{"id":"https://openalex.org/W2080692869","doi":"https://doi.org/10.1080/00401706.1999.10485598","title":"The Practice of Bayesian Analysis","display_name":"The Practice of Bayesian Analysis","publication_year":1999,"publication_date":"1999-02-01","ids":{"openalex":"https://openalex.org/W2080692869","doi":"https://doi.org/10.1080/00401706.1999.10485598","mag":"2080692869"},"language":"en","primary_location":{"id":"doi:10.1080/00401706.1999.10485598","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00401706.1999.10485598","pdf_url":null,"source":{"id":"https://openalex.org/S985303","display_name":"Technometrics","issn_l":"0040-1706","issn":["0040-1706","1537-2723"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Technometrics","raw_type":"journal-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/A5012367809","display_name":"Francisco J. Samaniego","orcid":null},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Francisco J. Samaniego","raw_affiliation_strings":["University of California, Davis","university of california, davis"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Davis","institution_ids":["https://openalex.org/I84218800"]},{"raw_affiliation_string":"university of california, davis","institution_ids":["https://openalex.org/I84218800"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5012367809"],"corresponding_institution_ids":["https://openalex.org/I84218800"],"apc_list":null,"apc_paid":null,"fwci":8.6385,"has_fulltext":false,"cited_by_count":56,"citation_normalized_percentile":{"value":0.9763443,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"41","issue":"1","first_page":"73","last_page":"73"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.04050000011920929,"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"}},"topics":[{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.04050000011920929,"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/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.039000000804662704,"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/T11875","display_name":"Statistics Education and Methodologies","score":0.0348999984562397,"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/bayesian-probability","display_name":"Bayesian probability","score":0.7678631544113159},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6778395771980286},{"id":"https://openalex.org/keywords/scope","display_name":"Scope (computer science)","score":0.6335891485214233},{"id":"https://openalex.org/keywords/bayesian-statistics","display_name":"Bayesian statistics","score":0.5839743614196777},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5699340105056763},{"id":"https://openalex.org/keywords/management-science","display_name":"Management science","score":0.3521086573600769},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.3469647169113159},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33856475353240967},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3267781138420105},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2818596065044403},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.077982097864151}],"concepts":[{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.7678631544113159},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6778395771980286},{"id":"https://openalex.org/C2778012447","wikidata":"https://www.wikidata.org/wiki/Q1034415","display_name":"Scope (computer science)","level":2,"score":0.6335891485214233},{"id":"https://openalex.org/C101112237","wikidata":"https://www.wikidata.org/wiki/Q4874481","display_name":"Bayesian statistics","level":4,"score":0.5839743614196777},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5699340105056763},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.3521086573600769},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.3469647169113159},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33856475353240967},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3267781138420105},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2818596065044403},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.077982097864151},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/00401706.1999.10485598","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00401706.1999.10485598","pdf_url":null,"source":{"id":"https://openalex.org/S985303","display_name":"Technometrics","issn_l":"0040-1706","issn":["0040-1706","1537-2723"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Technometrics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.699999988079071,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W299368792","https://openalex.org/W2025423151","https://openalex.org/W2372988341","https://openalex.org/W4214872087","https://openalex.org/W2161970884","https://openalex.org/W2407375987","https://openalex.org/W3049691116","https://openalex.org/W2100539273","https://openalex.org/W3081214562","https://openalex.org/W2950975704"],"abstract_inverted_index":{"The":[0,56],"purpose":[1,58],"of":[2,36,42,73,87],"this":[3,53],"book":[4],"is":[5,59],"twofold.":[6],"First,":[7],"it":[8],"has":[9],"been":[10],"written":[11],"to":[12,29,52,60,65],"advertise":[13],"the":[14,30,37,40,43,67,85,90],"advantages":[15],"a":[16,71],"Bayesian":[17,68],"analysis":[18],"can":[19,26,47],"bring.":[20],"New":[21],"statistical":[22],"and":[23,34,39,75,89],"decision":[24],"models":[25],"be":[27,48,81],"tailored":[28],"unique":[31],"beliefs,":[32],"values":[33],"needs":[35],"user,":[38],"implications":[41],"data":[44],"she":[45,79],"collects":[46],"analysed":[49],"with":[50,70],"reference":[51],"underlying":[54],"structure.":[55],"second":[57],"provide":[61],"an":[62,95],"analyst":[63],"wanting":[64],"apply":[66],"methodology":[69],"resource":[72],"examples":[74],"techniques,":[76],"so":[77],"that":[78],"may":[80],"better":[82],"informed":[83],"about":[84],"scope":[86],"opportunities":[88],"pitfalls":[91],"inherent":[92],"in":[93],"such":[94],"analysis.":[96]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}