{"id":"https://openalex.org/W4389814694","doi":"https://doi.org/10.48550/arxiv.2312.08670","title":"Temporal-Spatial Entropy Balancing for Causal Continuous Treatment-Effect Estimation","display_name":"Temporal-Spatial Entropy Balancing for Causal Continuous Treatment-Effect Estimation","publication_year":2023,"publication_date":"2023-12-14","ids":{"openalex":"https://openalex.org/W4389814694","doi":"https://doi.org/10.48550/arxiv.2312.08670"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2312.08670","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2312.08670","pdf_url":"https://arxiv.org/pdf/2312.08670","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":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2312.08670","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086069419","display_name":"Tao Hu","orcid":"https://orcid.org/0000-0002-3293-0881"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Hu, Tao","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101488416","display_name":"Honglong Zhang","orcid":"https://orcid.org/0000-0001-9013-4237"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Honglong","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100403599","display_name":"Zeng Fan","orcid":"https://orcid.org/0009-0008-6549-2823"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zeng, Fan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101326852","display_name":"Min Du","orcid":"https://orcid.org/0009-0009-9806-841X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Du, Min","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101280319","display_name":"XiangKun Du","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Du, XiangKun","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100592845","display_name":"Yue Zheng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zheng, Yue","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022911267","display_name":"Mengran Zhang","orcid":"https://orcid.org/0000-0002-7674-7798"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Quanqi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100942311","display_name":"Dan Yang","orcid":"https://orcid.org/0009-0005-2520-6851"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Mengran","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103456582","display_name":"Jihao Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Dan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Wu, Jihao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Jihao","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5086069419"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12095","display_name":"Vehicle emissions and performance","score":0.984499990940094,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12095","display_name":"Vehicle emissions and performance","score":0.984499990940094,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T10435","display_name":"Environmental Impact and Sustainability","score":0.9837999939918518,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"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/T12617","display_name":"Energy, Environment, and Transportation Policies","score":0.963100016117096,"subfield":{"id":"https://openalex.org/subfields/2105","display_name":"Renewable Energy, Sustainability and the Environment"},"field":{"id":"https://openalex.org/fields/21","display_name":"Energy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6198340654373169},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5621201395988464},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.5252724885940552},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.47158777713775635},{"id":"https://openalex.org/keywords/subsidy","display_name":"Subsidy","score":0.4600316286087036},{"id":"https://openalex.org/keywords/confounding","display_name":"Confounding","score":0.45928525924682617},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.4584164321422577},{"id":"https://openalex.org/keywords/causal-analysis","display_name":"Causal analysis","score":0.4493213891983032},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.415638267993927},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.20473992824554443},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18403184413909912},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.1714487075805664}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6198340654373169},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5621201395988464},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.5252724885940552},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.47158777713775635},{"id":"https://openalex.org/C84265765","wikidata":"https://www.wikidata.org/wiki/Q193219","display_name":"Subsidy","level":2,"score":0.4600316286087036},{"id":"https://openalex.org/C77350462","wikidata":"https://www.wikidata.org/wiki/Q1125472","display_name":"Confounding","level":2,"score":0.45928525924682617},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.4584164321422577},{"id":"https://openalex.org/C2987525970","wikidata":"https://www.wikidata.org/wiki/Q96374569","display_name":"Causal analysis","level":2,"score":0.4493213891983032},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.415638267993927},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.20473992824554443},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18403184413909912},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.1714487075805664},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C34447519","wikidata":"https://www.wikidata.org/wiki/Q179522","display_name":"Market economy","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2312.08670","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2312.08670","pdf_url":"https://arxiv.org/pdf/2312.08670","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":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2312.08670","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2312.08670","pdf_url":null,"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2312.08670","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2312.08670","pdf_url":"https://arxiv.org/pdf/2312.08670","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":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4389814694.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2276539358","https://openalex.org/W4309036932","https://openalex.org/W3083505014","https://openalex.org/W2099588657","https://openalex.org/W2965628777","https://openalex.org/W2384152552","https://openalex.org/W2388987626","https://openalex.org/W2918320789","https://openalex.org/W2364586549","https://openalex.org/W4229537427"],"abstract_inverted_index":{"In":[0,37,170],"the":[1,26,38,65,85,94,119,133,174,178,183,187,200],"field":[2],"of":[3,29,40,67,96,164,186],"intracity":[4,179],"freight":[5,180],"transportation,":[6],"changes":[7],"in":[8,70,84,132,149],"order":[9,33],"volume":[10,34],"are":[11,81],"significantly":[12,192],"influenced":[13],"by":[14],"temporal":[15,72,77],"and":[16,22,73,78,88,98,159,203],"spatial":[17,74,79],"factors.":[18],"When":[19],"building":[20],"subsidy":[21,97,202],"pricing":[23,99,204],"strategies,":[24],"predicting":[25],"causal":[27,42,68,188],"effects":[28,69],"these":[30,103],"strategies":[31],"on":[32,111,118,155],"is":[35],"crucial.":[36],"process":[39],"calculating":[41],"effects,":[43],"confounding":[44,54],"variables":[45,55],"can":[46],"have":[47,166],"an":[48],"impact.":[49],"Traditional":[50],"methods":[51],"to":[52,177,199],"control":[53],"handle":[56],"data":[57],"from":[58],"a":[59,108,127],"holistic":[60],"perspective,":[61],"which":[62,136,165],"cannot":[63],"ensure":[64],"precision":[66,95],"specific":[71],"dimensions.":[75],"However,":[76],"dimensions":[80],"extremely":[82],"critical":[83],"logistics":[86],"field,":[87,182],"this":[89,105,150],"limitation":[90],"may":[91],"directly":[92],"affect":[93],"strategies.":[100,205],"To":[101],"address":[102],"issues,":[104],"study":[106],"proposes":[107],"technique":[109],"based":[110,117],"flexible":[112,120],"temporal-spatial":[113,134],"grid":[114,121],"partitioning.":[115],"Furthermore,":[116],"partitioning":[122],"technique,":[123],"we":[124],"further":[125],"propose":[126],"continuous":[128],"entropy":[129],"balancing":[130],"method":[131,147,176],"domain,":[135],"named":[137],"TS-EBCT":[138,175],"(Temporal-Spatial":[139],"Entropy":[140],"Balancing":[141],"for":[142],"Causal":[143],"Continue":[144],"Treatments).":[145],"The":[146],"proposed":[148],"paper":[151],"has":[152,190],"been":[153,191],"tested":[154],"two":[156,160],"simulation":[157],"datasets":[158],"real":[161],"datasets,":[162],"all":[163],"achieved":[167],"excellent":[168],"performance.":[169],"fact,":[171],"after":[172],"applying":[173],"transportation":[181],"prediction":[184],"accuracy":[185],"effect":[189],"improved.":[193],"It":[194],"brings":[195],"good":[196],"business":[197],"benefits":[198],"company's":[201]},"counts_by_year":[],"updated_date":"2026-03-11T14:59:36.786465","created_date":"2025-10-10T00:00:00"}