{"id":"https://openalex.org/W2074757413","doi":"https://doi.org/10.1109/isit.2014.6875159","title":"Data-driven weak universal redundancy","display_name":"Data-driven weak universal redundancy","publication_year":2014,"publication_date":"2014-06-01","ids":{"openalex":"https://openalex.org/W2074757413","doi":"https://doi.org/10.1109/isit.2014.6875159","mag":"2074757413"},"language":"en","primary_location":{"id":"doi:10.1109/isit.2014.6875159","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2014.6875159","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Symposium on Information Theory","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/A5030506196","display_name":"Narayana Santhanam","orcid":"https://orcid.org/0000-0001-6515-6311"},"institutions":[{"id":"https://openalex.org/I117965899","display_name":"University of Hawai\u02bbi at M\u0101noa","ror":"https://ror.org/01wspgy28","country_code":"US","type":"education","lineage":["https://openalex.org/I117965899"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Narayana Santhanam","raw_affiliation_strings":["University of Hawaii, Manoa","University of Hawaii at M\u00e3noa, Honolulu, HI, USA"],"affiliations":[{"raw_affiliation_string":"University of Hawaii, Manoa","institution_ids":["https://openalex.org/I117965899"]},{"raw_affiliation_string":"University of Hawaii at M\u00e3noa, Honolulu, HI, USA","institution_ids":["https://openalex.org/I117965899"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105217114","display_name":"Venkat Anantharam","orcid":null},"institutions":[{"id":"https://openalex.org/I134446601","display_name":"Berkeley College","ror":"https://ror.org/02xewxa75","country_code":"US","type":"education","lineage":["https://openalex.org/I134446601"]},{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Venkat Anantharam","raw_affiliation_strings":["UC Berkeley","UC Berkeley, Berkeley, CA, USA"],"affiliations":[{"raw_affiliation_string":"UC Berkeley","institution_ids":["https://openalex.org/I134446601","https://openalex.org/I95457486"]},{"raw_affiliation_string":"UC Berkeley, Berkeley, CA, USA","institution_ids":["https://openalex.org/I134446601","https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035033141","display_name":"Aleksander Kavcic","orcid":null},"institutions":[{"id":"https://openalex.org/I117965899","display_name":"University of Hawai\u02bbi at M\u0101noa","ror":"https://ror.org/01wspgy28","country_code":"US","type":"education","lineage":["https://openalex.org/I117965899"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aleksander Kavcic","raw_affiliation_strings":["University of Hawaii, Manoa","University of Hawaii at M\u00e3noa, Honolulu, HI, USA"],"affiliations":[{"raw_affiliation_string":"University of Hawaii, Manoa","institution_ids":["https://openalex.org/I117965899"]},{"raw_affiliation_string":"University of Hawaii at M\u00e3noa, Honolulu, HI, USA","institution_ids":["https://openalex.org/I117965899"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019536160","display_name":"Wojciech Szpankowski","orcid":"https://orcid.org/0000-0001-9062-0067"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wojciech Szpankowski","raw_affiliation_strings":["Purdue University","Purdue University West Lafayette IN USA"],"affiliations":[{"raw_affiliation_string":"Purdue University","institution_ids":["https://openalex.org/I219193219"]},{"raw_affiliation_string":"Purdue University West Lafayette IN USA","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5030506196"],"corresponding_institution_ids":["https://openalex.org/I117965899"],"apc_list":null,"apc_paid":null,"fwci":1.636,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.87446834,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1877","last_page":"1881"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9951000213623047,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9951000213623047,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9869999885559082,"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":0.9781000018119812,"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/pointwise","display_name":"Pointwise","score":0.9295573830604553},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.8560088872909546},{"id":"https://openalex.org/keywords/bounded-function","display_name":"Bounded function","score":0.6094710230827332},{"id":"https://openalex.org/keywords/pointwise-convergence","display_name":"Pointwise convergence","score":0.5771281123161316},{"id":"https://openalex.org/keywords/uniform-convergence","display_name":"Uniform convergence","score":0.5758146643638611},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.5232709646224976},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5156477689743042},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4837384521961212},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.441885381937027},{"id":"https://openalex.org/keywords/sample-size-determination","display_name":"Sample size