{"id":"https://openalex.org/W4311410973","doi":"https://doi.org/10.48550/arxiv.2212.05260","title":"Examining marginal properness in the external validation of survival models with squared and logarithmic losses","display_name":"Examining marginal properness in the external validation of survival models with squared and logarithmic losses","publication_year":2022,"publication_date":"2022-12-10","ids":{"openalex":"https://openalex.org/W4311410973","doi":"https://doi.org/10.48550/arxiv.2212.05260"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2212.05260","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2212.05260","pdf_url":"https://arxiv.org/pdf/2212.05260","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2212.05260","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020399176","display_name":"Raphael Sonabend","orcid":"https://orcid.org/0000-0001-9225-4654"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Sonabend, Raphael","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Zobolas, John","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zobolas, John","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Bin, Riccardo Be","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bin, Riccardo Be","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Kopper, Philipp","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kopper, Philipp","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Burk, Lukas","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Burk, Lukas","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Bender, Andreas","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bender, Andreas","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5020399176"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9871000051498413,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9871000051498413,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9815999865531921,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.964900016784668,"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/scoring-rule","display_name":"Scoring rule","score":0.7408705353736877},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.6276744604110718},{"id":"https://openalex.org/keywords/brier-score","display_name":"Brier score","score":0.6262460350990295},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6209033727645874},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6136716604232788},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5811073780059814},{"id":"https://openalex.org/keywords/scoring-system","display_name":"Scoring system","score":0.46498674154281616},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3966981768608093},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3786258101463318},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3651968836784363},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3445851802825928},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.12430128455162048}],"concepts":[{"id":"https://openalex.org/C63002673","wikidata":"https://www.wikidata.org/wiki/Q2260590","display_name":"Scoring rule","level":2,"score":0.7408705353736877},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.6276744604110718},{"id":"https://openalex.org/C35405484","wikidata":"https://www.wikidata.org/wiki/Q4967066","display_name":"Brier score","level":2,"score":0.6262460350990295},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6209033727645874},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6136716604232788},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5811073780059814},{"id":"https://openalex.org/C2984538763","wikidata":"https://www.wikidata.org/wiki/Q2260590","display_name":"Scoring system","level":2,"score":0.46498674154281616},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3966981768608093},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3786258101463318},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3651968836784363},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3445851802825928},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.12430128455162048},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C141071460","wikidata":"https://www.wikidata.org/wiki/Q40821","display_name":"Surgery","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2212.05260","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2212.05260","pdf_url":"https://arxiv.org/pdf/2212.05260","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2212.05260","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2212.05260","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":"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:arXiv.org:2212.05260","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2212.05260","pdf_url":"https://arxiv.org/pdf/2212.05260","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"score":0.7699999809265137,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3181843888","https://openalex.org/W3102204725","https://openalex.org/W2099972513","https://openalex.org/W4318621097","https://openalex.org/W2903885436","https://openalex.org/W1581762597","https://openalex.org/W4288257010","https://openalex.org/W2969793176","https://openalex.org/W2975408230","https://openalex.org/W2073521408"],"abstract_inverted_index":{"Scoring":[0],"rules":[1,33,102],"promote":[2],"rational":[3],"and":[4,13,30,43,53,63,96,141,166,179],"honest":[5,180],"decision-making,":[6],"which":[7],"is":[8,172],"important":[9,16],"for":[10,17,34,137],"model":[11],"evaluation":[12,181],"becoming":[14],"increasingly":[15],"automated":[18,150],"procedures":[19],"such":[20,134,169],"as":[21,99,168],"`AutoML'.":[22],"In":[23],"this":[24,72],"paper":[25],"we":[26,135,153],"survey":[27],"common":[28],"squared":[29],"logarithmic":[31],"scoring":[32,87,101],"survival":[35,86,183],"analysis,":[36],"with":[37],"a":[38,48,77],"focus":[39],"on":[40],"their":[41],"theoretical":[42],"empirical":[44],"properness.":[45],"We":[46,74],"introduce":[47],"marginal":[49],"definition":[50],"of":[51,80,146,163,177],"properness":[52],"show":[54],"that":[55,82,92],"both":[56,93,138],"the":[57,64,94,139],"Integrated":[58],"Survival":[59],"Brier":[60],"Score":[61],"(ISBS)":[62],"Right-Censored":[65],"Log-Likelihood":[66],"(RCLL)":[67],"are":[68],"theoretically":[69],"improper":[70],"under":[71],"definition.":[73],"also":[75],"investigate":[76],"new":[78],"class":[79],"losses":[81,160],"may":[83],"inform":[84],"future":[85],"rules.":[88],"Simulation":[89],"experiments":[90],"reveal":[91],"ISBS":[95,114,142],"RCLL":[97,106,140],"behave":[98],"proper":[100],"in":[103,143,149,157,182],"practice.":[104],"The":[105],"showed":[107],"no":[108],"violations":[109,119],"across":[110],"all":[111],"settings,":[112],"while":[113],"exhibited":[115],"only":[116],"minor,":[117],"negligible":[118],"at":[120],"extremely":[121],"small":[122],"sample":[123],"sizes,":[124],"suggesting":[125],"one":[126],"can":[127],"trust":[128],"results":[129],"from":[130],"historical":[131],"experiments.":[132],"As":[133],"advocate":[136],"external":[144],"validation":[145],"models,":[147],"including":[148,161],"procedures.":[151],"However,":[152],"note":[154],"practical":[155],"challenges":[156],"estimating":[158],"these":[159],"estimation":[162],"censoring":[164],"distributions":[165],"densities;":[167],"further":[170],"research":[171],"required":[173],"to":[174],"advance":[175],"development":[176],"robust":[178],"analysis.":[184]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2022-12-26T00:00:00"}