{"id":"https://openalex.org/W2562235490","doi":"https://doi.org/10.1109/isit.2004.1365254","title":"The error exponent for finite-hypothesis channel identification","display_name":"The error exponent for finite-hypothesis channel identification","publication_year":2004,"publication_date":"2004-12-23","ids":{"openalex":"https://openalex.org/W2562235490","doi":"https://doi.org/10.1109/isit.2004.1365254","mag":"2562235490"},"language":"en","primary_location":{"id":"doi:10.1109/isit.2004.1365254","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2004.1365254","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Symposium onInformation Theory, 2004. ISIT 2004. Proceedings.","raw_type":"proceedings-article"},"type":"conference-paper","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/A5090906343","display_name":"Patrick Mitran","orcid":"https://orcid.org/0000-0001-6479-1700"},"institutions":[{"id":"https://openalex.org/I2801851002","display_name":"Harvard University Press","ror":"https://ror.org/006v7bf86","country_code":"US","type":"other","lineage":["https://openalex.org/I136199984","https://openalex.org/I2801851002"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"P. Mitran","raw_affiliation_strings":["Harvard University, Cambridge, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harvard University, Cambridge, MA, USA","institution_ids":["https://openalex.org/I2801851002"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089325104","display_name":"A. Kavcic","orcid":null},"institutions":[{"id":"https://openalex.org/I2801851002","display_name":"Harvard University Press","ror":"https://ror.org/006v7bf86","country_code":"US","type":"other","lineage":["https://openalex.org/I136199984","https://openalex.org/I2801851002"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"A. Kavcic","raw_affiliation_strings":["Harvard University, Cambridge, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harvard University, Cambridge, MA, USA","institution_ids":["https://openalex.org/I2801851002"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I2801851002"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.26105734,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"217","last_page":"217"},"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":0.9817000031471252,"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":0.9817000031471252,"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/T10964","display_name":"Wireless Communication Security Techniques","score":0.9631999731063843,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11032","display_name":"VLSI and Analog Circuit Testing","score":0.9427000284194946,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/exponent","display_name":"Exponent","score":0.6671571731567383},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.6358888745307922},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5688267946243286},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.55497807264328},{"id":"https://openalex.org/keywords/limiting","display_name":"Limiting","score":0.5371506810188293},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5317754745483398},{"id":"https://openalex.org/keywords/empirical-distribution-function","display_name":"Empirical distribution function","score":0.476707398891449},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.46180835366249084},{"id":"https://openalex.org/keywords/statistical-hypothesis-testing","display_name":"Statistical hypothesis testing","score":0.44928762316703796},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.442261278629303},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.4277559518814087},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.41725805401802063},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.32023996114730835},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.22986289858818054},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.11906218528747559},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08507385849952698}],"concepts":[{"id":"https://openalex.org/C2780388253","wikidata":"https://www.wikidata.org/wiki/Q5421508","display_name":"Exponent","level":2,"score":0.6671571731567383},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.6358888745307922},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5688267946243286},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.55497807264328},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.5371506810188293},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5317754745483398},{"id":"https://openalex.org/C98385598","wikidata":"https://www.wikidata.org/wiki/Q1339385","display_name":"Empirical distribution function","level":2,"score":0.476707398891449},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46180835366249084},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.44928762316703796},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.442261278629303},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.4277559518814087},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41725805401802063},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.32023996114730835},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.22986289858818054},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.11906218528747559},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08507385849952698},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isit.2004.1365254","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2004.1365254","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Symposium onInformation Theory, 2004. ISIT 2004. Proceedings.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1500551892","https://openalex.org/W1549664537","https://openalex.org/W2002844873","https://openalex.org/W2004058245","https://openalex.org/W2041537137","https://openalex.org/W2055094761","https://openalex.org/W2059120410","https://openalex.org/W2099111195","https://openalex.org/W2114018052","https://openalex.org/W2114202040","https://openalex.org/W2167989066","https://openalex.org/W3144644885","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2467119940","https://openalex.org/W3194077685","https://openalex.org/W4243145179","https://openalex.org/W4255875982","https://openalex.org/W4244853958","https://openalex.org/W2152758797","https://openalex.org/W2382762871","https://openalex.org/W2062219402","https://openalex.org/W2950599922","https://openalex.org/W2943190685"],"abstract_inverted_index":{"We":[0,21,40],"consider":[1],"the":[2,24,32,37,44,51,60,71,78],"issue":[3],"of":[4,31,36,46,57,77],"signal":[5],"selection":[6],"in":[7,43],"hypothesis":[8,15],"testing.":[9],"In":[10],"particular,":[11],"we":[12,64],"model":[13],"each":[14],"as":[16,28,74],"a":[17,29,75],"discrete":[18],"memoryless":[19],"channel.":[20],"first":[22],"derive":[23,65],"Bayesian":[25],"error":[26,72],"exponent":[27,73],"function":[30,76],"limiting":[33,79],"empirical":[34],"distribution":[35],"input":[38,54],"sequence.":[39],"show":[41],"that":[42],"case":[45],"discriminating":[47],"between":[48],"two":[49],"hypotheses,":[50],"asymptotically":[52],"optimal":[53],"sequence":[55],"consists":[56],"always":[58],"repeating":[59],"same":[61],"input.":[62],"Finally,":[63],"an":[66],"efficient":[67],"method":[68],"to":[69],"evaluate":[70],"distribution.":[80]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}