{"id":"https://openalex.org/W2889077595","doi":"https://doi.org/10.1109/ssp.2018.8450701","title":"Hierarchical Bayesian MCMC Estimation of Airport Operations Counts","display_name":"Hierarchical Bayesian MCMC Estimation of Airport Operations Counts","publication_year":2018,"publication_date":"2018-06-01","ids":{"openalex":"https://openalex.org/W2889077595","doi":"https://doi.org/10.1109/ssp.2018.8450701","mag":"2889077595"},"language":"en","primary_location":{"id":"doi:10.1109/ssp.2018.8450701","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssp.2018.8450701","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Statistical Signal Processing Workshop (SSP)","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/A5040781530","display_name":"John H. Mott","orcid":"https://orcid.org/0000-0002-2087-3971"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"John H. Mott","raw_affiliation_strings":["Purdue University"],"affiliations":[{"raw_affiliation_string":"Purdue University","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5040781530"],"corresponding_institution_ids":["https://openalex.org/I219193219"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09159694,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"228","last_page":"232"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9973999857902527,"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/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9973999857902527,"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/T11489","display_name":"Air Traffic Management and Optimization","score":0.9911999702453613,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.982699990272522,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/aviation","display_name":"Aviation","score":0.7315287590026855},{"id":"https://openalex.org/keywords/extrapolation","display_name":"Extrapolation","score":0.618230938911438},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.5872712731361389},{"id":"https://openalex.org/keywords/general-aviation","display_name":"General aviation","score":0.5795767903327942},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.519143283367157},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.47519218921661377},{"id":"https://openalex.org/keywords/poisson-distribution","display_name":"Poisson distribution","score":0.47035956382751465},{"id":"https://openalex.org/keywords/air-traffic-control","display_name":"Air traffic control","score":0.45992550253868103},{"id":"https://openalex.org/keywords/aeronautics","display_name":"Aeronautics","score":0.43931344151496887},{"id":"https://openalex.org/keywords/commercial-aviation","display_name":"Commercial aviation","score":0.4383019506931305},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.40601256489753723},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.32561102509498596},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.30150723457336426},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.25378334522247314},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12495142221450806},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.07607966661453247}],"concepts":[{"id":"https://openalex.org/C74448152","wikidata":"https://www.wikidata.org/wiki/Q765633","display_name":"Aviation","level":2,"score":0.7315287590026855},{"id":"https://openalex.org/C132459708","wikidata":"https://www.wikidata.org/wiki/Q744069","display_name":"Extrapolation","level":2,"score":0.618230938911438},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.5872712731361389},{"id":"https://openalex.org/C2986287813","wikidata":"https://www.wikidata.org/wiki/Q1571929","display_name":"General aviation","level":3,"score":0.5795767903327942},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.519143283367157},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.47519218921661377},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.47035956382751465},{"id":"https://openalex.org/C166961238","wikidata":"https://www.wikidata.org/wiki/Q221395","display_name":"Air traffic control","level":2,"score":0.45992550253868103},{"id":"https://openalex.org/C178802073","wikidata":"https://www.wikidata.org/wiki/Q8421","display_name":"Aeronautics","level":1,"score":0.43931344151496887},{"id":"https://openalex.org/C2779017403","wikidata":"https://www.wikidata.org/wiki/Q9640723","display_name":"Commercial aviation","level":3,"score":0.4383019506931305},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.40601256489753723},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.32561102509498596},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.30150723457336426},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.25378334522247314},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12495142221450806},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.07607966661453247},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ssp.2018.8450701","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssp.2018.8450701","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Statistical Signal Processing Workshop (SSP)","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":11,"referenced_works":["https://openalex.org/W286349338","https://openalex.org/W1556469942","https://openalex.org/W2008640468","https://openalex.org/W2036493968","https://openalex.org/W2489166770","https://openalex.org/W2587806386","https://openalex.org/W2618234929","https://openalex.org/W3106333376","https://openalex.org/W4285719527","https://openalex.org/W6610376151","https://openalex.org/W6738360825"],"related_works":["https://openalex.org/W2516846072","https://openalex.org/W230449719","https://openalex.org/W856330342","https://openalex.org/W2413905311","https://openalex.org/W1529283187","https://openalex.org/W38809900","https://openalex.org/W3034670576","https://openalex.org/W2257586199","https://openalex.org/W2499332982","https://openalex.org/W4312498094"],"abstract_inverted_index":{"Accurate":[0],"counts":[1,143],"of":[2,21,51,103,161],"aircraft":[3,146],"operations":[4,66,69,142],"at":[5,70,163],"unmonitored":[6],"or":[7,58,82],"partially-monitored":[8],"general":[9,41,165],"aviation":[10,42,166],"airports":[11,43,54,71],"are":[12,94],"important":[13],"due":[14],"to":[15,64,98,157],"their":[16],"role":[17],"in":[18,37,44,100,134],"the":[19,29,45,101,152],"allocation":[20],"funds":[22],"for":[23,113],"airport":[24,167],"development":[25],"and":[26,40,85,154],"improvement.":[27],"While":[28],"Federal":[30],"Aviation":[31],"Administration":[32],"annually":[33],"invests":[34],"approximately":[35],"$1B":[36],"small":[38,116],"commercial":[39],"United":[46],"States,":[47],"fewer":[48],"than":[49],"270":[50],"these":[52],"2,950":[53],"have":[55,108],"either":[56],"full-":[57],"part-time":[59],"air":[60],"traffic":[61],"personnel":[62,74],"available":[63],"register":[65],"counts.":[67],"Aircraft":[68],"with":[72,115,125,136,169],"limited":[73],"may":[75],"be":[76],"counted":[77],"using":[78],"temporary":[79],"acoustic,":[80],"pneumatic,":[81],"video":[83],"devices,":[84],"observations":[86],"from":[87],"contract":[88],"staff.":[89],"The":[90,106],"related":[91],"sample":[92,117],"sizes":[93,118],"inherently":[95],"small,":[96],"leading":[97],"inaccuracies":[99],"extrapolation":[102],"long-term":[104],"totals.":[105],"authors":[107],"developed":[109,150],"an":[110,159,170],"estimation":[111],"procedure":[112,131],"use":[114],"that":[119,140],"employs":[120],"a":[121,126,137,164,175],"Bayesian":[122],"hierarchical":[123],"model":[124],"Poisson":[127],"likelihood":[128],"function.":[129],"This":[130],"is":[132,155],"used":[133],"conjunction":[135],"counting":[138],"device":[139],"registers":[141],"based":[144],"on":[145],"transponder":[147],"signals":[148],"(also":[149],"by":[151],"authors),":[153],"shown":[156],"achieve":[158],"accuracy":[160],"2.88%":[162],"staffed":[168],"FAA":[171],"control":[172],"tower":[173],"over":[174],"one-month":[176],"period.":[177]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
