{"id":"https://openalex.org/W2948044831","doi":"https://doi.org/10.1007/s11222-020-09981-3","title":"Bayesian wavelet-packet historical functional linear models","display_name":"Bayesian wavelet-packet historical functional linear models","publication_year":2021,"publication_date":"2021-01-27","ids":{"openalex":"https://openalex.org/W2948044831","doi":"https://doi.org/10.1007/s11222-020-09981-3","mag":"2948044831","pmid":"https://pubmed.ncbi.nlm.nih.gov/36324372"},"language":"en","primary_location":{"id":"doi:10.1007/s11222-020-09981-3","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11222-020-09981-3","pdf_url":null,"source":{"id":"https://openalex.org/S5437875","display_name":"Statistics and Computing","issn_l":"0960-3174","issn":["0960-3174","1573-1375"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Statistics and Computing","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","datacite","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1906.02269","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058066838","display_name":"Mark J. Meyer","orcid":"https://orcid.org/0000-0003-3942-9675"},"institutions":[{"id":"https://openalex.org/I184565670","display_name":"Georgetown University","ror":"https://ror.org/05vzafd60","country_code":"US","type":"education","lineage":["https://openalex.org/I184565670"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mark J. Meyer","raw_affiliation_strings":["Department of Mathematics and Statistics, Georgetown University","Department of Mathematics and Statistics, Georgetown University, Washington, DC, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Statistics, Georgetown University","institution_ids":["https://openalex.org/I184565670"]},{"raw_affiliation_string":"Department of Mathematics and Statistics, Georgetown University, Washington, DC, USA","institution_ids":["https://openalex.org/I184565670"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031927446","display_name":"Elizabeth J. Malloy","orcid":"https://orcid.org/0000-0002-7209-5147"},"institutions":[{"id":"https://openalex.org/I181401687","display_name":"American University","ror":"https://ror.org/052w4zt36","country_code":"US","type":"education","lineage":["https://openalex.org/I181401687"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Elizabeth J. Malloy","raw_affiliation_strings":["Department of Mathematics and Statistics, American University","Department of Mathematics and Statistics, American University, Washington, DC, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Statistics, American University","institution_ids":["https://openalex.org/I181401687"]},{"raw_affiliation_string":"Department of Mathematics and Statistics, American University, Washington, DC, USA","institution_ids":["https://openalex.org/I181401687"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045303930","display_name":"Brent A. Coull","orcid":"https://orcid.org/0000-0002-1808-4156"},"institutions":[{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Brent A. Coull","raw_affiliation_strings":["Department of Biostatistics, Harvard T. H. Chan School of Public Health","Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Biostatistics, Harvard T. H. Chan School of Public Health","institution_ids":["https://openalex.org/I136199984"]},{"raw_affiliation_string":"Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA, USA","institution_ids":["https://openalex.org/I136199984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5058066838"],"corresponding_institution_ids":["https://openalex.org/I184565670"],"apc_list":{"value":2090,"currency":"EUR","value_usd":2690},"apc_paid":null,"fwci":1.1831,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.79201823,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":97},"biblio":{"volume":"31","issue":"2","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9983000159263611,"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/T10136","display_name":"Statistical Methods and Inference","score":0.9983000159263611,"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":0.9944999814033508,"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/T13487","display_name":"Statistical and numerical algorithms","score":0.9894999861717224,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"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/wavelet","display_name":"Wavelet","score":0.6035729646682739},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5529466271400452},{"id":"https://openalex.org/keywords/variable-order-bayesian-network","display_name":"Variable-order Bayesian network","score":0.4450497031211853},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.44018465280532837},{"id":"https://openalex.org/keywords/linear-model","display_name":"Linear model","score":0.4392457902431488},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4376697540283203},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.41121408343315125},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.3838079571723938},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36055853962898254},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.35188546776771545},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32359009981155396},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3029939532279968}],"concepts":[{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6035729646682739},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5529466271400452},{"id":"https://openalex.org/C71983512","wikidata":"https://www.wikidata.org/wiki/Q7915687","display_name":"Variable-order Bayesian network","level":4,"score":0.4450497031211853},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44018465280532837},{"id":"https://openalex.org/C163175372","wikidata":"https://www.wikidata.org/wiki/Q3339222","display_name":"Linear model","level":2,"score":0.4392457902431488},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4376697540283203},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.41121408343315125},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.3838079571723938},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36055853962898254},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.35188546776771545},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32359009981155396},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3029939532279968}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1007/s11222-020-09981-3","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11222-020-09981-3","pdf_url":null,"source":{"id":"https://openalex.org/S5437875","display_name":"Statistics and Computing","issn_l":"0960-3174","issn":["0960-3174","1573-1375"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Statistics and Computing","raw_type":"journal-article"},{"id":"pmid:36324372","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36324372","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":"Statistics and computing","raw_type":null},{"id":"pmh:oai:arXiv.org:1906.02269","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1906.02269","pdf_url":"https://arxiv.org/pdf/1906.02269","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},{"id":"pmh:oai:figshare.com:article/23894373","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Bayesian_wavelet-packet_historical_functional_linear_models/23894373","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"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":"","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:9624484","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9624484","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Stat Comput","raw_type":"Text"},{"id":"doi:10.57912/23894373.v1","is_oa":true,"landing_page_url":"https://doi.org/10.57912/23894373.v1","pdf_url":null,"source":{"id":"https://openalex.org/S7407050618","display_name":"American University Research Archive","issn_l":null,"issn":[],"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":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1906.02269","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1906.02269","pdf_url":"https://arxiv.org/pdf/1906.02269","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2706445695","display_name":null,"funder_award_id":"CA134294","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G3794210843","display_name":null,"funder_award_id":"ES007142","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G6336628147","display_name":null,"funder_award_id":"00002","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G6415075661","display_name":null,"funder_award_id":"ES000002","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G663021273","display_name":null,"funder_award_id":"ES016454","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":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W590134283","https://openalex.org/W1423766661","https://openalex.org/W1498828547","https://openalex.org/W1545954990","https://openalex.org/W1582484699","https://openalex.org/W1927268375","https://openalex.org/W1969816229","https://openalex.org/W1974498411","https://openalex.org/W1981015491","https://openalex.org/W1997263247","https://openalex.org/W2013365346","https://openalex.org/W2031381243","https://openalex.org/W2042809187","https://openalex.org/W2097446620","https://openalex.org/W2106575405","https://openalex.org/W2116980473","https://openalex.org/W2130653751","https://openalex.org/W2148534890","https://openalex.org/W2162397718","https://openalex.org/W2405463453","https://openalex.org/W2429142782","https://openalex.org/W2530590595","https://openalex.org/W2567860293","https://openalex.org/W2948044831","https://openalex.org/W3037531055","https://openalex.org/W4244637328","https://openalex.org/W4285719527","https://openalex.org/W4298352105"],"related_works":["https://openalex.org/W3214042144","https://openalex.org/W4225603608","https://openalex.org/W2978027774","https://openalex.org/W2380260214","https://openalex.org/W2407375987","https://openalex.org/W2505726097","https://openalex.org/W2607690625","https://openalex.org/W4281746790","https://openalex.org/W2010643158","https://openalex.org/W3049691116"],"abstract_inverted_index":null,"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
