{"id":"https://openalex.org/W2012823783","doi":"https://doi.org/10.1109/ciss.2014.6814110","title":"SCHEME: Stochastically convergent heuristical Expectation Maximization estimation","display_name":"SCHEME: Stochastically convergent heuristical Expectation Maximization estimation","publication_year":2014,"publication_date":"2014-03-01","ids":{"openalex":"https://openalex.org/W2012823783","doi":"https://doi.org/10.1109/ciss.2014.6814110","mag":"2012823783"},"language":"en","primary_location":{"id":"doi:10.1109/ciss.2014.6814110","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ciss.2014.6814110","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 48th Annual Conference on Information Sciences and Systems (CISS)","raw_type":"proceedings-article"},"type":"article","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/A5043985129","display_name":"Michael A. Tope","orcid":null},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael A. Tope","raw_affiliation_strings":["Department of Computer Science and Electrical Engineering, University of Maryland Baltimore County","Department of Computer Science & Electrical Engineering, University of Maryland, Baltimore County, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Electrical Engineering, University of Maryland Baltimore County","institution_ids":["https://openalex.org/I79272384"]},{"raw_affiliation_string":"Department of Computer Science & Electrical Engineering, University of Maryland, Baltimore County, USA","institution_ids":["https://openalex.org/I79272384"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112905332","display_name":"Joel Morris","orcid":null},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joel M. Morris","raw_affiliation_strings":["Department of Computer Science and Electrical Engineering, University of Maryland Baltimore County","Department of Computer Science & Electrical Engineering, University of Maryland, Baltimore County, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Electrical Engineering, University of Maryland Baltimore County","institution_ids":["https://openalex.org/I79272384"]},{"raw_affiliation_string":"Department of Computer Science & Electrical Engineering, University of Maryland, Baltimore County, USA","institution_ids":["https://openalex.org/I79272384"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I79272384"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08615124,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9994000196456909,"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/T10136","display_name":"Statistical Methods and Inference","score":0.9994000196456909,"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/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9986000061035156,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9984999895095825,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.7836730480194092},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.677777111530304},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.6436434388160706},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.5850622653961182},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5443271398544312},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5328398942947388},{"id":"https://openalex.org/keywords/expectation\u2013maximization-algorithm","display_name":"Expectation\u2013maximization algorithm","score":0.4934317171573639},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.44744402170181274},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.4265858829021454},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.42605409026145935},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40329259634017944},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3891168534755707},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.27100783586502075},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12365952134132385}],"concepts":[{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.7836730480194092},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.677777111530304},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.6436434388160706},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.5850622653961182},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5443271398544312},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5328398942947388},{"id":"https://openalex.org/C182081679","wikidata":"https://www.wikidata.org/wiki/Q1275153","display_name":"Expectation\u2013maximization algorithm","level":3,"score":0.4934317171573639},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.44744402170181274},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.4265858829021454},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.42605409026145935},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40329259634017944},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3891168534755707},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.27100783586502075},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12365952134132385},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","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/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ciss.2014.6814110","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ciss.2014.6814110","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 48th Annual Conference on Information Sciences and Systems (CISS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1596828324","https://openalex.org/W2008668767","https://openalex.org/W2049633694","https://openalex.org/W2099111195","https://openalex.org/W2117853077","https://openalex.org/W2150898568","https://openalex.org/W2164690070","https://openalex.org/W2567948266","https://openalex.org/W3016843226","https://openalex.org/W3193262203","https://openalex.org/W6731548788","https://openalex.org/W6799352683"],"related_works":["https://openalex.org/W1976188970","https://openalex.org/W4252706329","https://openalex.org/W2990541822","https://openalex.org/W2014532259","https://openalex.org/W1964091180","https://openalex.org/W1588885902","https://openalex.org/W1965352811","https://openalex.org/W1639225225","https://openalex.org/W2371827284","https://openalex.org/W2124552227"],"abstract_inverted_index":{"This":[0,109],"paper":[1],"introduces":[2],"a":[3,23,78],"modification":[4,30],"to":[5,15,93,100,114],"the":[6,16,34,45,57,65,95,106],"EM":[7],"(Expectation":[8],"Maximization)":[9],"algorithm":[10,110],"potentially":[11],"allowing":[12],"reliable":[13],"convergence":[14,63,67,83],"ML":[17,107],"(Maximum":[18],"Likelihood)":[19],"parameter":[20],"estimate":[21],"for":[22,44,62],"set":[24],"of":[25,48,59,97,105],"previously":[26],"intractable":[27],"problems.":[28,119],"The":[29],"is":[31,55,111],"based":[32],"on":[33],"MCEM":[35],"(Monte":[36],"Carlo":[37],"EM)":[38],"algorithm,":[39],"which":[40],"substitutes":[41],"sample":[42],"averages":[43],"explicit":[46],"calculation":[47],"expectation.":[49],"A":[50],"problem":[51],"with":[52,84],"previous":[53],"algorithms":[54],"that":[56,81],"number":[58,96],"samples":[60,98],"required":[61,99],"and":[64],"generally":[66],"behavior":[68],"was":[69],"uncertain.":[70],"Using":[71],"information":[72],"geometric":[73],"principles,":[74],"we":[75,88],"arrive":[76],"at":[77],"new":[79],"formulation":[80],"ensures":[82],"probability":[85],"one.":[86],"Further,":[87],"begin":[89],"an":[90,102],"investigation":[91],"attempting":[92],"minimize":[94],"obtain":[101],"acceptable":[103],"approximation":[104],"estimate.":[108],"well":[112],"suited":[113],"solve":[115],"numerous":[116],"challenging":[117],"statistical":[118]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}