.org/I50357001","display_name":"Universidad Carlos III de Madrid","ror":"https://ror.org/03ths8210","country_code":"ES","type":"education","lineage":["https://openalex.org/I50357001"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"A. Artes-Rodriguez","raw_affiliation_strings":["Universidad Carlos III de Madrid, Legan\u00e9s, Spain"],"affiliations":[{"raw_affiliation_string":"Universidad Carlos III de Madrid, Legan\u00e9s, Spain","institution_ids":["https://openalex.org/I50357001"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006962534","display_name":"Petar M. Djuri\u0107","orcid":"https://orcid.org/0000-0001-7791-3199"},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"P. M. Djuric","raw_affiliation_strings":["Stony Brook University, New York, Stony Brook, USA"],"affiliations":[{"raw_affiliation_string":"Stony Brook University, New York, Stony Brook, USA","institution_ids":["https://openalex.org/I59553526"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5016290792"],"corresponding_institution_ids":["https://openalex.org/I50357001"],"apc_list":null,"apc_paid":null,"fwci":0.19896806,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.59969492,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"558","last_page":"562"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"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/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"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/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9871000051498413,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"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/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.9866999983787537,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/clipping","display_name":"Clipping (morphology)","score":0.7795621752738953},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6542596817016602},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6297276616096497},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.6229735016822815},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5400410890579224},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.508866548538208},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.4890657365322113},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48594939708709717},{"id":"https://openalex.org/keywords/importance-sampling","display_name":"Importance sampling","score":0.46414414048194885},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4422233998775482},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.42721447348594666},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4166111946105957},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.37634262442588806},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2594747841358185}],"concepts":[{"id":"https://openalex.org/C2776848632","wikidata":"https://www.wikidata.org/wiki/Q853463","display_name":"Clipping (morphology)","level":2,"score":0.7795621752738953},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6542596817016602},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6297276616096497},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.6229735016822815},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5400410890579224},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.508866548538208},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.4890657365322113},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48594939708709717},{"id":"https://openalex.org/C52740198","wikidata":"https://www.wikidata.org/wiki/Q1539564","display_name":"Importance sampling","level":3,"score":0.46414414048194885},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4422233998775482},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.42721447348594666},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4166111946105957},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.37634262442588806},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2594747841358185},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ssp.2018.8450722","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssp.2018.8450722","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Statistical Signal Processing Workshop (SSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W280128266","https://openalex.org/W577274971","https://openalex.org/W1513873506","https://openalex.org/W1539591727","https://openalex.org/W1979969656","https://openalex.org/W1985093013","https://openalex.org/W2002409557","https://openalex.org/W2006722592","https://openalex.org/W2008455861","https://openalex.org/W2057565703","https://openalex.org/W2086206379","https://openalex.org/W2090346540","https://openalex.org/W2164042268","https://openalex.org/W2164393493","https://openalex.org/W2271361270","https://openalex.org/W2279857902","https://openalex.org/W2588812540","https://openalex.org/W2735102987","https://openalex.org/W2767243680","https://openalex.org/W2951522206","https://openalex.org/W2962947173","https://openalex.org/W3106038217","https://openalex.org/W3124477112","https://openalex.org/W4240844614","https://openalex.org/W4285719527","https://openalex.org/W4292691288","https://openalex.org/W4297086424","https://openalex.org/W6683928519","https://openalex.org/W6685431947","https://openalex.org/W6694973836","https://openalex.org/W6736379875"],"related_works":["https://openalex.org/W4287880334","https://openalex.org/W4388311650","https://openalex.org/W5922282","https://openalex.org/W1974056099","https://openalex.org/W2035130982","https://openalex.org/W4245343541","https://openalex.org/W2386077341","https://openalex.org/W563589758","https://openalex.org/W62490179","https://openalex.org/W4366700029"],"abstract_inverted_index":{"Importance":[0],"Sampling":[1],"(IS)":[2],"methods":[3,136],"approximate":[4],"a":[5,9,16,20,49,103,110,116],"targeted":[6,27],"distribution":[7,28],"with":[8,91,130],"set":[10],"of":[11,33,62,71,74,96,112,139],"weighted":[12],"samples,":[13],"drawn":[14],"from":[15],"proposal":[17,24],"distribution.":[18],"Unfortunately,":[19],"mismatch":[21],"between":[22],"the":[23,26,31,34,42,55,68,72,75,79,84,94,97,120],"and":[25,87,133],"may":[29],"endanger":[30],"performance":[32],"estimators.":[35],"In":[36],"this":[37,63],"paper,":[38],"we":[39],"focus":[40],"on":[41],"so-called":[43],"nonlinear":[44,50],"IS":[45,132],"(NIS)":[46],"framework,":[47],"where":[48,107],"function":[51],"is":[52,65,114],"applied":[53],"to":[54,66,93],"standard":[56,131],"importance":[57],"weights":[58,113],"(IWs).":[59],"The":[60],"aim":[61],"transformation":[64,86],"mitigate":[67],"well-known":[69],"problem":[70],"degeneracy":[73],"IWs":[76],"by":[77,137],"controlling":[78],"weight":[80],"variability.":[81],"We":[82,100,125],"consider":[83],"clipping":[85,98],"test":[88],"its":[89],"robustness":[90],"respect":[92],"choice":[95],"value.":[99],"also":[101,119],"propose":[102],"novel":[104],"NIS":[105,128],"methodology,":[106],"not":[108],"only":[109],"subset":[111],"modified":[115],"posteriori,":[117],"but":[118],"corresponding":[121],"samples":[122],"are":[123],"moved.":[124],"compare":[126],"these":[127],"schemes":[129],"Monte":[134],"Carlo":[135],"means":[138],"illustrative":[140],"numerical":[141],"examples.":[142]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}