{"id":"https://openalex.org/W2402985491","doi":null,"title":"Discussion of 'Bayesian Nonparametric Inference - Why and How', by Peter M\u00fcller and Riten Mitra.","display_name":"Discussion of 'Bayesian Nonparametric Inference - Why and How', by Peter M\u00fcller and Riten Mitra.","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W2402985491","mag":"2402985491","pmid":"https://pubmed.ncbi.nlm.nih.gov/25798212","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/4364550"},"language":"en","primary_location":{"id":"pmid:25798212","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/25798212","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,"listed_in":[],"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":"Bayesian analysis","raw_type":"Journal Article"},"volume":null,"type":"editorial","indexed_in":["pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4364550","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072393026","display_name":"Susan M. Paddock","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Susan M Paddock","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5074507246","display_name":"Terrance D. Savitsky","orcid":"https://orcid.org/0000-0003-1843-3106","observed_orcids":["https://orcid.org/0000-0003-1843-3106"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Terrance D Savitsky","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"8","issue":"2","first_page":"342","last_page":"345"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.6362000107765198,"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/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.6362000107765198,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.3422999978065491,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.0031999999191612005,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/nonparametric-bayesian-inference","display_name":"Bayesian nonparametrics","score":0.9509999752044678},{"id":"https://openalex.org/keywords/group-therapy","display_name":"group therapy","score":0.5929999947547913},{"id":"https://openalex.org/keywords/depression","display_name":"depression","score":0.6320000290870667},{"id":"https://openalex.org/keywords/multiple-membership-models","display_name":"multiple membership models","score":0.8889999985694885},{"id":"https://openalex.org/keywords/growth-curve-modeling","display_name":"growth curve models","score":0.47600001096725464},{"id":"https://openalex.org/keywords/social-science-applications","display_name":"social science applications","score":0.6830000281333923}],"concepts":[{"id":"https://openalex.org/C2776867660","wikidata":"https://www.wikidata.org/wiki/Q1814941","display_name":"Depression (economics)","level":2,"score":0.5689940452575684},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.5283430814743042},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.5133516192436218},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.47262024879455566},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.4412144720554352},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.43735432624816895},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.42005911469459534},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4124201536178589},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3979889154434204},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.39215701818466187},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.36511021852493286},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35936370491981506},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.34693145751953125},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.3230202794075012},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.08124840259552002},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"pmid:25798212","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/25798212","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,"listed_in":[],"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":"Bayesian analysis","raw_type":"Journal Article"},{"id":"pmh:oai:pubmedcentral.nih.gov:4364550","doi":null,"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4364550","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"Bayesian Anal","raw_type":"Text"},{"id":"mag:2402985491","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/25798212","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,"listed_in":[],"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":null,"is_accepted":false,"is_published":false,"raw_source_name":"PubMed","raw_type":null}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:4364550","doi":null,"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4364550","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"Bayesian Anal","raw_type":"Text"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G5926606194","display_name":"Hierarchical Modeling of Alcohol Treatment Outcomes of Group Therapy","funder_award_id":"R01AA019663","funder_id":"https://openalex.org/F4320337330","funder_display_name":"National Institute on Alcohol Abuse and Alcoholism"}],"funders":[{"id":"https://openalex.org/F4320337330","display_name":"National Institute on Alcohol Abuse and Alcoholism","ror":"https://ror.org/02jzrsm59"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W1809313351","https://openalex.org/W2084659825"],"related_works":["https://openalex.org/W7132588629","https://openalex.org/W6999475697","https://openalex.org/W2755120649","https://openalex.org/W1484583367","https://openalex.org/W7098651249","https://openalex.org/W2750699433","https://openalex.org/W154283841","https://openalex.org/W7099006040","https://openalex.org/W7095687684","https://openalex.org/W7100666334"],"abstract_inverted_index":{"Muller":[0],"and":[1,8,23,50,71,106,114,125,134],"Mitra\u2019s":[2],"contribution":[3],"regarding":[4],"the":[5,74,128],"practical":[6],"whys":[7],"hows":[9],"of":[10,56,79],"non-parametric":[11],"Bayes":[12],"(NPB)":[13],"is":[14,32],"welcome.":[15],"In":[16],"that":[17],"spirit,":[18],"we":[19],"highlight":[20],"one":[21,24],"basic":[22],"complex":[25],"social":[26],"science":[27],"example":[28],"for":[29,60,121],"which":[30,96],"NPB":[31],"uniquely":[33],"well-suited.\r\n\r\nDepression":[34],"symptoms":[35],"scores":[36],"were":[37],"collected":[38],"from":[39,127],"n":[40],"=":[41],"299":[42],"clients":[43],"on":[44],"three":[45],"occasions":[46],"\u2013":[47,52],"pre-treatment,":[48],"post-treatment,":[49],"follow-up":[51],"during":[53],"a":[54,80],"study":[55],"group":[57,68,76],"therapy\u2019s":[58],"effectiveness":[59],"treating":[61],"depression.":[62],"Clients":[63],"completed":[64],"up":[65],"to":[66,100],"four":[67],"therapy":[69,75],"modules":[70],"could":[72,88,118],"join":[73],"at":[77],"start":[78],"module.":[81],"Therapy":[82],"group-induced":[83],"correlations":[84,124],"among":[85],"client":[86],"outcomes":[87,102],"thus":[89],"be":[90,98,119],"modeled":[91],"using":[92],"random":[93,111],"module":[94],"effects,":[95],"would":[97],"linked":[99],"post-treatment":[101],"via":[103],"multiple":[104],"membership,":[105],"client-specific":[107],"growth":[108],"parameters":[109],"(e.g.,":[110],"intercept,":[112],"time,":[113],"quadratic":[115],"time":[116],"effects)":[117],"specified":[120],"modeling":[122],"within-client":[123],"deviations":[126],"average":[129],"depression":[130],"score":[131],"trajectory":[132],"(Paddock":[133],"Savitsky":[135],"2013).":[136]},"counts_by_year":[],"updated_date":"2026-10-30T12:39:25.321706","created_date":"2016-06-24T00:00:00"}
