{"id":"https://openalex.org/W4309311065","doi":"https://doi.org/10.3390/e24111660","title":"Variable Selection of Spatial Logistic Autoregressive Model with Linear Constraints","display_name":"Variable Selection of Spatial Logistic Autoregressive Model with Linear Constraints","publication_year":2022,"publication_date":"2022-11-15","ids":{"openalex":"https://openalex.org/W4309311065","doi":"https://doi.org/10.3390/e24111660","pmid":"https://pubmed.ncbi.nlm.nih.gov/36421516"},"language":"en","primary_location":{"id":"doi:10.3390/e24111660","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e24111660","pdf_url":"https://www.mdpi.com/1099-4300/24/11/1660/pdf?version=1668502461","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1099-4300/24/11/1660/pdf?version=1668502461","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100583281","display_name":"Yunquan Song","orcid":"https://orcid.org/0000-0002-4816-8588"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yunquan Song","raw_affiliation_strings":["School of Science, China University of Petroleum, Qingdao 266580, China"],"affiliations":[{"raw_affiliation_string":"School of Science, China University of Petroleum, Qingdao 266580, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084544030","display_name":"Yuqi Su","orcid":null},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuqi Su","raw_affiliation_strings":["School of Science, China University of Petroleum, Qingdao 266580, China"],"affiliations":[{"raw_affiliation_string":"School of Science, China University of Petroleum, Qingdao 266580, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114058545","display_name":"Zhijian Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhijian Wang","raw_affiliation_strings":["School of Science, China University of Petroleum, Qingdao 266580, China"],"affiliations":[{"raw_affiliation_string":"School of Science, China University of Petroleum, Qingdao 266580, China","institution_ids":["https://openalex.org/I4210162190"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100583281"],"corresponding_institution_ids":["https://openalex.org/I4210162190"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.28345411,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"24","issue":"11","first_page":"1660","last_page":"1660"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11911","display_name":"Spatial and Panel Data Analysis","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11911","display_name":"Spatial and Panel Data Analysis","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11014","display_name":"Regional Economics and Spatial Analysis","score":0.9883000254631042,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10226","display_name":"Land Use and Ecosystem Services","score":0.9778000116348267,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.866328239440918},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.6399911642074585},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.5876182317733765},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5431134104728699},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5164125561714172},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.5105365514755249},{"id":"https://openalex.org/keywords/model-selection","display_name":"Model selection","score":0.5096971988677979},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4837236702442169},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.4601576328277588},{"id":"https://openalex.org/keywords/star-model","display_name":"STAR model","score":0.44490909576416016},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.43593576550483704},{"id":"https://openalex.org/keywords/spatial-dependence","display_name":"Spatial dependence","score":0.43350130319595337},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.41679179668426514},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3304298520088196},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31052857637405396},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21022853255271912},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.19444876909255981},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.17877349257469177},{"id":"https://openalex.org/keywords/autoregressive-integrated-moving-average","display_name":"Autoregressive integrated moving average","score":0.08786675333976746}],"concepts":[{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.866328239440918},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.6399911642074585},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.5876182317733765},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5431134104728699},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5164125561714172},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.5105365514755249},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.5096971988677979},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4837236702442169},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.4601576328277588},{"id":"https://openalex.org/C194657046","wikidata":"https://www.wikidata.org/wiki/Q7394685","display_name":"STAR model","level":4,"score":0.44490909576416016},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.43593576550483704},{"id":"https://openalex.org/C138695830","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial