{"id":"https://openalex.org/W4386072241","doi":"https://doi.org/10.1109/isit54713.2023.10206620","title":"A Bilateral Bound on the Mean-Square Error for Estimation in Model Mismatch","display_name":"A Bilateral Bound on the Mean-Square Error for Estimation in Model Mismatch","publication_year":2023,"publication_date":"2023-06-25","ids":{"openalex":"https://openalex.org/W4386072241","doi":"https://doi.org/10.1109/isit54713.2023.10206620"},"language":"en","primary_location":{"id":"doi:10.1109/isit54713.2023.10206620","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit54713.2023.10206620","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Symposium on Information Theory (ISIT)","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/A5081331925","display_name":"Amir Weiss","orcid":"https://orcid.org/0000-0002-3104-6939"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Amir Weiss","raw_affiliation_strings":["Massachusetts Institute of Technology"],"affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017386814","display_name":"Alejandro Lancho","orcid":"https://orcid.org/0000-0003-4211-0454"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alejandro Lancho","raw_affiliation_strings":["Massachusetts Institute of Technology"],"affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007990317","display_name":"Yuheng Bu","orcid":"https://orcid.org/0000-0002-3479-4553"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuheng Bu","raw_affiliation_strings":["University of Florida"],"affiliations":[{"raw_affiliation_string":"University of Florida","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066172831","display_name":"Gregory W. Wornell","orcid":"https://orcid.org/0000-0001-9166-4758"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gregory W. Wornell","raw_affiliation_strings":["Massachusetts Institute of Technology"],"affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology","institution_ids":["https://openalex.org/I63966007"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5081331925"],"corresponding_institution_ids":["https://openalex.org/I63966007"],"apc_list":null,"apc_paid":null,"fwci":1.3908,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.8262137,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"2655","last_page":"2660"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9993000030517578,"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"}},{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9958000183105469,"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"}},{"id":"https://openalex.org/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9950000047683716,"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/estimator","display_name":"Estimator","score":0.845501184463501},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.7928221225738525},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.704723060131073},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.6906528472900391},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5849481225013733},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5702486038208008},{"id":"https://openalex.org/keywords/divergence","display_name":"Divergence (linguistics)","score":0.5284324288368225},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.5033571124076843},{"id":"https://openalex.org/keywords/square","display_name":"Square (algebra)","score":0.44614285230636597},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4457910656929016},{"id":"https://openalex.org/keywords/cram\u00e9r\u2013rao-bound","display_name":"Cram\u00e9r\u2013Rao bound","score":0.4396456182003021},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3521178066730499},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.33063918352127075},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.30843430757522583},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13292676210403442},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.12723740935325623},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.08892586827278137}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.845501184463501},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.7928221225738525},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.704723060131073},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.6906528472900391},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5849481225013733},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5702486038208008},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.5284324288368225},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.5033571124076843},{"id":"https://openalex.org/C135692309","wikidata":"https://www.wikidata.org/wiki/Q111124","display_name":"Square (algebra)","level":2,"score":0.44614285230636597},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4457910656929016},{"id":"https://openalex.org/C4978587","wikidata":"https://www.wikidata.org/wiki/Q1138810","display_name":"Cram\u00e9r\u2013Rao bound","level":3,"score":0.4396456182003021},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3521178066730499},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.33063918352127075},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.30843430757522583},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13292676210403442},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.12723740935325623},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.08892586827278137},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isit54713.2023.10206620","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit54713.2023.10206620","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Symposium on Information Theory (ISIT)","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W152055444","https://openalex.org/W250076511","https://openalex.org/W1592173360","https://openalex.org/W1923297389","https://openalex.org/W1967845942","https://openalex.org/W1973071586","https://openalex.org/W1974086818","https://openalex.org/W1977662928","https://openalex.org/W1979671221","https://openalex.org/W1981286291","https://openalex.org/W1997834106","https://openalex.org/W2016445377","https://openalex.org/W2018637760","https://openalex.org/W2023794851","https://openalex.org/W2024973676","https://openalex.org/W2030578043","https://openalex.org/W2034347235","https://openalex.org/W2047423745","https://openalex.org/W2056712138","https://openalex.org/W2074878962","https://openalex.org/W2090627840","https://openalex.org/W2094775216","https://openalex.org/W2099444532","https://openalex.org/W2099756352","https://openalex.org/W2100642855","https://openalex.org/W2108792455","https://openalex.org/W2114324787","https://openalex.org/W2136135636","https://openalex.org/W2149268774","https://openalex.org/W2165709293","https://openalex.org/W2167667216","https://openalex.org/W2170959086","https://openalex.org/W2210387432","https://openalex.org/W2330070481","https://openalex.org/W2594377057","https://openalex.org/W2759547991","https://openalex.org/W2886876625","https://openalex.org/W2888774043","https://openalex.org/W2905382656","https://openalex.org/W3015671296","https://openalex.org/W3039561727","https://openalex.org/W3100410537","https://openalex.org/W3127518054","https://openalex.org/W3200195019","https://openalex.org/W4238801035","https://openalex.org/W4246784033","https://openalex.org/W4298298962","https://openalex.org/W4302068590","https://openalex.org/W6675074827"],"related_works":["https://openalex.org/W2164801693","https://openalex.org/W2120266201","https://openalex.org/W2585557503","https://openalex.org/W2389491004","https://openalex.org/W2384282517","https://openalex.org/W1976418043","https://openalex.org/W2378226311","https://openalex.org/W2035458027","https://openalex.org/W2169354510","https://openalex.org/W2769149396"],"abstract_inverted_index":{"A":[0],"bilateral":[1],"(i.e.,":[2],"upper":[3],"and":[4,36,41],"lower)":[5],"bound":[6,56],"on":[7,52],"the":[8,24,28,34,53,69,92],"mean-square":[9],"error":[10],"under":[11,112],"a":[12,65,72,80,88,97],"general":[13,113],"model":[14,114],"mismatch":[15,115],"is":[16,21,31,57,62,87],"developed.":[17],"The":[18,75],"bound,":[19],"which":[20,86],"derived":[22],"from":[23],"variational":[25],"representation":[26],"of":[27,71,82,85,94,99],"chi-square":[29],"divergence,":[30],"applicable":[32,63],"in":[33],"Bayesian":[35],"nonBayesian":[37],"frameworks":[38],"to":[39,106],"biased":[40],"unbiased":[42],"estimators.":[43],"Unlike":[44],"other":[45],"classical":[46],"MSE":[47,70],"bounds":[48],"that":[49],"depend":[50],"only":[51],"model,":[54],"our":[55],"also":[58],"estimator-dependent.":[59],"Thus,":[60],"it":[61,102],"as":[64,105],"tool":[66,89],"for":[67,90,96],"characterizing":[68],"specific":[73],"estimator.":[74],"proposed":[76],"bounding":[77],"technique":[78],"has":[79],"variety":[81],"applications,":[83],"one":[84],"proving":[91],"consistency":[93],"estimators":[95,109],"class":[98],"models.":[100],"Furthermore,":[101],"provides":[103],"insight":[104],"why":[107],"certain":[108],"work":[110],"well":[111],"conditions.":[116]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
