{"id":"https://openalex.org/W2971009506","doi":"https://doi.org/10.1007/s11222-020-09957-3","title":"Inference on high-dimensional implicit dynamic models using a guided intermediate resampling filter","display_name":"Inference on high-dimensional implicit dynamic models using a guided intermediate resampling filter","publication_year":2020,"publication_date":"2020-06-26","ids":{"openalex":"https://openalex.org/W2971009506","doi":"https://doi.org/10.1007/s11222-020-09957-3","mag":"2971009506","pmid":"https://pubmed.ncbi.nlm.nih.gov/35664372"},"language":"en","primary_location":{"id":"doi:10.1007/s11222-020-09957-3","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11222-020-09957-3","pdf_url":null,"source":{"id":"https://openalex.org/S5437875","display_name":"Statistics and Computing","issn_l":"0960-3174","issn":["0960-3174","1573-1375"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Statistics and Computing","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","datacite","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1708.08543","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Joonha Park","orcid":"https://orcid.org/0000-0002-4493-7730"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Joonha Park","raw_affiliation_strings":["Boston University, Boston, USA","Boston Univ"],"raw_orcid":"https://orcid.org/0000-0002-4493-7730","affiliations":[{"raw_affiliation_string":"Boston University, Boston, USA","institution_ids":[]},{"raw_affiliation_string":"Boston Univ","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053242255","display_name":"Edward L. Ionides","orcid":"https://orcid.org/0000-0002-4190-0174"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Edward L. Ionides","raw_affiliation_strings":["University of Michigan, Ann Arbor, USA","Department of statistics, University of Michigan, Ann Arbor, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Michigan, Ann Arbor, USA","institution_ids":["https://openalex.org/I27837315"]},{"raw_affiliation_string":"Department of statistics, University of Michigan, Ann Arbor, USA","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2890,"currency":"USD","value_usd":2890},"apc_paid":null,"fwci":0.4063,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.6947825,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"30","issue":"5","first_page":"1497","last_page":"1522"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9628999829292297,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9628999829292297,"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/T10029","display_name":"Climate variability and models","score":0.9435999989509583,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9300000071525574,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.7005324363708496},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.6109799146652222},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5775965452194214},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5269715785980225},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5225757360458374},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.5103680491447449},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.5063942670822144},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4713957607746124},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.46404001116752625},{"id":"https://openalex.org/keywords/ensemble-kalman-filter","display_name":"Ensemble Kalman filter","score":0.4581659436225891},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.3970106840133667},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3555196523666382},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2945687770843506},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.292374849319458},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09584012627601624}],"concepts":[{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.7005324363708496},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.6109799146652222},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5775965452194214},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5269715785980225},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5225757360458374},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.5103680491447449},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.5063942670822144},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4713957607746124},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.46404001116752625},{"id":"https://openalex.org/C79334102","wikidata":"https://www.wikidata.org/wiki/Q3072268","display_name":"Ensemble Kalman filter","level":4,"score":0.4581659436225891},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.3970106840133667},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3555196523666382},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2945687770843506},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.292374849319458},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09584012627601624},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1007/s11222-020-09957-3","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11222-020-09957-3","pdf_url":null,"source":{"id":"https://openalex.org/S5437875","display_name":"Statistics and Computing","issn_l":"0960-3174","issn":["0960-3174","1573-1375"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Statistics and Computing","raw_type":"journal-article"},{"id":"pmid:35664372","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35664372","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Statistics and computing","raw_type":"Journal Article"},{"id":"pmh:oai:arXiv.org:1708.08543","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1708.08543","pdf_url":"https://arxiv.org/pdf/1708.08543","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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:pubmedcentral.nih.gov:9164307","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9164307","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Stat