{"id":"https://openalex.org/W4286219545","doi":"https://doi.org/10.1371/journal.pcbi.1010323","title":"Suboptimal human inference can invert the bias-variance trade-off for decisions with asymmetric evidence","display_name":"Suboptimal human inference can invert the bias-variance trade-off for decisions with asymmetric evidence","publication_year":2022,"publication_date":"2022-07-19","ids":{"openalex":"https://openalex.org/W4286219545","doi":"https://doi.org/10.1371/journal.pcbi.1010323","pmid":"https://pubmed.ncbi.nlm.nih.gov/35853038"},"language":"en","primary_location":{"id":"doi:10.1371/journal.pcbi.1010323","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1010323","pdf_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1010323&type=printable","source":{"id":"https://openalex.org/S86033158","display_name":"PLoS Computational Biology","issn_l":"1553-734X","issn":["1553-734X","1553-7358"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLOS Computational Biology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1010323&type=printable","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5079433392","display_name":"Tahra L. Eissa","orcid":"https://orcid.org/0000-0002-6774-2143"},"institutions":[{"id":"https://openalex.org/I188538660","display_name":"University of Colorado Boulder","ror":"https://ror.org/02ttsq026","country_code":"US","type":"education","lineage":["https://openalex.org/I188538660"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Tahra L. Eissa","raw_affiliation_strings":["Department of Applied Mathematics, University of Colorado Boulder, Boulder, Colorado, United States of America"],"affiliations":[{"raw_affiliation_string":"Department of Applied Mathematics, University of Colorado Boulder, Boulder, Colorado, United States of America","institution_ids":["https://openalex.org/I188538660"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064531912","display_name":"Joshua I. Gold","orcid":"https://orcid.org/0000-0002-6018-0483"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joshua I. Gold","raw_affiliation_strings":["Department of Neuroscience, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America"],"affiliations":[{"raw_affiliation_string":"Department of Neuroscience, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America","institution_ids":["https://openalex.org/I79576946"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020814624","display_name":"Kre\u0161imir Josi\u0107\u0301","orcid":"https://orcid.org/0000-0002-1975-3913"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kre\u0161imir Josi\u0107","raw_affiliation_strings":["Department of Biology and Biochemistry, University of Houston, Houston, Texas, United States of America","Department of Mathematics, University of Houston, Houston, Texas, United States of America"],"affiliations":[{"raw_affiliation_string":"Department of Biology and Biochemistry, University of Houston, Houston, Texas, United States of America","institution_ids":["https://openalex.org/I44461941"]},{"raw_affiliation_string":"Department of Mathematics, University of Houston, Houston, Texas, United States of America","institution_ids":["https://openalex.org/I44461941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058007553","display_name":"Zachary P. Kilpatrick","orcid":"https://orcid.org/0000-0002-2835-9416"},"institutions":[{"id":"https://openalex.org/I188538660","display_name":"University of Colorado Boulder","ror":"https://ror.org/02ttsq026","country_code":"US","type":"education","lineage":["https://openalex.org/I188538660"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zachary P. Kilpatrick","raw_affiliation_strings":["Department of Applied Mathematics, University of Colorado Boulder, Boulder, Colorado, United States of America","Institute of Cognitive Science, University of Colorado Boulder, Boulder, Colorado, United States of America"],"affiliations":[{"raw_affiliation_string":"Department of Applied Mathematics, University of Colorado Boulder, Boulder, Colorado, United States of America","institution_ids":["https://openalex.org/I188538660"]},{"raw_affiliation_string":"Institute of Cognitive Science, University of Colorado Boulder, Boulder, Colorado, United States of America","institution_ids":["https://openalex.org/I188538660"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5079433392"],"corresponding_institution_ids":["https://openalex.org/I188538660"],"apc_list":{"value":2655,"currency":"USD","value_usd":2655},"apc_paid":{"value":2655,"currency":"USD","value_usd":2655},"fwci":0.8853,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.70383275,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"18","issue":"7","first_page":"e1010323","last_page":"e1010323"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10315","display_name":"Decision-Making and Behavioral Economics","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1800","display_name":"General Decision Sciences"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10315","display_name":"Decision-Making and Behavioral Economics","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1800","display_name":"General Decision Sciences"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10042","display_name":"Neural