{"id":"https://openalex.org/W2946336481","doi":"https://doi.org/10.1109/cdc40024.2019.9029787","title":"Estimating ensemble flows on a hidden Markov chain","display_name":"Estimating ensemble flows on a hidden Markov chain","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W2946336481","doi":"https://doi.org/10.1109/cdc40024.2019.9029787","mag":"2946336481"},"language":"en","primary_location":{"id":"doi:10.1109/cdc40024.2019.9029787","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc40024.2019.9029787","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 58th Conference on Decision and Control (CDC)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1905.09119","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066781188","display_name":"Isabel Haasler","orcid":"https://orcid.org/0000-0002-2484-0181"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Isabel Haasler","raw_affiliation_strings":["Division of Optimization and Systems Theory, KTH Royal Institute of Technology, Stockholm, Sweden"],"affiliations":[{"raw_affiliation_string":"Division of Optimization and Systems Theory, KTH Royal Institute of Technology, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065282168","display_name":"Axel Ringh","orcid":"https://orcid.org/0000-0002-9778-1426"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Axel Ringh","raw_affiliation_strings":["Division of Optimization and Systems Theory, KTH Royal Institute of Technology, Stockholm, Sweden"],"affiliations":[{"raw_affiliation_string":"Division of Optimization and Systems Theory, KTH Royal Institute of Technology, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066940107","display_name":"Yongxin Chen","orcid":"https://orcid.org/0000-0002-1459-6365"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Yongxin Chen","raw_affiliation_strings":["Division of Optimization and Systems Theory, KTH Royal Institute of Technology, Stockholm, Sweden"],"affiliations":[{"raw_affiliation_string":"Division of Optimization and Systems Theory, KTH Royal Institute of Technology, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065730184","display_name":"Johan Karlsson","orcid":"https://orcid.org/0009-0007-3575-6747"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Johan Karlsson","raw_affiliation_strings":["School of Aerospace Engineering, Georgia Institute of Technology, Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"School of Aerospace Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5066781188"],"corresponding_institution_ids":["https://openalex.org/I86987016"],"apc_list":null,"apc_paid":null,"fwci":4.2955,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.95269926,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"2019","issue":null,"first_page":"1331","last_page":"1338"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12056","display_name":"Markov Chains and Monte Carlo Methods","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T12056","display_name":"Markov Chains and Monte Carlo Methods","score":0.9998000264167786,"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"}},{"id":"https://openalex.org/T13187","display_name":"Diffusion and Search Dynamics","score":0.9977999925613403,"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/T11152","display_name":"Stochastic processes and statistical mechanics","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/2610","display_name":"Mathematical Physics"},"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/markov-chain","display_name":"Markov chain","score":0.7552475929260254},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.5971716046333313},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5513326525688171},{"id":"https://openalex.org/keywords/limit","display_name":"Limit (mathematics)","score":0.5058977007865906},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4911205470561981},{"id":"https://openalex.org/keywords/state-space","display_name":"State space","score":0.48874688148498535},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.45845359563827515},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.4478779137134552},{"id":"https://openalex.org/keywords/variable-order-markov-model","display_name":"Variable-order Markov model","score":0.43363362550735474},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.4331488609313965},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.426291286945343},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42481300234794617},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.4115995168685913},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3652072548866272},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19584327936172485},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1338508129119873},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11867475509643555},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.100370854139328},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0822632908821106}],"concepts":[{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.7552475929260254},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.5971716046333313},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5513326525688171},{"id":"https://openalex.org/C151201525","wikidata":"https://www.wikidata.org/wiki/Q177239","display_name":"Limit (mathematics)","level":2,"score":0.5058977007865906},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4911205470561981},{"id":"https://openalex.org/C72434380","wikidata":"https://www.wikidata.org/wiki/Q230930","display_name":"State space","level":2,"score":0.48874688148498535},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.45845359563827515},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.4478779137134552},{"id":"https://openalex.org/C54907487","wikidata":"https://www.wikidata.org/wiki/Q7915688","display_name":"Variable-order Markov model","level":4,"score":0.43363362550735474},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.4331488609313965},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.426291286945343},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42481300234794617},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.4115995168685913},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3652072548866272},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19584327936172485},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1338508129119873},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11867475509643555},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.100370854139328},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0822632908821106},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/cdc40024.2019.9029787","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc40024.2019.9029787","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 58th Conference on Decision and Control (CDC)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1905.09119","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1905.09119","pdf_url":"https://arxiv.org/pdf/1905.09119","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":"mag:3041149116","is_oa":false,"landing_page_url":"https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=202002259531338581","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1905.09119","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1905.09119","pdf_url":"https://arxiv.org/pdf/1905.09119","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":46,"referenced_works":["https://openalex.org/W45882642","https://openalex.org/W385466589","https://openalex.org/W1498429448","https://openalex.org/W1568122762","https://openalex.org/W1967908192","https://openalex.org/W1973494188","https://openalex.org/W1995297713","https://openalex.org/W2000358183","https://openalex.org/W2034681107","https://openalex.org/W2035090260","https://openalex.org/W2036996178","https://openalex.org/W2059120410","https://openalex.org/W2068348289","https://openalex.org/W2081896234","https://openalex.org/W2093135704","https://openalex.org/W2099111195","https://openalex.org/W2118825555","https://openalex.org/W2125838338","https://openalex.org/W2158131535","https://openalex.org/W2160664904","https://openalex.org/W2160920523","https://openalex.org/W2202424484","https://openalex.org/W2478708596","https://openalex.org/W2566109169","https://openalex.org/W2747087552","https://openalex.org/W2798766386","https://openalex.org/W2902889984","https://openalex.org/W2962901877","https://openalex.org/W2963143751","https://openalex.org/W2963170010","https://openalex.org/W2963585585","https://openalex.org/W2963804292","https://openalex.org/W2964269742","https://openalex.org/W3100182186","https://openalex.org/W3106032721","https://openalex.org/W3118804341","https://openalex.org/W4210869902","https://openalex.org/W4240666298","https://openalex.org/W4242209908","https://openalex.org/W4247459375","https://openalex.org/W4295551312","https://openalex.org/W4299907955","https://openalex.org/W6682962330","https://openalex.org/W6703887990","https://openalex.org/W6787949030","https://openalex.org/W6823092086"],"related_works":["https://openalex.org/W1510894296","https://openalex.org/W2134386692","https://openalex.org/W2194396582","https://openalex.org/W2799426416","https://openalex.org/W2566202039","https://openalex.org/W3126873283","https://openalex.org/W2540690809","https://openalex.org/W2393621008","https://openalex.org/W2129435535","https://openalex.org/W2353273130"],"abstract_inverted_index":{"We":[0,84],"propose":[1],"a":[2,16,62,68,78],"new":[3],"framework":[4,92],"to":[5,44,96],"estimate":[6],"the":[7,34,45,56,72,98],"evolution":[8],"of":[9,12,33,55,100],"an":[10,31],"ensemble":[11,57],"indistinguishable":[13,103],"agents":[14],"on":[15],"hidden":[17,49],"Markov":[18,50],"chain":[19,51],"using":[20],"only":[21],"aggregate":[22],"output":[23],"data.":[24],"This":[25],"work":[26],"can":[27,93],"be":[28,94],"viewed":[29],"as":[30],"extension":[32],"recent":[35],"developments":[36],"in":[37,86],"optimal":[38],"mass":[39],"transport":[40],"and":[41,75,102],"Schr\u00f6dinger":[42],"bridges":[43],"finite":[46],"state":[47],"space":[48],"setting.":[52],"The":[53],"flow":[54,99],"is":[58],"estimated":[59],"by":[60],"solving":[61],"maximum":[63],"likelihood":[64],"problem,":[65],"which":[66],"has":[67],"convex":[69],"formulation":[70],"at":[71],"infinite-particle":[73],"limit,":[74],"we":[76],"develop":[77],"fast":[79],"numerical":[80,88],"algorithm":[81],"for":[82],"it.":[83],"illustrate":[85],"two":[87],"examples":[89],"how":[90],"this":[91],"used":[95],"track":[97],"identical":[101],"dynamical":[104],"systems.":[105]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":7}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}