{"id":"https://openalex.org/W96184201","doi":null,"title":"The choices of weights in the iterative convex minorant algorithm","display_name":"The choices of weights in the iterative convex minorant algorithm","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W96184201","mag":"96184201"},"language":"en","primary_location":{"id":"pmh:oai:tudelft.nl:uuid:5a111157-1a92-4176-9c8e-0b848feb7c30","doi":null,"is_oa":true,"landing_page_url":"http://resolver.tudelft.nl/uuid:5a111157-1a92-4176-9c8e-0b848feb7c30","pdf_url":"http://resolver.tudelft.nl/uuid:5a111157-1a92-4176-9c8e-0b848feb7c30","source":{"id":"https://openalex.org/S4306400906","display_name":"Research Repository (Delft University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I98358874","host_organization_name":"Delft University of Technology","host_organization_lineage":["https://openalex.org/I98358874"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"bachelor thesis"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://resolver.tudelft.nl/uuid:5a111157-1a92-4176-9c8e-0b848feb7c30","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002834925","display_name":"Faculteit Elektrotechniek","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Faculteit Elektrotechniek","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5002834925"],"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/T11871","display_name":"Advanced Statistical Methods and Models","score":0.4336000084877014,"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/T11871","display_name":"Advanced Statistical Methods and Models","score":0.4336000084877014,"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/T10136","display_name":"Statistical Methods and Inference","score":0.20399999618530273,"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/T13487","display_name":"Statistical and numerical algorithms","score":0.1477999985218048,"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/isotonic-regression","display_name":"isotonic regression","score":0.9089999794960022},{"id":"https://openalex.org/keywords/convex-regression","display_name":"convex regression","score":0.9629999995231628},{"id":"https://openalex.org/keywords/nonparametric-regression","display_name":"nonparametric regression","score":0.7009999752044678},{"id":"https://openalex.org/keywords/shape-constrained-estimation","display_name":"shape-constrained estimation","score":0.796999990940094},{"id":"https://openalex.org/keywords/weight-selection","display_name":"weight selection","score":0.6610000133514404},{"id":"https://openalex.org/keywords/monotonicity-constraints","display_name":"monotonicity constraints","score":0.6039999723434448},{"id":"https://openalex.org/keywords/simulation-study","display_name":"simulation study","score":0.800000011920929}],"concepts":[{"id":"https://openalex.org/C17418463","wikidata":"https://www.wikidata.org/wiki/Q3455874","display_name":"Isotonic regression","level":3,"score":0.8811362981796265},{"id":"https://openalex.org/C72169020","wikidata":"https://www.wikidata.org/wiki/Q194404","display_name":"Monotonic function","level":2,"score":0.682350754737854},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.6055263876914978},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6010752320289612},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5820841789245605},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.49854493141174316},{"id":"https://openalex.org/C145446738","wikidata":"https://www.wikidata.org/wiki/Q319913","display_name":"Convex function","level":3,"score":0.49583324790000916},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.46133387088775635},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.45009925961494446},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4280916750431061},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.4107539653778076},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3480835556983948},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.161932110786438},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.08934736251831055},{"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:tudelft.nl:uuid:5a111157-1a92-4176-9c8e-0b848feb7c30","doi":null,"is_oa":true,"landing_page_url":"http://resolver.tudelft.nl/uuid:5a111157-1a92-4176-9c8e-0b848feb7c30","pdf_url":"http://resolver.tudelft.nl/uuid:5a111157-1a92-4176-9c8e-0b848feb7c30","source":{"id":"https://openalex.org/S4306400906","display_name":"Research Repository (Delft University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I98358874","host_organization_name":"Delft University of Technology","host_organization_lineage":["https://openalex.org/I98358874"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"bachelor thesis"},{"id":"mag:2187891912","doi":null,"is_oa":false,"landing_page_url":"https://repository.tudelft.nl/assets/uuid:5a111157-1a92-4176-9c8e-0b848feb7c30/BSc_thesis_Smalbil_The-iterative-convex-minorant-algorithm.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},{"id":"mag:96184201","doi":null,"is_oa":false,"landing_page_url":"https://repository.tudelft.nl/islandora/object/uuid%3A5a111157-1a92-4176-9c8e-0b848feb7c30","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:tudelft.nl:uuid:5a111157-1a92-4176-9c8e-0b848feb7c30","doi":null,"is_oa":true,"landing_page_url":"http://resolver.tudelft.nl/uuid:5a111157-1a92-4176-9c8e-0b848feb7c30","pdf_url":"http://resolver.tudelft.nl/uuid:5a111157-1a92-4176-9c8e-0b848feb7c30","source":{"id":"https://openalex.org/S4306400906","display_name":"Research Repository (Delft University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I98358874","host_organization_name":"Delft University of Technology","host_organization_lineage":["https://openalex.org/I98358874"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"bachelor thesis"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W96184201.pdf","grobid_xml":"https://content.openalex.org/works/W96184201.grobid-xml"},"referenced_works_count":6,"referenced_works":["https://openalex.org/W1550022419","https://openalex.org/W1965755064","https://openalex.org/W1996051474","https://openalex.org/W2041295679","https://openalex.org/W2281756567","https://openalex.org/W2795929191"],"related_works":["https://openalex.org/W1485521887","https://openalex.org/W2041295679","https://openalex.org/W2187891912","https://openalex.org/W2060948038","https://openalex.org/W4229908782","https://openalex.org/W2754246971","https://openalex.org/W2018730160","https://openalex.org/W2059251619","https://openalex.org/W2810943841","https://openalex.org/W2104133276"],"abstract_inverted_index":{"In":[0,54,64],"statistics":[1],"one":[2],"often":[3],"encounters":[4],"the":[5,23,55,69,77,81,92,95],"problem":[6,84],"of":[7,22,49,71,94,97],"estimating":[8],"a":[9,13,33,50,87],"function":[10,24],"based":[11],"on":[12],"given":[14],"dataset.":[15],"Sometimes":[16],"shape":[17],"properties":[18],"such":[19],"as":[20],"monotonicity":[21],"are":[25],"known.":[26],"This":[27],"property":[28],"can":[29,42,60],"be":[30,43,61],"used":[31,44],"in":[32],"non-parametric":[34],"regression":[35,52,74,83],"model.":[36],"The":[37],"iterative":[38],"convex":[39,51,82],"minorant(ICM)":[40],"algorithm":[41,57],"to":[45,90],"compute":[46],"an":[47],"estimate":[48],"function.":[53],"ICM":[56,78],"positive":[58],"weights":[59],"chosen":[62],"arbitrarily.":[63],"this":[65],"thesis":[66],"we":[67],"describe":[68,80],"(solution":[70],"the)":[72],"isotonic":[73],"problem,":[75],"explain":[76],"algorithm,":[79],"and":[85],"present":[86],"simulation":[88],"study":[89],"assess":[91],"effect":[93],"choice":[96],"weights.":[98]},"counts_by_year":[],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}
