{"id":"https://openalex.org/W2167507722","doi":"https://doi.org/10.1109/isit.2011.6033793","title":"Results on the redundancy of universal compression for finite-length sequences","display_name":"Results on the redundancy of universal compression for finite-length sequences","publication_year":2011,"publication_date":"2011-07-01","ids":{"openalex":"https://openalex.org/W2167507722","doi":"https://doi.org/10.1109/isit.2011.6033793","mag":"2167507722"},"language":"en","primary_location":{"id":"doi:10.1109/isit.2011.6033793","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2011.6033793","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Symposium on Information Theory Proceedings","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/A5008645615","display_name":"Ahmad Beirami","orcid":"https://orcid.org/0000-0002-1998-5271"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ahmad Beirami","raw_affiliation_strings":["School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083854532","display_name":"Faramarz Fekri","orcid":"https://orcid.org/0000-0001-5008-8803"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Faramarz Fekri","raw_affiliation_strings":["School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5008645615"],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":8.1239,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.97505584,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1504","last_page":"1508"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":1.0,"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/T11269","display_name":"Algorithms and Data Compression","score":1.0,"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/T12029","display_name":"DNA and Biological Computing","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12162","display_name":"Cellular Automata and Applications","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/redundancy","display_name":"Redundancy (engineering)","score":0.7839480638504028},{"id":"https://openalex.org/keywords/minimax","display_name":"Minimax","score":0.5711694359779358},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.5594491958618164},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5028917193412781},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.49811458587646484},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4786987602710724},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.43471038341522217},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.42161834239959717},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.41247376799583435},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3287903666496277},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.23490846157073975},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10515096783638},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.09036532044410706}],"concepts":[{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.7839480638504028},{"id":"https://openalex.org/C149728462","wikidata":"https://www.wikidata.org/wiki/Q751319","display_name":"Minimax","level":2,"score":0.5711694359779358},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.5594491958618164},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5028917193412781},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.49811458587646484},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4786987602710724},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.43471038341522217},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.42161834239959717},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.41247376799583435},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3287903666496277},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.23490846157073975},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10515096783638},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.09036532044410706},{"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.2011.6033793","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2011.6033793","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Symposium on Information Theory Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1968908999","https://openalex.org/W2068782468","https://openalex.org/W2101460669","https://openalex.org/W2112938612","https://openalex.org/W2114874848","https://openalex.org/W2131024393","https://openalex.org/W2132119275","https://openalex.org/W2138200515","https://openalex.org/W2148381206","https://openalex.org/W2148574462","https://openalex.org/W2148844225","https://openalex.org/W2160570986","https://openalex.org/W2162209814","https://openalex.org/W2162761290","https://openalex.org/W2163294786","https://openalex.org/W2169326854","https://openalex.org/W3123545922"],"related_works":["https://openalex.org/W2016058626","https://openalex.org/W2474724840","https://openalex.org/W2895916002","https://openalex.org/W1814049089","https://openalex.org/W1977348009","https://openalex.org/W2369683208","https://openalex.org/W2084836983","https://openalex.org/W1530911128","https://openalex.org/W2362133437","https://openalex.org/W2963760573"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,111,140],"investigate":[4],"the":[5,16,25,28,41,79,88,100,114,123,132,143,148],"redundancy":[6,54,82,89,116,129,144],"of":[7,27,33,43,90,102,134,150],"universal":[8,103],"coding":[9,105],"schemes":[10,106],"on":[11,24,107],"smooth":[12],"parametric":[13,44],"sources":[14,45],"in":[15,147],"finite-length":[17,108],"regime.":[18],"We":[19,120],"derive":[20],"an":[21],"upper":[22],"bound":[23],"probability":[26],"event":[29],"that":[30,72,122,142],"a":[31,53,84,127],"sequence":[32],"length":[34],"n,":[35],"chosen":[36],"using":[37],"Jeffreys'":[38],"prior":[39],"from":[40],"family":[42],"with":[46,52],"d":[47],"unknown":[48],"parameters,":[49],"is":[50,137,145],"compressed":[51],"smaller":[55],"than":[56],"(1":[57],"-":[58],"\u2208)":[59],"d/2":[60],"log":[61],"n":[62,76],"for":[63,73,87,117],"any":[64],"\u2208":[65],">;":[66],"0.":[67],"Our":[68,93],"results":[69],"also":[70],"confirm":[71],"large":[74],"enough":[75],"and":[77],"d,":[78],"average":[80],"minimax":[81,115],"provides":[83],"good":[85],"estimate":[86],"most":[91],"sources.":[92],"result":[94],"may":[95],"be":[96],"used":[97],"to":[98],"evaluate":[99],"performance":[101],"source":[104,135],"sequences.":[109,152],"Additionally,":[110],"precisely":[112],"characterize":[113],"two-stage":[118,124],"codes.":[119],"demonstrate":[121],"assumption":[125],"incurs":[126],"negligible":[128],"especially":[130],"when":[131],"number":[133],"parameters":[136],"large.":[138],"Finally,":[139],"show":[141],"significant":[146],"compression":[149],"small":[151]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":8}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}