乐胖代购免代理版

{"id":"https://openalex.org/W4360614439","doi":"https://doi.org/10.3390/sym15040781","title":"Prediction Intervals: A Geometric View","display_name":"Prediction Intervals: A Geometric View","publication_year":2023,"publication_date":"2023-03-23","ids":{"openalex":"https://openalex.org/W4360614439","doi":"https://doi.org/10.3390/sym15040781"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym15040781","pdf_url":"https://www.mdpi.com/2073-8994/15/4/781/pdf?version=1679559630","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"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},"type":"article","type_crossref":"journal-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2073-8994/15/4/781/pdf?version=1679559630","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5015510338","display_name":"Evgeny Nikulchev","orcid":"https://orcid.org/0000-0003-1254-9132"},"institutions":[{"id":"https://openalex.org/I4210135186","display_name":"MIREA - Russian Technological University","ror":"https://ror.org/04qrtgy16","country_code":"RU","type":"education","lineage":["https://openalex.org/I4210135186"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Evgeny Nikulchev","raw_affiliation_strings":["Department of Digital Data Processing Technologies, MIREA-Russian Technological University, Moscow 119454, Russia"],"affiliations":[{"raw_affiliation_string":"Department of Digital Data Processing Technologies, MIREA-Russian Technological University, Moscow 119454, Russia","institution_ids":["https://openalex.org/I4210135186"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083256520","display_name":"Alexander Chervyakov","orcid":"https://orcid.org/0000-0002-5638-8361"},"institutions":[],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Alexander Chervyakov","raw_affiliation_strings":["Federal Treasury, Ministry of Finance of the Russian Federation, Moscow 101000, Russia"],"affiliations":[{"raw_affiliation_string":"Federal Treasury, Ministry of Finance of the Russian Federation, Moscow 101000, Russia","institution_ids":[]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5015510338"],"corresponding_institution_ids":["https://openalex.org/I4210135186"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165,"provenance":"doaj"},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165,"provenance":"doaj"},"fwci":1.038,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.999985,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":87,"max":90},"biblio":{"volume":"15","issue":"4","first_page":"781","last_page":"781"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9975,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T11052","display_name":"Energy Load and Power Forecasting","score":0.9975,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T11490","display_name":"Hydrological Forecasting Using AI","score":0.9922,"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/T13487","display_name":"Statistical and numerical algorithms","score":0.9653,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"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/interval-arithmetic","display_name":"Interval arithmetic","score":0.5027683},{"id":"https://openalex.org/keywords/prediction-interval","display_name":"Prediction interval","score":0.49129695},{"id":"https://openalex.org/keywords/point-estimation","display_name":"Point estimation","score":0.4358272}],"concepts":[{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5952357},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.5723269},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.52153444},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.51267135},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5048209},{"id":"https://openalex.org/C191252586","wikidata":"https://www.wikidata.org/wiki/Q1671453","display_name":"Interval arithmetic","level":3,"score":0.5027683},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49939728},{"id":"https://openalex.org/C103402496","wikidata":"https://www.wikidata.org/wiki/Q1106171","display_name":"Prediction interval","level":2,"score":0.49129695},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.48791048},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.46813142},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.46291405},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.44346696},{"id":"https://openalex.org/C41426520","wikidata":"https://www.wikidata.org/wiki/Q1192065","display_name":"Point estimation","level":2,"score":0.4358272},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.424258},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40227494},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3739234},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.23111412},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.09573537},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.08271316},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym15040781","pdf_url":"https://www.mdpi.com/2073-8994/15/4/781/pdf?version=1679559630","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"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}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym15040781","pdf_url":"https://www.mdpi.com/2073-8994/15/4/781/pdf?version=1679559630","