{"id":"https://openalex.org/W2881825355","doi":"https://doi.org/10.1080/00401706.2019.1630009","title":"Bayesian State Space Modeling of Physical Processes in Industrial Hygiene","display_name":"Bayesian State Space Modeling of Physical Processes in Industrial Hygiene","publication_year":2019,"publication_date":"2019-06-26","ids":{"openalex":"https://openalex.org/W2881825355","doi":"https://doi.org/10.1080/00401706.2019.1630009","mag":"2881825355","pmid":"https://pubmed.ncbi.nlm.nih.gov/32499665"},"language":"en","primary_location":{"id":"doi:10.1080/00401706.2019.1630009","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00401706.2019.1630009","pdf_url":null,"source":{"id":"https://openalex.org/S985303","display_name":"Technometrics","issn_l":"0040-1706","issn":["0040-1706","1537-2723"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Technometrics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","datacite","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7271698","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5041650471","display_name":"Nada Abdalla","orcid":null},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nada Abdalla","raw_affiliation_strings":["Department of Biostatistics, University of California-Los Angeles, Los Angeles, CA;"],"affiliations":[{"raw_affiliation_string":"Department of Biostatistics, University of California-Los Angeles, Los Angeles, CA;","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069620117","display_name":"Sudipto Banerjee","orcid":"https://orcid.org/0000-0002-2239-208X"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sudipto Banerjee","raw_affiliation_strings":["Department of Biostatistics, University of California-Los Angeles, Los Angeles, CA;"],"affiliations":[{"raw_affiliation_string":"Department of Biostatistics, University of California-Los Angeles, Los Angeles, CA;","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044027939","display_name":"Gurumurthy Ramachandran","orcid":"https://orcid.org/0000-0001-9869-284X"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gurumurthy Ramachandran","raw_affiliation_strings":["Department of Environmental Health and Engineering, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD;"],"affiliations":[{"raw_affiliation_string":"Department of Environmental Health and Engineering, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD;","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073341190","display_name":"Susan Arnold","orcid":"https://orcid.org/0000-0002-1465-3761"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Susan Arnold","raw_affiliation_strings":["Division of Environmental Health Sciences, School of Public Health, University of Minnesota, Minneapolis, MN"],"affiliations":[{"raw_affiliation_string":"Division of Environmental Health Sciences, School of Public Health, University of Minnesota, Minneapolis, MN","institution_ids":["https://openalex.org/I130238516"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5069620117"],"corresponding_institution_ids":["https://openalex.org/I161318765"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.00421339,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"62","issue":"2","first_page":"147","last_page":"160"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11890","display_name":"Scientific Measurement and Uncertainty Evaluation","score":0.9796000123023987,"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/T11890","display_name":"Scientific Measurement and Uncertainty Evaluation","score":0.9796000123023987,"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/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9772999882698059,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9480999708175659,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6289125680923462},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.5992160439491272},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5794168710708618},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.540042519569397},{"id":"https://openalex.org/keywords/discretization","display_name":"Discretization","score":0.5396589636802673},{"id":"https://openalex.org/keywords/physical-system","display_name":"Physical system","score":0.5101871490478516},{"id":"https://openalex.org/keywords/state-space","display_name":"State space","score":0.5039393305778503},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.469154953956604},{"id":"https://openalex.org/keywords/physical-law","display_name":"Physical law","score":0.45421919226646423},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.44610562920570374},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.430541068315506},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4287338852882385},{"id":"https://openalex.org/keywords/state-space-representation","display_name":"State-space representation","score":0.4233912229537964},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3862650394439697},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3305070698261261},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27039796113967896},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.21893751621246338}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6289125680923462},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.5992160439491272},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5794168710708618},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.540042519569397},{"id":"https://openalex.org/C73000952","wikidata":"https://www.wikidata.org/wiki/Q17007827","display_name":"Discretization","level":2,"score":0.5396589636802673},{"id":"https://openalex.org/C116672817","wikidata":"https://www.wikidata.org/wiki/Q1454986","display_name":"Physical system","level":2,"score":0.5101871490478516},{"id":"https://openalex.org/C72434380","wikidata":"https://www.wikidata.org/wiki/Q230930","display_name":"State space","level":2,"score":0.5039393305778503},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.469154953956604},{"id":"https://openalex.org/C194583477","wikidata":"https://www.wikidata.org/wiki/Q408891","display_name":"Physical