dependence","level":2,"score":0.43350130319595337},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.41679179668426514},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3304298520088196},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31052857637405396},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21022853255271912},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.19444876909255981},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.17877349257469177},{"id":"https://openalex.org/C24338571","wikidata":"https://www.wikidata.org/wiki/Q2566298","display_name":"Autoregressive integrated moving average","level":3,"score":0.08786675333976746},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/e24111660","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e24111660","pdf_url":"https://www.mdpi.com/1099-4300/24/11/1660/pdf?version=1668502461","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},{"id":"pmid:36421516","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36421516","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":"Entropy (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:cb984a04e15244e5b4bdca6d1fb328c5","is_oa":true,"landing_page_url":"https://doaj.org/article/cb984a04e15244e5b4bdca6d1fb328c5","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy, Vol 24, Iss 11, p 1660 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1099-4300/24/11/1660/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/e24111660","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy; Volume 24; Issue 11; Pages: 1660","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:9689031","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9689031","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/e24111660","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e24111660","pdf_url":"https://www.mdpi.com/1099-4300/24/11/1660/pdf?version=1668502461","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6600000262260437,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4309311065.pdf","grobid_xml":"https://content.openalex.org/works/W4309311065.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W1502338185","https://openalex.org/W1541504294","https://openalex.org/W1550998176","https://openalex.org/W1857384207","https://openalex.org/W1965125844","https://openalex.org/W1974744834","https://openalex.org/W1981145803","https://openalex.org/W1999058847","https://openalex.org/W2028226037","https://openalex.org/W2054640142","https://openalex.org/W2074682976","https://openalex.org/W2135046866","https://openalex.org/W2153553798","https://openalex.org/W2168175751","https://openalex.org/W2291705716","https://openalex.org/W2790267535","https://openalex.org/W2804868497","https://openalex.org/W2907419483","https://openalex.org/W2953637251","https://openalex.org/W2954483373","https://openalex.org/W3006417040","https://openalex.org/W3038679623","https://openalex.org/W3089507321","https://openalex.org/W3098306969","https://openalex.org/W3169248834","https://openalex.org/W3176934640","https://openalex.org/W4234127413","https://openalex.org/W4301651410","https://openalex.org/W6757884432","https://openalex.org/W6765206195"],"related_works":["https://openalex.org/W2439807930","https://openalex.org/W2009692134","https://openalex.org/W1972271943","https://openalex.org/W2019155478","https://openalex.org/W2024529895","https://openalex.org/W2168175994","https://openalex.org/W1902630399","https://openalex.org/W2120434453","https://openalex.org/W200497649","https://openalex.org/W4200338758"],"abstract_inverted_index":{"In":[0,74],"recent":[1],"years,":[2],"spatial":[3,29,39,45,48,65,110],"data":[4,19],"widely":[5],"exist":[6],"in":[7,44,114],"various":[8],"fields":[9],"such":[10],"as":[11,83],"finance,":[12],"geology,":[13],"environment,":[14],"and":[15,95,153],"natural":[16],"science.":[17],"These":[18],"collected":[20],"by":[21],"many":[22,75],"scholars":[23],"often":[24],"have":[25],"geographical":[26],"characteristics.":[27],"The":[28,47,141],"autoregressive":[30,50,112],"model":[31,51,57,113,123],"is":[32],"a":[33,100],"general":[34],"method":[35,103,137,146,170],"to":[36,88,116,130,171],"describe":[37],"the":[38,53,64,86,90,108,118,122,132,145,155],"correlations":[40],"among":[41],"observation":[42],"units":[43],"econometrics.":[46],"logistic":[49,55,111],"augments":[52],"conventional":[54],"regression":[56],"with":[58,104],"an":[59,164],"extra":[60],"network":[61],"structure":[62],"when":[63],"response":[66],"variables":[67,152,161],"are":[68,128],"discrete,":[69],"which":[70],"enhances":[71],"classification":[72],"precision.":[73],"application":[76],"fields,":[77],"prior":[78,119],"knowledge":[79],"can":[80,147],"be":[81],"formulated":[82],"constraints":[84,106],"on":[85],"parameters":[87],"improve":[89],"effectiveness":[91],"of":[92,134,159],"variable":[93,101],"selection":[94,102],"estimation.":[96],"This":[97],"paper":[98],"proposes":[99],"linear":[105],"for":[107],"high-dimensional":[109],"order":[115],"integrate":[117],"information":[120],"into":[121],"selection.":[124],"Monte":[125],"Carlo":[126],"experiments":[127],"provided":[129],"analyze":[131],"performance":[133],"our":[135,169],"proposed":[136],"under":[138],"finite":[139],"samples.":[140],"results":[142],"show":[143],"that":[144],"effectively":[148],"screen":[149],"out":[150],"insignificant":[151],"give":[154],"corresponding":[156],"coefficient":[157],"estimates":[158],"significant":[160],"simultaneously.":[162],"As":[163],"empirical":[165],"illustration,":[166],"we":[167],"apply":[168],"land":[172],"area":[173],"data.":[174]},"counts_by_year":[],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}