{"id":"https://openalex.org/W2099862565","doi":"https://doi.org/10.1109/sam.2012.6250563","title":"Ordering for shift-in-mean of Gauss-Markov random fields with dependent observations","display_name":"Ordering for shift-in-mean of Gauss-Markov random fields with dependent observations","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W2099862565","doi":"https://doi.org/10.1109/sam.2012.6250563","mag":"2099862565"},"language":"en","primary_location":{"id":"doi:10.1109/sam.2012.6250563","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sam.2012.6250563","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop (SAM)","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/A5046778622","display_name":"Jiangfan Zhang","orcid":"https://orcid.org/0000-0003-4815-9486"},"institutions":[{"id":"https://openalex.org/I186143895","display_name":"Lehigh University","ror":"https://ror.org/012afjb06","country_code":"US","type":"education","lineage":["https://openalex.org/I186143895"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jiangfan Zhang","raw_affiliation_strings":["Electrical and Computer Engineering, Lehigh University, Bethlehem, PA, USA","Electrical and Computer Engineering; Lehigh University; Bethlehem PA USA"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, Lehigh University, Bethlehem, PA, USA","institution_ids":["https://openalex.org/I186143895"]},{"raw_affiliation_string":"Electrical and Computer Engineering; Lehigh University; Bethlehem PA USA","institution_ids":["https://openalex.org/I186143895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086488925","display_name":"Chuanming Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I186143895","display_name":"Lehigh University","ror":"https://ror.org/012afjb06","country_code":"US","type":"education","lineage":["https://openalex.org/I186143895"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chuanming Wei","raw_affiliation_strings":["Electrical and Computer Engineering, Lehigh University, Bethlehem, PA, USA","Electrical and Computer Engineering; Lehigh University; Bethlehem PA USA"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, Lehigh University, Bethlehem, PA, USA","institution_ids":["https://openalex.org/I186143895"]},{"raw_affiliation_string":"Electrical and Computer Engineering; Lehigh University; Bethlehem PA USA","institution_ids":["https://openalex.org/I186143895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042577942","display_name":"Rick S. Blum","orcid":"https://orcid.org/0000-0002-1024-6771"},"institutions":[{"id":"https://openalex.org/I186143895","display_name":"Lehigh University","ror":"https://ror.org/012afjb06","country_code":"US","type":"education","lineage":["https://openalex.org/I186143895"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rick S. Blum","raw_affiliation_strings":["Electrical and Computer Engineering, Lehigh University, Bethlehem, PA, USA","Electrical and Computer Engineering; Lehigh University; Bethlehem PA USA"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, Lehigh University, Bethlehem, PA, USA","institution_ids":["https://openalex.org/I186143895"]},{"raw_affiliation_string":"Electrical and Computer Engineering; Lehigh University; Bethlehem PA USA","institution_ids":["https://openalex.org/I186143895"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5046778622"],"corresponding_institution_ids":["https://openalex.org/I186143895"],"apc_list":null,"apc_paid":null,"fwci":0.7092,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.73910836,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"17","issue":null,"first_page":"65","last_page":"68"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9990000128746033,"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/T10136","display_name":"Statistical Methods and Inference","score":0.9894000291824341,"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/clique","display_name":"Clique","score":0.8016760349273682},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6740188598632812},{"id":"https://openalex.org/keywords/bounded-function","display_name":"Bounded function","score":0.6113266944885254},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5848733186721802},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.567401111125946},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5128393769264221},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4973733723163605},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.46076416969299316},{"id":"https://openalex.org/keywords/limit","display_name":"Limit (mathematics)","score":0.4508048892021179},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.44835716485977173},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4393066167831421},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43746417760849},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4264991283416748},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3562038540840149},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.2365243136882782},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.09763601422309875}],"concepts":[{"id":"https://openalex.org/C2777035058","wikidata":"https://www.wikidata.org/wiki/Q1662634","display_name":"Clique","level":2,"score":0.8016760349273682},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6740188598632812},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.6113266944885254},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5848733186721802},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.567401111125946},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5128393769264221},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4973733723163605},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.46076416969299316},{"id":"https://openalex.org/C151201525","wikidata":"https://www.wikidata.org/wiki/Q177239","display_name":"Limit (mathematics)","level":2,"score":0.4508048892021179},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.44835716485977173},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4393066167831421},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43746417760849},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4264991283416748},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3562038540840149},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.2365243136882782},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.09763601422309875},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sam.2012.6250563","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sam.2012.6250563","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop (SAM)","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":6,"referenced_works":["https://openalex.org/W2101453243","https://openalex.org/W2109468764","https://openalex.org/W2112694609","https://openalex.org/W2136277139","https://openalex.org/W3133603318","https://openalex.org/W4388323202"],"related_works":["https://openalex.org/W3013085049","https://openalex.org/W1560496689","https://openalex.org/W1992739770","https://openalex.org/W4386900933","https://openalex.org/W2393848756","https://openalex.org/W1660242800","https://openalex.org/W4287123541","https://openalex.org/W3166424422","https://openalex.org/W2163615703","https://openalex.org/W231353634"],"abstract_inverted_index":{"Previous":[0],"work":[1],"on":[2,13,43,79],"ordered":[3],"transmission":[4,8],"approaches":[5],"showed":[6],"significant":[7,187],"savings":[9],"but":[10],"focused":[11],"entirely":[12],"cases":[14,35,80,223],"with":[15,36],"statistically":[16,37],"independent":[17,142],"observations":[18,83],"at":[19,86],"a":[20,44,60,63,87,97,106,130,139,186],"set":[21,88,98,140],"of":[22,52,59,73,89,99,124,141,162,189,198,201,224],"sensor":[23,90],"nodes.":[24],"Here":[25],"we":[26,41,49,182],"take":[27],"the":[28,53,69,82,103,122,125,136,153,160,168,171,199,208],"first":[29],"steps":[30],"toward":[31],"applying":[32],"ordering":[33,151],"to":[34,149,158,167,210],"dependent":[38],"observations.":[39],"While":[40],"focus":[42,78],"particular":[45],"signal":[46],"detection":[47,58],"problem,":[48],"choose":[50],"one":[51],"most":[54],"well":[55,70],"studied":[56],"problems,":[57],"shift-in-mean":[61],"for":[62,207],"multivariate":[64],"Gaussian":[65],"distribution.":[66],"We":[67,101,120,177,203],"employ":[68,150],"developed":[71],"theory":[72],"decomposable":[74],"graphical":[75],"models,":[76],"and":[77,212],"where":[81,170],"are":[84,108,219],"taken":[85],"nodes":[91,104],"which":[92,144,192],"can":[93,115,183],"be":[94,116,175],"grouped":[95],"into":[96],"cliques.":[100,202],"assume":[102],"within":[105],"clique":[107,166,172],"physically":[109],"close,":[110],"so":[111],"that":[112,180],"inner-clique":[113],"communications":[114,163],"considered":[117],"extremely":[118],"inexpensive.":[119],"present":[121,178],"computation":[123],"overall":[126],"likelihood":[127],"ratio":[128],"as":[129],"new":[131],"sum,":[132],"distinctly":[133],"different":[134],"from":[135,164],"sum":[137],"over":[138,152],"variables,":[143],"implies":[145],"it":[146],"is":[147,193],"possible":[148],"cliques":[154],"in":[155,221],"an":[156],"attempt":[157],"limit":[159],"number":[161,200],"each":[165],"place":[169],"data":[173],"will":[174],"combined.":[176],"results":[179,215],"imply":[181],"often":[184],"save":[185],"portion":[188],"these":[190,217],"transmission,":[191],"lower":[194],"bounded":[195],"by":[196],"half":[197],"describe":[204],"necessary":[205],"conditions":[206,218],"result":[209],"hold":[211],"provide":[213],"numerical":[214],"indicating":[216],"satisfied":[220],"many":[222],"practical":[225],"interest.":[226]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
