{"id":"https://openalex.org/W2339166386","doi":"https://doi.org/10.1007/978-3-662-01131-7_63","title":"Induction of Graphical Models from Incomplete Samples","display_name":"Induction of Graphical Models from Incomplete Samples","publication_year":1998,"publication_date":"1998-01-01","ids":{"openalex":"https://openalex.org/W2339166386","doi":"https://doi.org/10.1007/978-3-662-01131-7_63","mag":"2339166386"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-662-01131-7_63","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-662-01131-7_63","pdf_url":null,"source":{"id":"https://openalex.org/S4306506691","display_name":"COMPSTAT","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"COMPSTAT","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/A5003627453","display_name":"Paola Sebastiani","orcid":"https://orcid.org/0000-0001-6419-1545"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Paola Sebastiani","raw_affiliation_strings":["Department of Actuarial Science and Statistics, City University, UK"],"affiliations":[{"raw_affiliation_string":"Department of Actuarial Science and Statistics, City University, UK","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054056109","display_name":"Marco Ramoni","orcid":null},"institutions":[{"id":"https://openalex.org/I4210096066","display_name":"Open Knowledge (United Kingdom)","ror":"https://ror.org/00thqng93","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210096066"]},{"id":"https://openalex.org/I204136569","display_name":"The Open University","ror":"https://ror.org/05mzfcs16","country_code":"GB","type":"education","lineage":["https://openalex.org/I204136569"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Marco Ramoni","raw_affiliation_strings":["Knowledge Media Institute, The Open University, UK"],"affiliations":[{"raw_affiliation_string":"Knowledge Media Institute, The Open University, UK","institution_ids":["https://openalex.org/I4210096066","https://openalex.org/I204136569"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5003627453"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.25099352,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"449","last_page":"454"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9998000264167786,"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/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9729999899864197,"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":0.9592000246047974,"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/missing-data","display_name":"Missing data","score":0.6880839467048645},{"id":"https://openalex.org/keywords/gibbs-sampling","display_name":"Gibbs sampling","score":0.6636159420013428},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.6275355815887451},{"id":"https://openalex.org/keywords/graphical-model","display_name":"Graphical model","score":0.5596647262573242},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5445806980133057},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.49304696917533875},{"id":"https://openalex.org/keywords/rate-of-convergence","display_name":"Rate of convergence","score":0.49048182368278503},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.43800705671310425},{"id":"https://openalex.org/keywords/current","display_name":"Current (fluid)","score":0.4198967218399048},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.36379480361938477},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3573101758956909},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24243640899658203},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.20711886882781982},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.05911090970039368}],"concepts":[{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.6880839467048645},{"id":"https://openalex.org/C158424031","wikidata":"https://www.wikidata.org/wiki/Q1191905","display_name":"Gibbs sampling","level":3,"score":0.6636159420013428},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.6275355815887451},{"id":"https://openalex.org/C155846161","wikidata":"https://www.wikidata.org/wiki/Q1143367","display_name":"Graphical model","level":2,"score":0.5596647262573242},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5445806980133057},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.49304696917533875},{"id":"https://openalex.org/C57869625","wikidata":"https://www.wikidata.org/wiki/Q1783502","display_name":"Rate of convergence","level":3,"score":0.49048182368278503},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.43800705671310425},{"id":"https://openalex.org/C148043351","wikidata":"https://www.wikidata.org/wiki/Q4456944","display_name":"Current (fluid)","level":2,"score":0.4198967218399048},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.36379480361938477},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3573101758956909},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24243640899658203},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.20711886882781982},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.05911090970039368},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-662-01131-7_63","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-662-01131-7_63","pdf_url":null,"source":{"id":"https://openalex.org/S4306506691","display_name":"COMPSTAT","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"COMPSTAT","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.5}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1754776789","https://openalex.org/W2008906462","https://openalex.org/W2020999234","https://openalex.org/W2044758663","https://openalex.org/W2049633694","https://openalex.org/W2167826316","https://openalex.org/W2326945647","https://openalex.org/W2911854988","https://openalex.org/W4236354166","https://openalex.org/W4388289857","https://openalex.org/W6721667826","https://openalex.org/W7000852851"],"related_works":["https://openalex.org/W4380150146","https://openalex.org/W3024870410","https://openalex.org/W2735486587","https://openalex.org/W4298156761","https://openalex.org/W2267956107","https://openalex.org/W2077436998","https://openalex.org/W2963145051","https://openalex.org/W2622480976","https://openalex.org/W4388320078","https://openalex.org/W2408847736"],"abstract_inverted_index":{"Current":[0],"methods":[1],"to":[2],"estimate":[3],"conditional":[4],"probabilities":[5],"from":[6],"incomplete":[7],"data":[8,31,52],"rely":[9],"on":[10],"iterative":[11],"algorithms,":[12],"such":[13],"as":[14],"the":[15,49,73],"EM":[16],"algorithm":[17],"and":[18,28,44,64,66],"Gibbs":[19],"Sampling,":[20],"which,":[21],"although":[22],"very":[23],"reliable,":[24],"pose":[25,59],"convergence":[26,62],"problems":[27],"assume":[29],"that":[30,51],"are":[32,53],"missing":[33,54,76],"at":[34,55],"random.":[35],"This":[36],"paper":[37],"describes":[38],"a":[39,68],"deterministic":[40],"method,":[41],"called":[42],"Bound":[43],"Collapse":[45],"(BC),":[46],"which":[47],"relaxes":[48],"assumption":[50],"random,":[56],"does":[57],"not":[58],"problem":[60],"of":[61,72,75],"rate":[63],"detection,":[65],"has":[67],"computational":[69],"cost":[70],"independent":[71],"number":[74],"data.":[77]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}