{"id":"https://openalex.org/W4289655220","doi":"https://doi.org/10.1109/isit50566.2022.9834540","title":"Rare and Weak Detection Models under Moderate Deviations Analysis and Log-Chisquared P-values","display_name":"Rare and Weak Detection Models under Moderate Deviations Analysis and Log-Chisquared P-values","publication_year":2022,"publication_date":"2022-06-26","ids":{"openalex":"https://openalex.org/W4289655220","doi":"https://doi.org/10.1109/isit50566.2022.9834540"},"language":"en","primary_location":{"id":"doi:10.1109/isit50566.2022.9834540","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit50566.2022.9834540","pdf_url":null,"source":{"id":"https://openalex.org/S4363604560","display_name":"2022 IEEE International Symposium on Information Theory (ISIT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 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/A5074838733","display_name":"Alon Kipnis","orcid":"https://orcid.org/0000-0003-3798-8035"},"institutions":[{"id":"https://openalex.org/I2801151526","display_name":"Brandman University","ror":"https://ror.org/013922990","country_code":"US","type":"education","lineage":["https://openalex.org/I2801151526"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Alon Kipnis","raw_affiliation_strings":["Reichman University,School of Computer Science","School of Computer Science, Reichman University"],"affiliations":[{"raw_affiliation_string":"Reichman University,School of Computer Science","institution_ids":["https://openalex.org/I2801151526"]},{"raw_affiliation_string":"School of Computer Science, Reichman University","institution_ids":["https://openalex.org/I2801151526"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5074838733"],"corresponding_institution_ids":["https://openalex.org/I2801151526"],"apc_list":null,"apc_paid":null,"fwci":0.3779,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.57253886,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2052","last_page":"2057"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11235","display_name":"Statistical Methods in Clinical Trials","score":0.9987999796867371,"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/T11235","display_name":"Statistical Methods in Clinical Trials","score":0.9987999796867371,"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/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.9987000226974487,"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/T10136","display_name":"Statistical Methods and Inference","score":0.9984999895095825,"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/mathematics","display_name":"Mathematics","score":0.6925398111343384},{"id":"https://openalex.org/keywords/logarithm","display_name":"Logarithm","score":0.6654343605041504},{"id":"https://openalex.org/keywords/poisson-distribution","display_name":"Poisson distribution","score":0.6422977447509766},{"id":"https://openalex.org/keywords/null-hypothesis","display_name":"Null hypothesis","score":0.5524126291275024},{"id":"https://openalex.org/keywords/exponential-family","display_name":"Exponential family","score":0.5431957840919495},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.5272483229637146},{"id":"https://openalex.org/keywords/null-model","display_name":"Null model","score":0.5063093900680542},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.46879181265830994},{"id":"https://openalex.org/keywords/fraction","display_name":"Fraction (chemistry)","score":0.45971205830574036},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.45797795057296753},{"id":"https://openalex.org/keywords/exponential-function","display_name":"Exponential function","score":0.44788026809692383},{"id":"https://openalex.org/keywords/p-value","display_name":"p-value","score":0.43786200881004333},{"id":"https://openalex.org/keywords/large-deviations-theory","display_name":"Large deviations theory","score":0.43623054027557373},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.42843306064605713},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.4144248068332672},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.19367998838424683},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11609020829200745}],"concepts":[{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6925398111343384},{"id":"https://openalex.org/C39927690","wikidata":"https://www.wikidata.org/wiki/Q11197","display_name":"Logarithm","level":2,"score":0.6654343605041504},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.6422977447509766},{"id":"https://openalex.org/C191988596","wikidata":"https://www.wikidata.org/wiki/Q628374","display_name":"Null hypothesis","level":2,"score":0.5524126291275024},{"id":"https://openalex.org/C55974624","wikidata":"https://www.wikidata.org/wiki/Q1188504","display_name":"Exponential family","level":2,"score":0.5431957840919495},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5272483229637146},{"id":"https://openalex.org/C36382193","wikidata":"https://www.wikidata.org/wiki/Q7068966","display_name":"Null model","level":2,"score":0.5063093900680542},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.46879181265830994},{"id":"https://openalex.org/C149629883","wikidata":"https://www.wikidata.org/wiki/Q660926","display_name":"Fraction (chemistry)","level":2,"score":0.45971205830574036},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.45797795057296753},{"id":"https://openalex.org/C151376022","wikidata":"https://www.wikidata.org/wiki/Q168698","display_name":"Exponential