{"id":"https://openalex.org/W2541503408","doi":"https://doi.org/10.1007/978-3-319-49046-5_44","title":"Need for Most Accurate Discrete Approximations Explains Effectiveness of Statistical Methods Based on Heavy-Tailed Distributions","display_name":"Need for Most Accurate Discrete Approximations Explains Effectiveness of Statistical Methods Based on Heavy-Tailed Distributions","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2541503408","doi":"https://doi.org/10.1007/978-3-319-49046-5_44","mag":"2541503408"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-49046-5_44","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-49046-5_44","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"conference-paper","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/A5058887761","display_name":"Songsak Sriboonchitta","orcid":"https://orcid.org/0000-0002-3511-5452"},"institutions":[{"id":"https://openalex.org/I48076826","display_name":"Chiang Mai University","ror":"https://ror.org/05m2fqn25","country_code":"TH","type":"education","lineage":["https://openalex.org/I48076826"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Songsak Sriboonchitta","raw_affiliation_strings":["Faculty of Economics, Chiang Mai University, Chiang Mai, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Economics, Chiang Mai University, Chiang Mai, Thailand","institution_ids":["https://openalex.org/I48076826"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061275811","display_name":"\u0412\u043b\u0430\u0434\u0438\u043a \u041a\u0440\u0435\u0439\u043d\u043e\u0432\u0438\u0447","orcid":"https://orcid.org/0000-0002-1244-1650"},"institutions":[{"id":"https://openalex.org/I164936912","display_name":"The University of Texas at El Paso","ror":"https://ror.org/04d5vba33","country_code":"US","type":"education","lineage":["https://openalex.org/I164936912"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vladik Kreinovich","raw_affiliation_strings":["University of Texas at El Paso, 500 W. University, El Paso, TX, 79968, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Texas at El Paso, 500 W. University, El Paso, TX, 79968, USA","institution_ids":["https://openalex.org/I164936912"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075920182","display_name":"Olga Kosheleva","orcid":"https://orcid.org/0000-0003-2587-4209"},"institutions":[{"id":"https://openalex.org/I164936912","display_name":"The University of Texas at El Paso","ror":"https://ror.org/04d5vba33","country_code":"US","type":"education","lineage":["https://openalex.org/I164936912"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Olga Kosheleva","raw_affiliation_strings":["University of Texas at El Paso, 500 W. University, El Paso, TX, 79968, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Texas at El Paso, 500 W. University, El Paso, TX, 79968, USA","institution_ids":["https://openalex.org/I164936912"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101955674","display_name":"Hung T. Nguyen","orcid":"https://orcid.org/0000-0002-8564-7529"},"institutions":[{"id":"https://openalex.org/I10052268","display_name":"New Mexico State University","ror":"https://ror.org/00hpz7z43","country_code":"US","type":"education","lineage":["https://openalex.org/I10052268"]},{"id":"https://openalex.org/I48076826","display_name":"Chiang Mai University","ror":"https://ror.org/05m2fqn25","country_code":"TH","type":"education","lineage":["https://openalex.org/I48076826"]}],"countries":["TH","US"],"is_corresponding":false,"raw_author_name":"Hung T. Nguyen","raw_affiliation_strings":["Department of Mathematical Sciences, New Mexico State University, Las Cruces, NM, 88003, USA","Faculty of Economics, Chiang Mai University, Chiang Mai, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematical Sciences, New Mexico State University, Las Cruces, NM, 88003, USA","institution_ids":["https://openalex.org/I10052268"]},{"raw_affiliation_string":"Faculty of Economics, Chiang Mai University, Chiang Mai, Thailand","institution_ids":["https://openalex.org/I48076826"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11819866,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"523","last_page":"531"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9986000061035156,"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/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9986000061035156,"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/T10282","display_name":"Financial Risk and Volatility Modeling","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/2003","display_name":"Finance"},"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/T12261","display_name":"Statistical Mechanics and Entropy","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/heavy-tailed-distribution","display_name":"Heavy-tailed