{"id":"https://openalex.org/W4304789267","doi":"https://doi.org/10.1007/978-3-031-18461-1_36","title":"Resampling-Free Bootstrap Inference for\u00a0Quantiles","display_name":"Resampling-Free Bootstrap Inference for\u00a0Quantiles","publication_year":2022,"publication_date":"2022-10-12","ids":{"openalex":"https://openalex.org/W4304789267","doi":"https://doi.org/10.1007/978-3-031-18461-1_36"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-031-18461-1_36","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-18461-1_36","pdf_url":null,"source":{"id":"https://openalex.org/S4210169156","display_name":"Lecture notes in networks and systems","issn_l":"2367-3370","issn":["2367-3370","2367-3389"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319972","host_organization_name":"Springer International Publishing","host_organization_lineage":["https://openalex.org/P4310319972","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer International Publishing","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Networks and Systems","raw_type":"book-chapter"},"type":"book-chapter","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/A5035192290","display_name":"M\u00e5rten Schultzberg","orcid":"https://orcid.org/0000-0002-1260-7737"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"M\u00e5rten Schultzberg","raw_affiliation_strings":["Spotify, Stockholm, Sweden"],"affiliations":[{"raw_affiliation_string":"Spotify, Stockholm, Sweden","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066105375","display_name":"Sebastian Ankargren","orcid":"https://orcid.org/0000-0003-4415-8734"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sebastian Ankargren","raw_affiliation_strings":["Spotify, Stockholm, Sweden"],"affiliations":[{"raw_affiliation_string":"Spotify, Stockholm, Sweden","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5035192290"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3553,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.84932071,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"548","last_page":"562"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9973999857902527,"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"}},"topics":[{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9973999857902527,"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"}},{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9933000206947327,"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/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9915000200271606,"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/quantile","display_name":"Quantile","score":0.9729093313217163},{"id":"https://openalex.org/keywords/resampling","display_name":"Resampling","score":0.8095572590827942},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.7977733612060547},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.7201820611953735},{"id":"https://openalex.org/keywords/poisson-distribution","display_name":"Poisson distribution","score":0.5538326501846313},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.5131426453590393},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5089273452758789},{"id":"https://openalex.org/keywords/confidence-interval","display_name":"Confidence interval","score":0.45643627643585205},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.4489903450012207},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3718819320201874},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20936548709869385}],"concepts":[{"id":"https://openalex.org/C118671147","wikidata":"https://www.wikidata.org/wiki/Q578714","display_name":"Quantile","level":2,"score":0.9729093313217163},{"id":"https://openalex.org/C150921843","wikidata":"https://www.wikidata.org/wiki/Q1170431","display_name":"Resampling","level":2,"score":0.8095572590827942},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7977733612060547},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7201820611953735},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.5538326501846313},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5131426453590393},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5089273452758789},{"id":"https://openalex.org/C44249647","wikidata":"https://www.wikidata.org/wiki/Q208498","display_name":"Confidence interval","level":2,"score":0.45643627643585205},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.4489903450012207},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3718819320201874},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20936548709869385}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-031-18461-1_36","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-18461-1_36","pdf_url":null,"source":{"id":"https://openalex.org/S4210169156","display_name":"Lecture notes in networks and systems","issn_l":"2367-3370","issn":["2367-3370","2367-3389"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319972","host_organization_name":"Springer International Publishing","host_organization_lineage":["https://openalex.org/P4310319972","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer International Publishing","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Networks and Systems","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1970929042","https://openalex.org/W1975889129","https://openalex.org/W2031526854","https://openalex.org/W2040305989","https://openalex.org/W2047489298","https://openalex.org/W2107318672","https://openalex.org/W2117897510","https://openalex.org/W2120575449","https://openalex.org/W2146774335","https://openalex.org/W2173213060","https://openalex.org/W2339343749","https://openalex.org/W2403035479","https://openalex.org/W4253871110","https://openalex.org/W6600213211","https://openalex.org/W6603139312"],"related_works":["https://openalex.org/W4226530109","https://openalex.org/W4304789267","https://openalex.org/W2525669318","https://openalex.org/W2025186831","https://openalex.org/W2072162965","https://openalex.org/W2130725393","https://openalex.org/W4200167157","https://openalex.org/W3135104130","https://openalex.org/W4247844853","https://openalex.org/W2985633004"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
