{"id":"https://openalex.org/W1965962563","doi":"https://doi.org/10.1007/978-3-642-14049-5_20","title":"On Nonparametric Predictive Inference for Ordinal Data","display_name":"On Nonparametric Predictive Inference for Ordinal Data","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W1965962563","doi":"https://doi.org/10.1007/978-3-642-14049-5_20","mag":"1965962563"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-642-14049-5_20","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-14049-5_20","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":"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/A5068921097","display_name":"Frank P. A. Coolen","orcid":"https://orcid.org/0000-0002-8861-4298"},"institutions":[{"id":"https://openalex.org/I190082696","display_name":"Durham University","ror":"https://ror.org/01v29qb04","country_code":"GB","type":"education","lineage":["https://openalex.org/I190082696"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Frank P. A. Coolen","raw_affiliation_strings":["Department of Mathematical Sciences, Durham University, Durham, DH1 3LE, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematical Sciences, Durham University, Durham, DH1 3LE, UK","institution_ids":["https://openalex.org/I190082696"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038742311","display_name":"Pauline Coolen\u2010Schrijner","orcid":null},"institutions":[{"id":"https://openalex.org/I190082696","display_name":"Durham University","ror":"https://ror.org/01v29qb04","country_code":"GB","type":"education","lineage":["https://openalex.org/I190082696"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Pauline Coolen-Schrijner","raw_affiliation_strings":["Department of Mathematical Sciences, Durham University, Durham, DH1 3LE, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematical Sciences, Durham University, Durham, DH1 3LE, UK","institution_ids":["https://openalex.org/I190082696"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069838226","display_name":"Tahani Coolen\u2010Maturi","orcid":"https://orcid.org/0000-0002-0229-2671"},"institutions":[{"id":"https://openalex.org/I190082696","display_name":"Durham University","ror":"https://ror.org/01v29qb04","country_code":"GB","type":"education","lineage":["https://openalex.org/I190082696"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Tahani A. Maturi","raw_affiliation_strings":["Department of Mathematical Sciences, Durham University, Durham, DH1 3LE, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematical Sciences, Durham University, Durham, DH1 3LE, UK","institution_ids":["https://openalex.org/I190082696"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":1.5926,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.88992731,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"188","last_page":"197"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9933000206947327,"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":0.9933000206947327,"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":0.9848999977111816,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9805999994277954,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/categorical-variable","display_name":"Categorical variable","score":0.8776161670684814},{"id":"https://openalex.org/keywords/frequentist-inference","display_name":"Frequentist inference","score":0.8441802263259888},{"id":"https://openalex.org/keywords/ordinal-data","display_name":"Ordinal data","score":0.8323065042495728},{"id":"https://openalex.org/keywords/ordinal-regression","display_name":"Ordinal regression","score":0.6888700127601624},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6409100294113159},{"id":"https://openalex.org/keywords/predictive-inference","display_name":"Predictive inference","score":0.6275400519371033},{"id":"https://openalex.org/keywords/nonparametric-statistics","display_name":"Nonparametric statistics","score":0.6234912872314453},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5794886946678162},{"id":"https://openalex.org/keywords/latent-variable","display_name":"Latent variable","score":0.5335223078727722},{"id":"https://openalex.org/keywords/statistical-inference","display_name":"Statistical inference","score":0.4798112213611603},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4518893361091614},{"id":"https://openalex.org/keywords/ordinal-optimization","display_name":"Ordinal optimization","score":0.42733651399612427},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4270954430103302},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37527307868003845},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3423030972480774},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2855602502822876},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27504074573516846},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.19453227519989014},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.17779341340065002}],"concepts":[{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.8776161670684814},{"id":"https://openalex.org/C162376815","wikidata":"https://www.wikidata.org/wiki/Q2158281","display_name":"Frequentist inference","level":4,"score":0.8441802263259888},{"id":"https://openalex.org/C85461838","wikidata":"https://www.wikidata.org/wiki/Q7100785","display_name":"Ordinal data","level":2,"score":0.8323065042495728},{"id":"https://openalex.org/C110313322","wikidata":"https://www.wikidata.org/wiki/Q7100793","display_name":"Ordinal regression","level":2,"score":0.6888700127601624},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6409100294113159},{"id":"https://openalex.org/C917703","wikidata":"https://www.wikidata.org/wiki/Q7239668","display_name":"Predictive inference","level":5,"score":0.6275400519371033},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.6234912872314453},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5794886946678162},{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.5335223078727722},{"id":"https://openalex.org/C134261354","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical inference","level":2,"score":0.4798112213611603},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4518893361091614},{"id":"https://openalex.org/C81386100","wikidata":"https://www.wikidata.org/wiki/Q7100792","display_name":"Ordinal optimization","level":3,"score":0.42733651399612427},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4270954430103302},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37527307868003845},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3423030972480774},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2855602502822876},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27504074573516846},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.19453227519989014},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.17779341340065002},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-642-14049-5_20","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-14049-5_20","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":[{"score":0.4000000059604645,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1494902407","https://openalex.org/W1968293352","https://openalex.org/W1969259650","https://openalex.org/W1976608763","https://openalex.org/W1998061202","https://openalex.org/W2020053923","https://openalex.org/W2024836977","https://openalex.org/W2044122951","https://openalex.org/W2065341759","https://openalex.org/W2065792337","https://openalex.org/W2075087125","https://openalex.org/W2076785619","https://openalex.org/W2104761564","https://openalex.org/W2154338158","https://openalex.org/W2172298389","https://openalex.org/W2314867714","https://openalex.org/W2491249576","https://openalex.org/W2797148637","https://openalex.org/W4210427261","https://openalex.org/W4235600225","https://openalex.org/W4301347335"],"related_works":["https://openalex.org/W2058716166","https://openalex.org/W2525848170","https://openalex.org/W2023060082","https://openalex.org/W4300104397","https://openalex.org/W4236496007","https://openalex.org/W2050956826","https://openalex.org/W3021328243","https://openalex.org/W2798701209","https://openalex.org/W2237498897","https://openalex.org/W66181126"],"abstract_inverted_index":null,"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}