and Behavioral Psychology Studies","score":0.9904000163078308,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11918","display_name":"Forecasting Techniques and Applications","score":0.972100019454956,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.8487671613693237},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.6135875582695007},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.5791170597076416},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.5136482119560242},{"id":"https://openalex.org/keywords/frequentist-inference","display_name":"Frequentist inference","score":0.5099426507949829},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4594365954399109},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.45080867409706116},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4436027705669403},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4365192949771881},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.422394335269928},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3205663859844208},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.279678612947464},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24448910355567932},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.12276092171669006}],"concepts":[{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.8487671613693237},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.6135875582695007},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.5791170597076416},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5136482119560242},{"id":"https://openalex.org/C162376815","wikidata":"https://www.wikidata.org/wiki/Q2158281","display_name":"Frequentist inference","level":4,"score":0.5099426507949829},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4594365954399109},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.45080867409706116},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4436027705669403},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4365192949771881},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.422394335269928},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3205663859844208},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.279678612947464},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24448910355567932},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.12276092171669006},{"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003071","descriptor_name":"Cognition","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003071","descriptor_name":"Cognition","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003071","descriptor_name":"Cognition","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015982","descriptor_name":"Bias","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015982","descriptor_name":"Bias","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015982","descriptor_name":"Bias","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":6,"locations":[{"id":"doi:10.1371/journal.pcbi.1010323","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1010323","pdf_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1010323&type=printable","source":{"id":"https://openalex.org/S86033158","display_name":"PLoS Computational Biology","issn_l":"1553-734X","issn":["1553-734X","1553-7358"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLOS Computational Biology","raw_type":"journal-article"},{"id":"pmid:35853038","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35853038","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLoS computational biology","raw_type":null},{"id":"pmh:oai:cuscholar:ns064751p","is_oa":true,"landing_page_url":"https://scholar.colorado.edu/concern/articles/ns064751p","pdf_url":null,"source":{"id":"https://openalex.org/S4306401957","display_name":"CU Scholar (University of Colorado Boulder)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I188538660","host_organization_name":"University of Colorado Boulder","host_organization_lineage":["https://openalex.org/I188538660"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"pmh:oai:RePEc:plo:pcbi00:1010323","is_oa":false,"landing_page_url":"https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1010323","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},{"id":"pmh:oai:doaj.org/article:ce1c1a6ddce44603a87fd2c6a144943f","is_oa":true,"landing_page_url":"https://doaj.org/article/ce1c1a6ddce44603a87fd2c6a144943f","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"PLoS Computational Biology, Vol 18, Iss 7, p e1010323 (2022)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:9337699","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9337699","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"PLoS Comput Biol","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1371/journal.pcbi.1010323","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1010323","pdf_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1010323&type=printable","source":{"id":"https://openalex.org/S86033158","display_name":"PLoS Computational Biology","issn_l":"1553-734X","issn":["1553-734X","1553-7358"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLOS Computational Biology","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2351642219","display_name":null,"funder_award_id":"R01MH115557","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G4337813161","display_name":null,"funder_award_id":"R01MH115557-01","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"}],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4286219545.pdf","grobid_xml":"https://content.openalex.org/works/W4286219545.grobid-xml"},"referenced_works_count":53,"referenced_works":["https://openalex.org/W158727920","https://openalex.org/W995630646","https://openalex.org/W1517087198","https://openalex.org/W1975400356","https://openalex.org/W1987728722","https://openalex.org/W1992547159","https://openalex.org/W1994253261","https://openalex.org/W2022076766","https://openalex.org/W2022651212","https://openalex.org/W2059534518","https://openalex.org/W2066931620","https://openalex.org/W2067894784","https://openalex.org/W2079686476","https://openalex.org/W2092164860","https://openalex.org/W2096016260","https://openalex.org/W2099734055","https://openalex.org/W2108748822","https://openalex.org/W2109047492","https://openalex.org/W2117377829","https://openalex.org/W2127348148","https://openalex.org/W2132726456","https://openalex.org/W2135469284","https://openalex.org/W2144984120","https://openalex.org/W2151103178","https://openalex.org/W2169049172","https://openalex.org/W2169134378","https://openalex.org/W2170183710","https://openalex.org/W2318504325","https://openalex.org/W2322838108","https://openalex.org/W2343086174","https://openalex.org/W2408614855","https://openalex.org/W2594704855","https://openalex.org/W2770532450","https://openalex.org/W2772751317","https://openalex.org/W2787490641","https://openalex.org/W2790916085","https://openalex.org/W2792134955","https://openalex.org/W2800631177","https://openalex.org/W2896350232","https://openalex.org/W2906869211","https://openalex.org/W2911589237","https://openalex.org/W2921629193","https://openalex.org/W2949118384","https://openalex.org/W2951395956","https://openalex.org/W2963721425","https://openalex.org/W2969795864","https://openalex.org/W3146051674","https://openalex.org/W4211177544","https://openalex.org/W4248625988","https://openalex.org/W4292157289","https://openalex.org/W6684829968","https://openalex.org/W6757798246","https://openalex.org/W6990150244"],"related_works":["https://openalex.org/W2077878098","https://openalex.org/W1506744765","https://openalex.org/W2944091050","https://openalex.org/W2904258669","https://openalex.org/W2998817056","https://openalex.org/W4313815718","https://openalex.org/W996380913","https://openalex.org/W2920185967","https://openalex.org/W2921837939","https://openalex.org/W4225555917"],"abstract_inverted_index":{"Solutions":[0],"to":[1,8,30,64,77,110,144,155,167,212],"challenging":[2],"inference":[3,23,38,67,74,200,223],"problems":[4,75],"are":[5,53],"often":[6],"subject":[7],"a":[9,83,91,118],"fundamental":[10],"trade-off":[11,42],"between:":[12],"1)":[13],"bias":[14,113,150],"(being":[15,28],"systematically":[16],"wrong)":[17],"that":[18,33,48,96,125,190,196,208],"is":[19,34,43],"minimized":[20,35],"with":[21,36,117],"complex":[22,107],"strategies,":[24],"and":[25,59,100,114],"2)":[26],"variance":[27,147,170],"oversensitive":[29],"uncertain":[31],"observations)":[32],"simple":[37],"strategies.":[39,71],"However,":[40],"this":[41],"based":[44,68],"on":[45,69,120,176,198],"the":[46,49,121,130,177,205,215,219,222],"assumption":[47],"strategies":[50,95,108,142,165],"being":[51],"considered":[52],"optimal":[54],"for":[55],"their":[56],"given":[57],"complexity":[58],"thus":[60],"has":[61],"unclear":[62],"relevance":[63],"forms":[65],"of":[66,86,94,123,129,152,221],"suboptimal":[70],"We":[72],"examined":[73],"applied":[76],"rare,":[78],"asymmetrically":[79],"available":[80],"evidence,":[81],"which":[82],"large":[84],"population":[85],"human":[87],"subjects":[88,104,134,160],"solved":[89],"using":[90,105],"diverse":[92],"set":[93],"varied":[97],"in":[98,194],"form":[99,122],"complexity.":[101],"In":[102],"general,":[103],"more":[106,137,174,202],"tended":[109,143,166],"have":[111,145,168],"lower":[112,146],"variance,":[115],"but":[116,139,148,180,217],"dependence":[119],"strategy":[124],"reflected":[126],"an":[127],"inversion":[128],"classic":[131],"bias-variance":[132],"trade-off:":[133],"who":[135,161],"used":[136,162],"complex,":[138],"imperfect,":[140],"Bayesian-like":[141],"higher":[149,169],"because":[151,171],"incorrect":[153],"tuning":[154],"latent":[156],"task":[157],"features,":[158],"whereas":[159],"simpler":[163],"heuristic":[164],"they":[172],"operated":[173],"directly":[175],"observed":[178],"samples":[179],"lower,":[181],"near-normative":[182],"bias.":[183],"Our":[184],"results":[185],"help":[186],"define":[187],"new":[188],"principles":[189],"govern":[191],"individual":[192],"differences":[193],"behavior":[195],"depends":[197],"rare-event":[199],"and,":[201],"generally,":[203],"about":[204],"information-processing":[206],"trade-offs":[207],"can":[209],"be":[210],"sensitive":[211],"not":[213],"just":[214],"complexity,":[216],"also":[218],"optimality,":[220],"process.":[224]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}