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"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},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":70,"referenced_works":["https://openalex.org/W1175502716","https://openalex.org/W1452761747","https://openalex.org/W1553802819","https://openalex.org/W1985505861","https://openalex.org/W2000246015","https://openalex.org/W2029497022","https://openalex.org/W2068928057","https://openalex.org/W2114471530","https://openalex.org/W2132477882","https://openalex.org/W2132669462","https://openalex.org/W2155816288","https://openalex.org/W2275088575","https://openalex.org/W2336750633","https://openalex.org/W2344513874","https://openalex.org/W2392689491","https://openalex.org/W2406083008","https://openalex.org/W2518065370","https://openalex.org/W2554462191","https://openalex.org/W2744288031","https://openalex.org/W2768891253","https://openalex.org/W2790964730","https://openalex.org/W2791111686","https://openalex.org/W2799310842","https://openalex.org/W2807414627","https://openalex.org/W2810878542","https://openalex.org/W2821843609","https://openalex.org/W2879959793","https://openalex.org/W2896864326","https://openalex.org/W2898512397","https://openalex.org/W2898519272","https://openalex.org/W2908199484","https://openalex.org/W2922089800","https://openalex.org/W2937440203","https://openalex.org/W2938336646","https://openalex.org/W2950895399","https://openalex.org/W2951112005","https://openalex.org/W2953271199","https://openalex.org/W2969708557","https://openalex.org/W2971724044","https://openalex.org/W2979430336","https://openalex.org/W2989725176","https://openalex.org/W2997292607","https://openalex.org/W2997857369","https://openalex.org/W3004335670","https://openalex.org/W3005209402","https://openalex.org/W3007066689","https://openalex.org/W3016659228","https://openalex.org/W3033827217","https://openalex.org/W3047106696","https://openalex.org/W3092554970","https://openalex.org/W3093877613","https://openalex.org/W3094504384","https://openalex.org/W3097294131","https://openalex.org/W3097771961","https://openalex.org/W3102212230","https://openalex.org/W3107324520","https://openalex.org/W3117534238","https://openalex.org/W3119051340","https://openalex.org/W3132782787","https://openalex.org/W3157054611","https://openalex.org/W3159163469","https://openalex.org/W3168160837","https://openalex.org/W3193688194","https://openalex.org/W4210605514","https://openalex.org/W4221160873","https://openalex.org/W4293065219","https://openalex.org/W4293254229","https://openalex.org/W4296021822","https://openalex.org/W4310525416","https://openalex.org/W4323669935"],"related_works":["https://openalex.org/W4285295794","https://openalex.org/W4213384165","https://openalex.org/W2998804369","https://openalex.org/W2990487117","https://openalex.org/W2531534085","https://openalex.org/W2520934858","https://openalex.org/W2377262226","https://openalex.org/W2098412892","https://openalex.org/W2012882356","https://openalex.org/W109635080"],"abstract_inverted_index":{"This":[0,118,191],"article":[1,192],"provides":[2],"a":[3,34,57,60,71,106,109,169,176,194,202],"review":[4],"of":[5,11,18,59,79,91,94,104,126,142,148,158,168,181,184,197],"the":[6,9,16,40,74,84,92,95,99,133,140,145,155,179,185,198],"approaches":[7],"to":[8,52,132,152,178],"construction":[10],"prediction":[12,21,32,47,85,199],"intervals.":[13],"To":[14],"increase":[15],"reliability":[17],"prediction,":[19,72],"point":[20],"methods":[22],"are":[23],"replaced":[24],"by":[25,113],"intervals":[26,163,167,200],"for":[27,45,136,187],"many":[28],"aims.":[29],"The":[30,102],"interval":[31,143,189],"generates":[33],"pair":[35],"as":[36,70,164,175],"future":[37],"values,":[38],"including":[39],"upper":[41,75],"and":[42,62,76,201],"lower":[43,77],"bounds":[44,78],"each":[46],"point.":[48],"That":[49],"is,":[50,112],"according":[51],"historical":[53],"data,":[54],"which":[55],"include":[56],"graph":[58],"continuous":[61],"discrete":[63],"function,":[64],"two":[65],"functions":[66],"will":[67],"be":[68],"obtained":[69],"i.e.,":[73],"estimation.":[80],"In":[81,139],"this":[82],"case,":[83],"boundaries":[86,100],"should":[87],"provide":[88],"guaranteed":[89],"probability":[90],"location":[93],"true":[96],"values":[97],"inside":[98],"found.":[101],"task":[103],"building":[105],"model":[107],"from":[108,154],"time":[110,134],"series":[111,135],"its":[114],"very":[115],"nature,":[116],"incorrect.":[117],"means":[119],"that":[120],"there":[121],"is":[122,130,205],"an":[123],"infinite":[124],"set":[125],"equations":[127],"whose":[128],"solution":[129,177],"close":[131],"machine":[137],"learning.":[138],"case":[141],"use,":[144],"inverse":[146],"problem":[147],"dynamics":[149],"allows":[150],"us":[151],"choose":[153],"entire":[156],"range":[157],"modeling":[159],"methods,":[160],"using":[161],"confidence":[162],"solutions,":[165],"or":[166,172],"given":[170],"width,":[171],"those":[173],"chosen":[174],"problems":[180],"multi-criteria":[182],"optimization":[183],"criteria":[186],"evaluating":[188],"solutions.":[190],"considers":[193],"geometric":[195],"view":[196],"new":[203],"approach":[204],"given.":[206]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4360614439","counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3}],"updated_date":"2025-01-07T14:02:14.303994","created_date":"2023-03-24"}