{"id":"https://openalex.org/W2096788820","doi":"https://doi.org/10.1109/isit.2010.5513588","title":"Optimum estimation via partition functions and information measures","display_name":"Optimum estimation via partition functions and information measures","publication_year":2010,"publication_date":"2010-06-01","ids":{"openalex":"https://openalex.org/W2096788820","doi":"https://doi.org/10.1109/isit.2010.5513588","mag":"2096788820"},"language":"en","primary_location":{"id":"doi:10.1109/isit.2010.5513588","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2010.5513588","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 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/A5028774270","display_name":"Neri Merhav","orcid":"https://orcid.org/0000-0002-9547-3243"},"institutions":[{"id":"https://openalex.org/I174306211","display_name":"Technion \u2013 Israel Institute of Technology","ror":"https://ror.org/03qryx823","country_code":"IL","type":"education","lineage":["https://openalex.org/I174306211"]}],"countries":["IL"],"is_corresponding":true,"raw_author_name":"Neri Merhav","raw_affiliation_strings":["Department of Electrical Engineering, Technion-Israel Institute of Technology, Haifa, Israel","Dept. of Electrical Engineering Technion - Israel Institute of Technology, Haifa 32000, Israel#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Technion-Israel Institute of Technology, Haifa, Israel","institution_ids":["https://openalex.org/I174306211"]},{"raw_affiliation_string":"Dept. of Electrical Engineering Technion - Israel Institute of Technology, Haifa 32000, Israel#TAB#","institution_ids":["https://openalex.org/I174306211"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5028774270"],"corresponding_institution_ids":["https://openalex.org/I174306211"],"apc_list":null,"apc_paid":null,"fwci":0.3371,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.59103878,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"54","issue":null,"first_page":"1473","last_page":"1477"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9939000010490417,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9909999966621399,"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/estimator","display_name":"Estimator","score":0.7946265935897827},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.6596540212631226},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.5946443676948547},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5433389544487},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.539879322052002},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.5229744911193848},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4487808346748352},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4423704147338867},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4244842231273651},{"id":"https://openalex.org/keywords/continuation","display_name":"Continuation","score":0.4144125282764435},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3530922532081604},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.33589375019073486},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2731875777244568},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2302848994731903},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.16558927297592163},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.08943980932235718}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7946265935897827},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.6596540212631226},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.5946443676948547},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5433389544487},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.539879322052002},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.5229744911193848},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4487808346748352},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4423704147338867},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4244842231273651},{"id":"https://openalex.org/C88626702","wikidata":"https://www.wikidata.org/wiki/Q1128903","display_name":"Continuation","level":2,"score":0.4144125282764435},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3530922532081604},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.33589375019073486},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2731875777244568},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2302848994731903},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.16558927297592163},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.08943980932235718},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/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/isit.2010.5513588","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2010.5513588","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Symposium on Information Theory","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/W1988027979","https://openalex.org/W2019704783","https://openalex.org/W2020347709","https://openalex.org/W2033079303","https://openalex.org/W2080598516","https://openalex.org/W2089522099","https://openalex.org/W2111510771","https://openalex.org/W2111616148","https://openalex.org/W2117093731","https://openalex.org/W2146169717","https://openalex.org/W2146712141","https://openalex.org/W2152088890","https://openalex.org/W2167455364","https://openalex.org/W2168671066","https://openalex.org/W2170827277","https://openalex.org/W2566505556","https://openalex.org/W6670501329"],"related_works":["https://openalex.org/W2352275403","https://openalex.org/W2159885618","https://openalex.org/W1994937216","https://openalex.org/W2199313715","https://openalex.org/W2012352190","https://openalex.org/W4229560034","https://openalex.org/W4210910892","https://openalex.org/W2206497186","https://openalex.org/W4225691068","https://openalex.org/W2277985843"],"abstract_inverted_index":{"In":[0],"continuation":[1],"to":[2,19,50,62,67,103],"a":[3,28,95,104,132],"recent":[4],"work":[5],"on":[6],"the":[7,20,68,85,88,92,129],"statistical-mechanical":[8,51],"analysis":[9],"of":[10,80,87,99,108,131],"optimum":[11,33,89],"estimation":[12,34],"in":[13,94],"Gaussian":[14],"noise":[15],"via":[16],"its":[17,60,72],"relation":[18,31,70],"mutual":[21],"information":[22,37],"(I-MMSE":[23],"relation),":[24],"here":[25],"we":[26],"propose":[27],"more":[29],"direct":[30],"between":[32],"and":[35,46,71,91,110,123],"some":[36],"measures,":[38],"which":[39,74],"can":[40],"be":[41],"viewed":[42],"as":[43,65],"partition":[44],"functions":[45],"hence":[47],"are":[48],"amenable":[49],"analysis.":[52],"This":[53],"approach":[54,116],"has":[55,128],"several":[56],"advantages,":[57],"most":[58],"notably,":[59],"applicability":[61],"general":[63],"sources/channels,":[64],"opposed":[66],"I-MMSE":[69],"variants":[73],"hold":[75],"only":[76],"for":[77],"certain":[78],"classes":[79],"channels.":[81,111],"We":[82],"also":[83],"demonstrate":[84],"derivation":[86],"estimator":[90,122],"MMSE":[93,125],"few":[96],"examples.":[97],"One":[98],"them":[100],"is":[101],"generalizable":[102],"fairly":[105],"wide":[106],"class":[107],"sources":[109],"For":[112],"this":[113],"class,":[114],"our":[115],"yields":[117],"an":[118,124],"approximate":[119],"conditional":[120],"mean":[121],"formula":[126],"that":[127],"flavor":[130],"single-letter":[133],"expression.":[134]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
