{"id":"https://openalex.org/W3197843192","doi":"https://doi.org/10.1109/isit45174.2021.9517954","title":"Lower-bounds on the Bayesian Risk in estimation procedures via Sibson's $\\alpha$-Mutual Information","display_name":"Lower-bounds on the Bayesian Risk in estimation procedures via Sibson's $\\alpha$-Mutual Information","publication_year":2021,"publication_date":"2021-07-12","ids":{"openalex":"https://openalex.org/W3197843192","doi":"https://doi.org/10.1109/isit45174.2021.9517954","mag":"3197843192"},"language":"en","primary_location":{"id":"doi:10.1109/isit45174.2021.9517954","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit45174.2021.9517954","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://infoscience.epfl.ch/record/289825","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5079071639","display_name":"Amedeo Roberto Esposito","orcid":"https://orcid.org/0000-0002-9478-9852"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Amedeo Roberto Esposito","raw_affiliation_strings":["School of Computer and Communication Sciences EPFL,Lausanne,Switzerland","School of Computer and Communication Sciences EPFL, Lausanne, Switzerland"],"affiliations":[{"raw_affiliation_string":"School of Computer and Communication Sciences EPFL,Lausanne,Switzerland","institution_ids":["https://openalex.org/I5124864"]},{"raw_affiliation_string":"School of Computer and Communication Sciences EPFL, Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063528341","display_name":"Michael Gastpar","orcid":"https://orcid.org/0000-0002-5499-5336"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Michael Gastpar","raw_affiliation_strings":["School of Computer and Communication Sciences EPFL,Lausanne,Switzerland","School of Computer and Communication Sciences EPFL, Lausanne, Switzerland"],"affiliations":[{"raw_affiliation_string":"School of Computer and Communication Sciences EPFL,Lausanne,Switzerland","institution_ids":["https://openalex.org/I5124864"]},{"raw_affiliation_string":"School of Computer and Communication Sciences EPFL, Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5079071639"],"corresponding_institution_ids":["https://openalex.org/I5124864"],"apc_list":null,"apc_paid":null,"fwci":0.6364,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.71268966,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"748","last_page":"753"},"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":0.9990000128746033,"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":0.9990000128746033,"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":0.9980000257492065,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.9062142968177795},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.683905839920044},{"id":"https://openalex.org/keywords/alpha","display_name":"Alpha (finance)","score":0.6023834943771362},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.5816349387168884},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.5412037968635559},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4736396372318268},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4575954079627991},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.4377366602420807},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.4200904965400696},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3631284236907959},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.33723124861717224},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07513469457626343}],"concepts":[{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.9062142968177795},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.683905839920044},{"id":"https://openalex.org/C64943373","wikidata":"https://www.wikidata.org/wiki/Q2651003","display_name":"Alpha (finance)","level":4,"score":0.6023834943771362},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.5816349387168884},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.5412037968635559},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4736396372318268},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4575954079627991},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4377366602420807},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.4200904965400696},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3631284236907959},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.33723124861717224},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07513469457626343},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C171606756","wikidata":"https://www.wikidata.org/wiki/Q506132","display_name":"Psychometrics","level":2,"score":0.0},{"id":"https://openalex.org/C49453240","wikidata":"https://www.wikidata.org/wiki/Q1592163","display_name":"Construct validity","level":3,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/isit45174.2021.9517954","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit45174.2021.9517954","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"},{"id":"pmh:oai:infoscience.epfl.ch:289825","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/289825","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"WoS","raw_type":"conference proceedings"}],"best_oa_location":{"id":"pmh:oai:infoscience.epfl.ch:289825","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/289825","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"WoS","raw_type":"conference proceedings"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G606004172","display_name":null,"funder_award_id":"169294,200364","funder_id":"https://openalex.org/F4320320924","funder_display_name":"Schweizerischer Nationalfonds zur F\u00f6rderung der Wissenschaftlichen Forschung"}],"funders":[{"id":"https://openalex.org/F4320320924","display_name":"Schweizerischer Nationalfonds zur F\u00f6rderung der Wissenschaftlichen Forschung","ror":"https://ror.org/00yjd3n13"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1548847826","https://openalex.org/W1899372466","https://openalex.org/W2026653933","https://openalex.org/W2066614043","https://openalex.org/W2101790310","https://openalex.org/W2112905930","https://openalex.org/W2162576315","https://openalex.org/W2258483871","https://openalex.org/W2963473808","https://openalex.org/W2964181194","https://openalex.org/W2998261580","https://openalex.org/W3102794743","https://openalex.org/W3135245906","https://openalex.org/W3170524081","https://openalex.org/W4252822198","https://openalex.org/W4287338716","https://openalex.org/W6675423521","https://openalex.org/W6684583874","https://openalex.org/W6764039462"],"related_works":["https://openalex.org/W2132137594","https://openalex.org/W2038812594","https://openalex.org/W2069783012","https://openalex.org/W2085967955","https://openalex.org/W2129126915","https://openalex.org/W2791133188","https://openalex.org/W2964073581","https://openalex.org/W2359118052","https://openalex.org/W2552050053","https://openalex.org/W3197843192"],"abstract_inverted_index":{"In":[0],"this":[1],"work,":[2],"we":[3,45],"consider":[4],"the":[5,21,50,53,59],"problem":[6],"of":[7,40,52,58],"parameter":[8],"estimation":[9],"in":[10],"a":[11,16,47],"Bayesian":[12,22],"setting.":[13],"We":[14],"propose":[15],"new":[17],"approach":[18],"to":[19,37],"lower-bounding":[20],"risk,":[23],"based":[24],"on":[25,49],"Sibson's":[26],"<tex":[27],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[28],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$\\alpha$</tex>":[29],"-Mutual":[30],"Information.":[31],"The":[32],"results":[33,60],"are":[34,64],"then":[35],"applied":[36],"specific":[38],"settings":[39],"interest.":[41],"As":[42],"an":[43],"example,":[44],"provide":[46],"lower-bound":[48],"risk":[51],"so-called":[54],"\u201cHide-and-Seek\u201d":[55],"problem.":[56],"Generalisations":[57],"and":[61],"alternative":[62],"directions":[63],"also":[65],"briefly":[66],"presented.":[67]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2026-03-14T06:41:57.775601","created_date":"2025-10-10T00:00:00"}