Comput","raw_type":"Text"},{"id":"mag:2971009506","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/1708.08543","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1708.08543","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1708.08543","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1708.08543","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1708.08543","pdf_url":"https://arxiv.org/pdf/1708.08543","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":[{"id":"https://openalex.org/G2126148182","display_name":null,"funder_award_id":"U01-GM110712","funder_id":"https://openalex.org/F4320337354","funder_display_name":"National Institute of General Medical Sciences"},{"id":"https://openalex.org/G2722875964","display_name":null,"funder_award_id":"U54 GM111274","funder_id":"https://openalex.org/F4320337354","funder_display_name":"National Institute of General Medical Sciences"},{"id":"https://openalex.org/G3328771823","display_name":null,"funder_award_id":"1761603","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G3827933414","display_name":"Modeling the Effects of the Environment on Enteric Pathogen Dynamics","funder_award_id":"5u01gm110712-05","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G5133653757","display_name":"Understanding Transmission with Integrated Genetic and Epidemiologic Inference","funder_award_id":"5u54gm111274-05","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G5531801858","display_name":"High-Dimensional Bayesian Computations: The Moreau-Yosida Posterior Approximation","funder_award_id":"1513040","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7229888248","display_name":"Iterated filtering:  New theory, algorithms and applications","funder_award_id":"1308919","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7791135937","display_name":"Collaborative Research: Urban Vector-Borne Disease Transmission Demands Advances in Spatiotemporal Statistical Inference","funder_award_id":"1761603","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337354","display_name":"National Institute of General Medical Sciences","ror":"https://ror.org/04q48ey07"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":89,"referenced_works":["https://openalex.org/W3168937","https://openalex.org/W114923250","https://openalex.org/W277831955","https://openalex.org/W1483307070","https://openalex.org/W1501586228","https://openalex.org/W1513873506","https://openalex.org/W1544551101","https://openalex.org/W1587348082","https://openalex.org/W1598969745","https://openalex.org/W1628268552","https://openalex.org/W1822984620","https://openalex.org/W1828859704","https://openalex.org/W1876120984","https://openalex.org/W1901296138","https://openalex.org/W1917888860","https://openalex.org/W1967573895","https://openalex.org/W1975978197","https://openalex.org/W1980578404","https://openalex.org/W1983212629","https://openalex.org/W1991324737","https://openalex.org/W1993442130","https://openalex.org/W1995053220","https://openalex.org/W1995060260","https://openalex.org/W1995462941","https://openalex.org/W1999689994","https://openalex.org/W2004767122","https://openalex.org/W2006718988","https://openalex.org/W2007272082","https://openalex.org/W2022681226","https://openalex.org/W2029997459","https://openalex.org/W2034956278","https://openalex.org/W2045973738","https://openalex.org/W2055654935","https://openalex.org/W2055936398","https://openalex.org/W2057487175","https://openalex.org/W2066601679","https://openalex.org/W2079075738","https://openalex.org/W2081741802","https://openalex.org/W2085738358","https://openalex.org/W2090415144","https://openalex.org/W2098613108","https://openalex.org/W2098940789","https://openalex.org/W2107871547","https://openalex.org/W2111787305","https://openalex.org/W2112367503","https://openalex.org/W2118557551","https://openalex.org/W2123726866","https://openalex.org/W2124333705","https://openalex.org/W2126736494","https://openalex.org/W2130363011","https://openalex.org/W2131598171","https://openalex.org/W2132565565","https://openalex.org/W2134255235","https://openalex.org/W2139220821","https://openalex.org/W2143784594","https://openalex.org/W2145645825","https://openalex.org/W2147639966","https://openalex.org/W2148927104","https://openalex.org/W2150024051","https://openalex.org/W2150951085","https://openalex.org/W2151729750","https://openalex.org/W2152869421","https://openalex.org/W2153001651","https://openalex.org/W2153611488","https://openalex.org/W2157098139","https://openalex.org/W2160444846","https://openalex.org/W2173190456","https://openalex.org/W2198904917","https://openalex.org/W2244564378","https://openalex.org/W2263113778","https://openalex.org/W2271548160","https://openalex.org/W2344349485","https://openalex.org/W2461760630","https://openalex.org/W2552908123","https://openalex.org/W2586121897","https://openalex.org/W2595744296","https://openalex.org/W2730424406","https://openalex.org/W2773614109","https://openalex.org/W2792452780","https://openalex.org/W2802739963","https://openalex.org/W2888099346","https://openalex.org/W2890622637","https://openalex.org/W2951370905","https://openalex.org/W2963741795","https://openalex.org/W3098845144","https://openalex.org/W3099170626","https://openalex.org/W3100505226","https://openalex.org/W4233487859","https://openalex.org/W6601880777"],"related_works":["https://openalex.org/W3037372288","https://openalex.org/W2117804315","https://openalex.org/W2952680595","https://openalex.org/W2608964940","https://openalex.org/W1829113803","https://openalex.org/W2808333162","https://openalex.org/W3135773817","https://openalex.org/W2919526556","https://openalex.org/W2950122306","https://openalex.org/W2788287650","https://openalex.org/W2060016742","https://openalex.org/W3198406843","https://openalex.org/W3003515798","https://openalex.org/W2474046462","https://openalex.org/W176758818","https://openalex.org/W3017372052","https://openalex.org/W2963989174","https://openalex.org/W2915624045","https://openalex.org/W2838828138","https://openalex.org/W2964239615"],"abstract_inverted_index":null,"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}