{"id":"https://openalex.org/W3119619578","doi":"https://doi.org/10.1109/cdc42340.2020.9304194","title":"Stochastic filters based on hybrid approximations of multiscale stochastic reaction networks","display_name":"Stochastic filters based on hybrid approximations of multiscale stochastic reaction networks","publication_year":2020,"publication_date":"2020-12-14","ids":{"openalex":"https://openalex.org/W3119619578","doi":"https://doi.org/10.1109/cdc42340.2020.9304194","mag":"3119619578"},"language":"en","primary_location":{"id":"doi:10.1109/cdc42340.2020.9304194","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc42340.2020.9304194","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 59th IEEE Conference on Decision and Control (CDC)","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/A5048127669","display_name":"Zhou Fang","orcid":"https://orcid.org/0000-0002-5389-6694"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Zhou Fang","raw_affiliation_strings":["ETH, Z\u00fcrich"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ETH, Z\u00fcrich","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022754114","display_name":"Ankit Gupta","orcid":"https://orcid.org/0000-0002-1054-6133"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Ankit Gupta","raw_affiliation_strings":["ETH, Z\u00fcrich"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ETH, Z\u00fcrich","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018485369","display_name":"Mustafa Khammash","orcid":"https://orcid.org/0000-0002-4855-9220"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Mustafa Khammash","raw_affiliation_strings":["ETH, Z\u00fcrich"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ETH, Z\u00fcrich","institution_ids":["https://openalex.org/I35440088"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I35440088"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4616","last_page":"4621"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10621","display_name":"Gene Regulatory Network Analysis","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10621","display_name":"Gene Regulatory Network Analysis","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10540","display_name":"Advanced Fluorescence Microscopy Techniques","score":0.9876999855041504,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11289","display_name":"Single-cell and spatial transcriptomics","score":0.9869999885559082,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.7032557725906372},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6472153067588806},{"id":"https://openalex.org/keywords/filtering-problem","display_name":"Filtering problem","score":0.5894299745559692},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.5718144774436951},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5134533047676086},{"id":"https://openalex.org/keywords/stochastic-process","display_name":"Stochastic process","score":0.5049646496772766},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.4722957909107208},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.46687668561935425},{"id":"https://openalex.org/keywords/stochastic-modelling","display_name":"Stochastic modelling","score":0.43659552931785583},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36465781927108765},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21249684691429138},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19896334409713745},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.14617255330085754}],"concepts":[{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.7032557725906372},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6472153067588806},{"id":"https://openalex.org/C41614226","wikidata":"https://www.wikidata.org/wiki/Q5449244","display_name":"Filtering problem","level":4,"score":0.5894299745559692},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.5718144774436951},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5134533047676086},{"id":"https://openalex.org/C8272713","wikidata":"https://www.wikidata.org/wiki/Q176737","display_name":"Stochastic process","level":2,"score":0.5049646496772766},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4722957909107208},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.46687668561935425},{"id":"https://openalex.org/C127491075","wikidata":"https://www.wikidata.org/wiki/Q7617825","display_name":"Stochastic modelling","level":2,"score":0.43659552931785583},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36465781927108765},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21249684691429138},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19896334409713745},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.14617255330085754},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cdc42340.2020.9304194","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc42340.2020.9304194","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 59th IEEE Conference on Decision and Control (CDC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W172803389","https://openalex.org/W1574590662","https://openalex.org/W1973191383","https://openalex.org/W1984217390","https://openalex.org/W1989102267","https://openalex.org/W2002919709","https://openalex.org/W2003922224","https://openalex.org/W2012434656","https://openalex.org/W2018063390","https://openalex.org/W2023254727","https://openalex.org/W2028839103","https://openalex.org/W2046451925","https://openalex.org/W2080739873","https://openalex.org/W2111787305","https://openalex.org/W2125744693","https://openalex.org/W2126794261","https://openalex.org/W2173099104","https://openalex.org/W2278893082","https://openalex.org/W2804461679","https://openalex.org/W2891471842","https://openalex.org/W2911585371","https://openalex.org/W2964252372","https://openalex.org/W3102822607","https://openalex.org/W4213329537","https://openalex.org/W6676780147"],"related_works":["https://openalex.org/W104987639","https://openalex.org/W1995427843","https://openalex.org/W2042280983","https://openalex.org/W2888652631","https://openalex.org/W2091241697","https://openalex.org/W2321888438","https://openalex.org/W2369445029","https://openalex.org/W2026456043","https://openalex.org/W4320063126","https://openalex.org/W2417662900"],"abstract_inverted_index":{"We":[0,23,105],"consider":[1],"the":[2,6,30,38,47,60,64,72,78,90,94,102,107,110],"problem":[3,32,40,92],"of":[4,10,20,113],"estimating":[5],"dynamic":[7],"latent":[8],"states":[9],"an":[11],"intracellular":[12],"multiscale":[13],"stochastic":[14],"reaction":[15],"network":[16],"from":[17],"time-course":[18],"measurements":[19],"fluorescent":[21],"reporters.":[22],"first":[24],"prove":[25],"that":[26,45],"accurate":[27],"solutions":[28],"to":[29,76,83,88,101],"filtering":[31,39,91],"can":[33,69],"be":[34],"constructed":[35],"by":[36,97],"solving":[37],"for":[41,93],"a":[42,50,117],"reduced":[43,103],"model":[44,54,96],"represents":[46],"dynamics":[48],"as":[49],"hybrid":[51],"process.":[52],"The":[53],"reduction":[55],"is":[56],"based":[57],"on":[58],"exploiting":[59],"time-scale":[61],"separations":[62],"in":[63],"original":[65,95],"network,":[66],"and":[67,109],"it":[68],"greatly":[70],"reduce":[71],"computational":[73,111],"effort":[74],"required":[75],"simulate":[77],"dynamics.":[79],"This":[80],"enables":[81],"us":[82],"develop":[84],"efficient":[85],"particle":[86,99],"filters":[87,100],"solve":[89],"applying":[98],"model.":[104],"illustrate":[106],"accuracy":[108],"efficiency":[112],"our":[114],"approach":[115],"using":[116],"numerical":[118],"example.":[119]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