distribution","score":0.756778359413147},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5794066786766052},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5655578970909119},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.5647413730621338},{"id":"https://openalex.org/keywords/probability-distribution","display_name":"Probability distribution","score":0.5594766736030579},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.5310830473899841},{"id":"https://openalex.org/keywords/statistical-distance","display_name":"Statistical distance","score":0.47844934463500977},{"id":"https://openalex.org/keywords/statistical-parameter","display_name":"Statistical parameter","score":0.4642627239227295},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.4475763142108917},{"id":"https://openalex.org/keywords/statistical-power","display_name":"Statistical power","score":0.44349074363708496},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.44291508197784424},{"id":"https://openalex.org/keywords/power-law","display_name":"Power law","score":0.41605156660079956},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3224153518676758},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.21699818968772888},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.14192765951156616},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.09562504291534424},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.0872575044631958},{"id":"https://openalex.org/keywords/quantum-mechanics","display_name":"Quantum mechanics","score":0.07130682468414307}],"concepts":[{"id":"https://openalex.org/C1602530","wikidata":"https://www.wikidata.org/wiki/Q1472677","display_name":"Heavy-tailed distribution","level":3,"score":0.756778359413147},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5794066786766052},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5655578970909119},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.5647413730621338},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.5594766736030579},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.5310830473899841},{"id":"https://openalex.org/C58948655","wikidata":"https://www.wikidata.org/wiki/Q7604392","display_name":"Statistical distance","level":3,"score":0.47844934463500977},{"id":"https://openalex.org/C166921843","wikidata":"https://www.wikidata.org/wiki/Q3776487","display_name":"Statistical parameter","level":2,"score":0.4642627239227295},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.4475763142108917},{"id":"https://openalex.org/C96608239","wikidata":"https://www.wikidata.org/wiki/Q1199823","display_name":"Statistical power","level":2,"score":0.44349074363708496},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.44291508197784424},{"id":"https://openalex.org/C87040749","wikidata":"https://www.wikidata.org/wiki/Q428971","display_name":"Power law","level":2,"score":0.41605156660079956},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3224153518676758},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.21699818968772888},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.14192765951156616},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.09562504291534424},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0872575044631958},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.07130682468414307}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-319-49046-5_44","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-49046-5_44","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.800000011920929,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W261556168","https://openalex.org/W271621420","https://openalex.org/W602946569","https://openalex.org/W614651756","https://openalex.org/W1509562192","https://openalex.org/W1552582326","https://openalex.org/W1598342322","https://openalex.org/W1599184160","https://openalex.org/W1965674781","https://openalex.org/W1978865199","https://openalex.org/W1989959848","https://openalex.org/W1998762983","https://openalex.org/W2009543464","https://openalex.org/W2049978423","https://openalex.org/W2071681435","https://openalex.org/W2076209196","https://openalex.org/W2147903548","https://openalex.org/W2498852811","https://openalex.org/W2502819810","https://openalex.org/W2508888939","https://openalex.org/W2599698349","https://openalex.org/W2672887890","https://openalex.org/W2767544505","https://openalex.org/W2800860906","https://openalex.org/W2808650095","https://openalex.org/W3016130156","https://openalex.org/W3125246470","https://openalex.org/W4229774059","https://openalex.org/W4232701755","https://openalex.org/W4240736275","https://openalex.org/W4296816479","https://openalex.org/W4299551239"],"related_works":["https://openalex.org/W2230780368","https://openalex.org/W3122350374","https://openalex.org/W2541503408","https://openalex.org/W4232263561","https://openalex.org/W3152476845","https://openalex.org/W2086139622","https://openalex.org/W2153145991","https://openalex.org/W4386453745","https://openalex.org/W4311719569","https://openalex.org/W1969763686"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}