{"id":"https://openalex.org/W7135024856","doi":"https://doi.org/10.1109/camsap66162.2025.11423972","title":"Reversible Jump SMC","display_name":"Reversible Jump SMC","publication_year":2025,"publication_date":"2025-12-14","ids":{"openalex":"https://openalex.org/W7135024856","doi":"https://doi.org/10.1109/camsap66162.2025.11423972"},"language":null,"primary_location":{"id":"doi:10.1109/camsap66162.2025.11423972","is_oa":false,"landing_page_url":"https://doi.org/10.1109/camsap66162.2025.11423972","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 10th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)","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/A5112256059","display_name":"Matt Bright","orcid":null},"institutions":[{"id":"https://openalex.org/I146655781","display_name":"University of Liverpool","ror":"https://ror.org/04xs57h96","country_code":"GB","type":"education","lineage":["https://openalex.org/I146655781"]},{"id":"https://openalex.org/I3130378879","display_name":"Liverpool College","ror":"https://ror.org/027xc7098","country_code":"GB","type":"education","lineage":["https://openalex.org/I3130378879"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Matt Bright","raw_affiliation_strings":["University of Liverpool Liverpool,Department of Electronics and Electrical Engineering,UK"],"affiliations":[{"raw_affiliation_string":"University of Liverpool Liverpool,Department of Electronics and Electrical Engineering,UK","institution_ids":["https://openalex.org/I146655781","https://openalex.org/I3130378879"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083636287","display_name":"Simon Maskell","orcid":"https://orcid.org/0000-0003-1917-2913"},"institutions":[{"id":"https://openalex.org/I146655781","display_name":"University of Liverpool","ror":"https://ror.org/04xs57h96","country_code":"GB","type":"education","lineage":["https://openalex.org/I146655781"]},{"id":"https://openalex.org/I3130378879","display_name":"Liverpool College","ror":"https://ror.org/027xc7098","country_code":"GB","type":"education","lineage":["https://openalex.org/I3130378879"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Simon Maskell","raw_affiliation_strings":["University of Liverpool Liverpool,Department of Electronics and Electrical Engineering,UK"],"affiliations":[{"raw_affiliation_string":"University of Liverpool Liverpool,Department of Electronics and Electrical Engineering,UK","institution_ids":["https://openalex.org/I146655781","https://openalex.org/I3130378879"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5112256059"],"corresponding_institution_ids":["https://openalex.org/I146655781","https://openalex.org/I3130378879"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.97295804,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"271","last_page":"275"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14002","display_name":"Art, Technology, and Culture","score":0.01140000019222498,"subfield":{"id":"https://openalex.org/subfields/1213","display_name":"Visual Arts and Performing Arts"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T14002","display_name":"Art, Technology, and Culture","score":0.01140000019222498,"subfield":{"id":"https://openalex.org/subfields/1213","display_name":"Visual Arts and Performing Arts"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11574","display_name":"Artificial Intelligence in Games","score":0.00800000037997961,"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/T12797","display_name":"History of Computing Technologies","score":0.007499999832361937,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/reversible-jump-markov-chain-monte-carlo","display_name":"Reversible-jump Markov chain Monte Carlo","score":0.9370999932289124},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.7840999960899353},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.6643000245094299},{"id":"https://openalex.org/keywords/jump","display_name":"Jump","score":0.6330999732017517},{"id":"https://openalex.org/keywords/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.6291999816894531},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.5078999996185303},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.4530999958515167}],"concepts":[{"id":"https://openalex.org/C2780591659","wikidata":"https://www.wikidata.org/wiki/Q17083869","display_name":"Reversible-jump Markov chain Monte Carlo","level":4,"score":0.9370999932289124},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.7840999960899353},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.6643000245094299},{"id":"https://openalex.org/C2780695682","wikidata":"https://www.wikidata.org/wiki/Q4005959","display_name":"Jump","level":2,"score":0.6330999732017517},{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.6291999816894531},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.5078999996185303},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4731000065803528},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4578000009059906},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.4530999958515167},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.42879998683929443},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.42250001430511475},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41100001335144043},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.4101000130176544},{"id":"https://openalex.org/C2779377595","wikidata":"https://www.wikidata.org/wiki/Q21045424","display_name":"Approximate Bayesian computation","level":3,"score":0.3587999939918518},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.33889999985694885},{"id":"https://openalex.org/C55689738","wikidata":"https://www.wikidata.org/wiki/Q15963867","display_name":"Discrete time and continuous time","level":2,"score":0.3003000020980835},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.29820001125335693},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.2599000036716461},{"id":"https://openalex.org/C13153151","wikidata":"https://www.wikidata.org/wiki/Q1639846","display_name":"Hybrid Monte Carlo","level":4,"score":0.258899986743927},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.258899986743927}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/camsap66162.2025.11423972","is_oa":false,"landing_page_url":"https://doi.org/10.1109/camsap66162.2025.11423972","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 10th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)","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":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Reversible":[0],"Jump":[1],"Markov":[2],"Chain":[3],"Monte":[4,35],"Carlo":[5,36],"(RJMCMC)":[6],"methods":[7],"are":[8,18],"commonly":[9],"used":[10],"to":[11,20,47,67],"estimate":[12],"models":[13],"involving":[14],"discrete":[15,73],"parameters,":[16],"but":[17],"slow":[19],"converge,":[21],"with":[22,103],"high":[23],"rejection":[24],"rates":[25],"for":[26],"proposals.":[27],"We":[28,78],"embed":[29],"RJMCMC":[30,93],"proposals":[31,74],"into":[32],"a":[33,99],"Sequential":[34],"(SMC)":[37],"sampler,":[38],"taking":[39],"advantage":[40],"of":[41,45,61,71,97,107],"the":[42,55,59,64,69,95],"inherent":[43],"parallelism":[44],"SMC":[46,65],"decrease":[48],"overall":[49],"computation":[50,89],"time.":[51],"Additionally,":[52],"we":[53],"use":[54],"information":[56],"encoded":[57],"in":[58,63,88,94],"weights":[60],"particles":[62],"sampler":[66],"inform":[68],"probability":[70],"particular":[72],"at":[75],"each":[76],"step.":[77],"demonstrate":[79],"that":[80],"these":[81],"approaches":[82],"offer":[83],"comparable":[84],"performance":[85],"and":[86],"improvements":[87],"time":[90],"over":[91],"conventional":[92],"setting":[96],"estimating":[98],"finite":[100],"mixture":[101],"model":[102],"an":[104],"unknown":[105],"number":[106],"components.":[108]},"counts_by_year":[],"updated_date":"2026-03-14T06:41:57.775601","created_date":"2026-03-13T00:00:00"}