law","level":2,"score":0.45421919226646423},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.44610562920570374},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.430541068315506},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4287338852882385},{"id":"https://openalex.org/C52918065","wikidata":"https://www.wikidata.org/wiki/Q230945","display_name":"State-space representation","level":2,"score":0.4233912229537964},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3862650394439697},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3305070698261261},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27039796113967896},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.21893751621246338},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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}],"mesh":[],"locations_count":8,"locations":[{"id":"doi:10.1080/00401706.2019.1630009","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00401706.2019.1630009","pdf_url":null,"source":{"id":"https://openalex.org/S985303","display_name":"Technometrics","issn_l":"0040-1706","issn":["0040-1706","1537-2723"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Technometrics","raw_type":"journal-article"},{"id":"pmid:32499665","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32499665","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":"Technometrics : a journal of statistics for the physical, chemical, and engineering sciences","raw_type":null},{"id":"pmh:ark:/13030/qt8n7895tp","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},{"id":"pmh:oai:escholarship.org/ark:/13030/qt820036bc","is_oa":false,"landing_page_url":"https://escholarship.org/uc/item/820036bc","pdf_url":null,"source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"article"},{"id":"pmh:oai:europepmc.org:6685804","is_oa":false,"landing_page_url":"http://europepmc.org/pmc/articles/PMC7271698","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:7271698","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7271698","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Technometrics","raw_type":"Text"},{"id":"pmh:qt820036bc","is_oa":false,"landing_page_url":"http://www.escholarship.org/uc/item/820036bc","pdf_url":null,"source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Abdalla, Nada; Banerjee, Sudipto; Ramachandran, Gurumurthy; & Arnold, Susan. (2018). Bayesian State Space Modeling of PhysicalProcesses in Industrial Hygiene. Technometrics. UCLA: Biostatistics. Retrieved from: http://www.escholarship.org/uc/item/820036bc","raw_type":"article"},{"id":"doi:10.6084/m9.figshare.8326616.v1","is_oa":true,"landing_page_url":"https://doi.org/10.6084/m9.figshare.8326616.v1","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:7271698","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7271698","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Technometrics","raw_type":"Text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W623233975","https://openalex.org/W655473902","https://openalex.org/W1827431809","https://openalex.org/W2030597423","https://openalex.org/W2031332288","https://openalex.org/W2038875690","https://openalex.org/W2087039354","https://openalex.org/W2100435549","https://openalex.org/W2108486794","https://openalex.org/W2127874106","https://openalex.org/W2135887591","https://openalex.org/W2147608134","https://openalex.org/W2157108959","https://openalex.org/W2503406530","https://openalex.org/W2529859909","https://openalex.org/W2560068110","https://openalex.org/W2610349137","https://openalex.org/W2955976066","https://openalex.org/W4248681815"],"related_works":["https://openalex.org/W2579634771","https://openalex.org/W1560664277","https://openalex.org/W2756401664","https://openalex.org/W3013517953","https://openalex.org/W1765957141","https://openalex.org/W3037664319","https://openalex.org/W2338837772","https://openalex.org/W1496710458","https://openalex.org/W1538101308","https://openalex.org/W1627116927"],"abstract_inverted_index":{"Exposure":[0],"assessment":[1],"models":[2,5,67,73,156],"are":[3,35,41,166],"deterministic":[4],"derived":[6],"from":[7,77],"physical-chemical":[8],"laws.":[9],"In":[10,23,45,60],"real":[11],"workplace":[12],"settings,":[13],"chemical":[14],"concentration":[15],"measurements":[16,79],"can":[17,116],"be":[18,117],"noisy":[19],"and":[20,32,57,74,80,102,129,133,146],"indirectly":[21],"measured.":[22],"addition,":[24],"inference":[25,56,130],"on":[26,144],"important":[27],"parameters":[28],"such":[29],"as":[30],"generation":[31],"ventilation":[33],"rates":[34],"usually":[36],"of":[37,138],"interest":[38],"since":[39],"they":[40],"difficult":[42],"to":[43,108],"obtain.":[44],"this":[46,164],"article,":[47],"we":[48,62,106],"outline":[49],"a":[50,88,110],"flexible":[51],"Bayesian":[52,64],"framework":[53],"for":[54,126,163],"parameter":[55,127],"exposure":[58,155],"prediction.":[59],"particular,":[61],"devise":[63],"state":[65,113],"space":[66],"by":[68],"discretizing":[69],"the":[70,99,103,139],"differential":[71],"equation":[72],"incorporating":[75],"information":[76],"observed":[78],"expert":[81],"prior":[82],"knowledge.":[83],"At":[84],"each":[85],"time":[86],"point,":[87],"new":[89],"measurement":[90],"is":[91,142],"available":[92,104,167],"that":[93],"contains":[94],"some":[95,152],"noise,":[96],"so":[97],"using":[98],"physical":[100,159],"model":[101],"measurements,":[105],"try":[107],"obtain":[109],"more":[111],"accurate":[112],"estimate,":[114],"which":[115],"called":[118],"filtering.":[119],"We":[120,150],"consider":[121,151],"Monte":[122],"Carlo":[123],"sampling":[124],"methods":[125,141],"estimation":[128],"under":[131],"nonlinear":[132],"non-Gaussian":[134],"assumptions.":[135],"The":[136],"performance":[137],"different":[140,158],"studied":[143],"computer-simulated":[145],"controlled":[147],"laboratory-generated":[148],"data.":[149],"commonly":[153],"used":[154],"representing":[157],"hypotheses.":[160],"Supplementary":[161],"materials":[162],"article":[165],"online.":[168]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}