function","level":2,"score":0.44788026809692383},{"id":"https://openalex.org/C44036329","wikidata":"https://www.wikidata.org/wiki/Q253255","display_name":"p-value","level":3,"score":0.43786200881004333},{"id":"https://openalex.org/C75438885","wikidata":"https://www.wikidata.org/wiki/Q3403615","display_name":"Large deviations theory","level":2,"score":0.43623054027557373},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.42843306064605713},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.4144248068332672},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.19367998838424683},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11609020829200745},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/isit50566.2022.9834540","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit50566.2022.9834540","pdf_url":null,"source":{"id":"https://openalex.org/S4363604560","display_name":"2022 IEEE International Symposium on Information Theory (ISIT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.800000011920929,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W143242907","https://openalex.org/W1620307109","https://openalex.org/W1781020620","https://openalex.org/W1964234841","https://openalex.org/W1974169660","https://openalex.org/W1981106668","https://openalex.org/W2014100575","https://openalex.org/W2025954379","https://openalex.org/W2028072731","https://openalex.org/W2033514453","https://openalex.org/W2042125492","https://openalex.org/W2049704395","https://openalex.org/W2050358009","https://openalex.org/W2080257706","https://openalex.org/W2085141944","https://openalex.org/W2103244186","https://openalex.org/W2113890418","https://openalex.org/W2131759077","https://openalex.org/W2133264613","https://openalex.org/W2153256675","https://openalex.org/W2172139273","https://openalex.org/W2182991033","https://openalex.org/W2484064052","https://openalex.org/W2962988259","https://openalex.org/W2963064614","https://openalex.org/W2963153079","https://openalex.org/W3045153201","https://openalex.org/W3090956092","https://openalex.org/W3099946720","https://openalex.org/W3100205528","https://openalex.org/W3106056496","https://openalex.org/W3168192763","https://openalex.org/W4248776558","https://openalex.org/W4252283476","https://openalex.org/W4287282206","https://openalex.org/W4301258660","https://openalex.org/W6605957445","https://openalex.org/W6685779351","https://openalex.org/W6795720302","https://openalex.org/W6796870939"],"related_works":["https://openalex.org/W2964785812","https://openalex.org/W2998601844","https://openalex.org/W3003558595","https://openalex.org/W1986870412","https://openalex.org/W2012721368","https://openalex.org/W4251305187","https://openalex.org/W2046924260","https://openalex.org/W1962532029","https://openalex.org/W2977181302","https://openalex.org/W2640568872"],"abstract_inverted_index":{"Rare/Weak":[0],"models":[1,41,83],"for":[2,50,62,194,213],"multiple":[3,216],"hypothesis":[4],"testing":[5,217],"assume":[6],"that":[7,28,79],"only":[8,24],"a":[9,47,118,123,181,202],"small":[10,124],"proportion":[11],"of":[12,100,126,166,173],"the":[13,20,37,63,86,91,97,127,156,170,186,191,206],"tested":[14],"hypotheses":[15,64],"concern":[16],"non-null":[17],"effects":[18],"and":[19],"individual":[21,143],"signals":[22],"are":[23,107,152],"moderately":[25,136],"large,":[26],"so":[27],"they":[29],"generally":[30],"do":[31,139],"not":[32,73,140],"stand":[33],"out":[34],"individually":[35],"above":[36],"noise":[38],"level.":[39],"Such":[40],"have":[42,75,84,117,130],"been":[43,76],"studied":[44],"in":[45,52,67],"quite":[46],"few":[48],"settings,":[49],"example":[51],"some":[53,68],"cases":[54],"studies":[55],"focused":[56],"on":[57,163],"underlying":[58],"Gaussian":[59],"means":[60],"model":[61,105],"being":[65],"tested;":[66],"others,":[69],"Poisson.":[70],"It":[71],"seems":[72],"to":[74,110],"noticed":[77],"before":[78],"such":[80],"seemingly":[81],"different":[82,200],"asymptotically":[85,108],"following":[87],"common":[88],"structure:":[89],"Summarizing":[90],"evidence":[92],"each":[93],"test":[94],"provides":[95],"by":[96],"negative":[98,114],"logarithm":[99],"its":[101],"P-value,":[102],"previous":[103],"rare/weak":[104,215],"settings":[106],"equivalent":[109],"detection":[111],"where":[112],"most":[113],"log":[115],"P-values":[116,128,179,195],"standard":[119],"exponential":[120],"distribution":[121,133,158],"but":[122],"fraction":[125],"might":[129,146],"an":[131],"alternative":[132,157],"which":[134,142,209],"is":[135,159,199],"larger;":[137],"we":[138,196],"know":[141],"tests":[144,176],"those":[145],"be,":[147],"or":[148],"even":[149],"if":[150],"there":[151],"any":[153],"such.":[154],"Moreover,":[155],"approximately":[160],"noncentral":[161],"chisquared":[162],"one":[164],"degree":[165],"freedom.":[167],"We":[168],"characterize":[169],"asymptotic":[171],"performance":[172],"several":[174],"global":[175],"combining":[177],"these":[178],"using":[180],"phase":[182],"diagram":[183],"analysis":[184,204],"involving":[185],"log-chisquared":[187,192],"mixture":[188],"parameters.":[189],"Interestingly,":[190],"approximation":[193,208],"use":[197],"here":[198],"from":[201],"classical":[203],"proposing":[205],"log-normal":[207],"would":[210],"be":[211],"unsuitable":[212],"understanding":[214],"models.":[218]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}