determination","score":0.416394978761673},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3939916789531708},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33714982867240906},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.25754690170288086},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.1925417184829712},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.11653786897659302},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.08177784085273743}],"concepts":[{"id":"https://openalex.org/C2777984123","wikidata":"https://www.wikidata.org/wiki/Q9248237","display_name":"Pointwise","level":2,"score":0.9295573830604553},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.8560088872909546},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.6094710230827332},{"id":"https://openalex.org/C27156116","wikidata":"https://www.wikidata.org/wiki/Q1778098","display_name":"Pointwise convergence","level":3,"score":0.5771281123161316},{"id":"https://openalex.org/C157709441","wikidata":"https://www.wikidata.org/wiki/Q1411887","display_name":"Uniform convergence","level":3,"score":0.5758146643638611},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.5232709646224976},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5156477689743042},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4837384521961212},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.441885381937027},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.416394978761673},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3939916789531708},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33714982867240906},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.25754690170288086},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.1925417184829712},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.11653786897659302},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.08177784085273743},{"id":"https://openalex.org/C2777894999","wikidata":"https://www.wikidata.org/wiki/Q4781758","display_name":"Approx","level":2,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isit.2014.6875159","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2014.6875159","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Symposium on Information Theory","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320333591","display_name":"Multidisciplinary University Research Initiative","ror":null},{"id":"https://openalex.org/F4320338281","display_name":"Army Research Office","ror":"https://ror.org/05epdh915"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W1544533750","https://openalex.org/W2074757413","https://openalex.org/W2767593714"],"related_works":["https://openalex.org/W2093422383","https://openalex.org/W2931079280","https://openalex.org/W2776640168","https://openalex.org/W2046496515","https://openalex.org/W2085510698","https://openalex.org/W2592666041","https://openalex.org/W4387514488","https://openalex.org/W992007432","https://openalex.org/W2995787120","https://openalex.org/W4247762935"],"abstract_inverted_index":{"In":[0],"applications":[1],"involving":[2],"estimation,":[3],"the":[4,21,32,37,54,58,79,106,137,140,152,168],"relevant":[5],"model":[6,34,123,142],"classes":[7,124],"of":[8,57,78,125],"probability":[9,126],"distributions":[10,127],"are":[11,70],"often":[12,46],"too":[13],"complex":[14],"to":[15,20,48,144,160],"admit":[16,131],"estimators":[17],"that":[18,26,53,83,128],"converge":[19],"truth":[22],"with":[23],"convergence":[24,55],"rates":[25],"can":[27,60,148],"be":[28,61,101,149],"uniformly":[29],"bounded":[30,62],"over":[31],"entire":[33],"class":[35],"as":[36],"sample":[38,107,153],"size":[39],"increases":[40],"(uniform":[41],"consistency).":[42],"While":[43],"it":[44,96],"is":[45,75,84,92,97,119],"possible":[47],"get":[49],"pointwise":[50,68,132,175],"guarantees,":[51,133],"so":[52],"rate":[56],"estimator":[59,73,91,146],"in":[63,172],"a":[64,76,115,158],"model-dependent":[65],"way,":[66],"such":[67],"gaurantees":[69],"unsatisfactory":[71],"-":[72],"performance":[74],"function":[77],"very":[80],"unknown":[81,141],"quantity":[82],"being":[85],"estimated.":[86],"Therefore,":[87],"even":[88],"if":[89],"an":[90],"consistent,":[93],"how":[94],"well":[95],"doing":[98],"may":[99,129],"not":[100],"clear":[102],"no":[103],"matter":[104],"what":[105],"size.":[108],"Departing":[109],"from":[110,151],"this":[111,161,173],"traditional":[112],"uniform/pointwise":[113],"dichotomy,":[114],"new":[116,164],"analysis":[117],"framework":[118],"explored":[120],"by":[121],"characterizing":[122],"only":[130],"yet":[134],"where":[135],"all":[136],"information":[138],"about":[139],"needed":[143],"gauge":[145],"accuracy":[147],"inferred":[150],"at":[154],"hand.":[155],"To":[156],"provide":[157],"focus":[159],"suggested":[162],"broad":[163],"paradigm,":[165],"we":[166],"analyze":[167],"universal":[169],"compression":[170],"problem":[171],"data-driven":[174],"consistency":[176],"framework.":[177]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}