{"id":"https://openalex.org/W3100431680","doi":"https://doi.org/10.1007/s00180-020-01048-1","title":"Bayesian wavelet shrinkage with beta priors","display_name":"Bayesian wavelet shrinkage with beta priors","publication_year":2020,"publication_date":"2020-11-19","ids":{"openalex":"https://openalex.org/W3100431680","doi":"https://doi.org/10.1007/s00180-020-01048-1","mag":"3100431680"},"language":"en","primary_location":{"id":"doi:10.1007/s00180-020-01048-1","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00180-020-01048-1","pdf_url":null,"source":{"id":"https://openalex.org/S8500805","display_name":"Computational Statistics","issn_l":"0943-4062","issn":["0943-4062","1613-9658"],"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":"Computational Statistics","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/A5044720728","display_name":"Alex Rodrigo dos Santos Sousa","orcid":"https://orcid.org/0000-0001-5887-3638"},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Alex Rodrigo dos S. Sousa","raw_affiliation_strings":["University of S\u00e3o Paulo, S\u00e3o Paulo, Brazil"],"raw_orcid":"https://orcid.org/0000-0001-5887-3638","affiliations":[{"raw_affiliation_string":"University of S\u00e3o Paulo, S\u00e3o Paulo, Brazil","institution_ids":["https://openalex.org/I17974374"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085547798","display_name":"Nancy L. Garcia","orcid":"https://orcid.org/0000-0002-4594-3761"},"institutions":[{"id":"https://openalex.org/I181391015","display_name":"Universidade Estadual de Campinas (UNICAMP)","ror":"https://ror.org/04wffgt70","country_code":"BR","type":"education","lineage":["https://openalex.org/I181391015"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Nancy L. Garcia","raw_affiliation_strings":["University of Campinas, Campinas, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Campinas, Campinas, Brazil","institution_ids":["https://openalex.org/I181391015"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029550725","display_name":"Brani Vidakovi\u0107","orcid":"https://orcid.org/0000-0001-9155-9325"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Brani Vidakovic","raw_affiliation_strings":["Texas A&M University, College Station, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Texas A&M University, College Station, TX, USA","institution_ids":["https://openalex.org/I91045830"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5044720728"],"corresponding_institution_ids":["https://openalex.org/I17974374"],"apc_list":{"value":2490,"currency":"EUR","value_usd":3090},"apc_paid":null,"fwci":0.6868,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.72788315,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"36","issue":"2","first_page":"1341","last_page":"1363"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.9851999878883362,"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"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9847999811172485,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/wavelet","display_name":"Wavelet","score":0.7542386054992676},{"id":"https://openalex.org/keywords/shrinkage-estimator","display_name":"Shrinkage estimator","score":0.7514529824256897},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.687397837638855},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.6279923915863037},{"id":"https://openalex.org/keywords/shrinkage","display_name":"Shrinkage","score":0.5665462613105774},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.530372142791748},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.509818971157074},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45860064029693604},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.41313329339027405},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4042860269546509},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.39589300751686096},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.38618773221969604},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3675970137119293},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.21204379200935364}],"concepts":[{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.7542386054992676},{"id":"https://openalex.org/C102592046","wikidata":"https://www.wikidata.org/wiki/Q7504144","display_name":"Shrinkage estimator","level":5,"score":0.7514529824256897},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.687397837638855},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.6279923915863037},{"id":"https://openalex.org/C180145272","wikidata":"https://www.wikidata.org/wiki/Q7504144","display_name":"Shrinkage","level":2,"score":0.5665462613105774},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.530372142791748},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.509818971157074},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45860064029693604},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.41313329339027405},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4042860269546509},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.39589300751686096},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.38618773221969604},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3675970137119293},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.21204379200935364},{"id":"https://openalex.org/C165646398","wikidata":"https://www.wikidata.org/wiki/Q3755281","display_name":"Minimum-variance unbiased estimator","level":3,"score":0.0},{"id":"https://openalex.org/C191393472","wikidata":"https://www.wikidata.org/wiki/Q15222032","display_name":"Bias of an estimator","level":4,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s00180-020-01048-1","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00180-020-01048-1","pdf_url":null,"source":{"id":"https://openalex.org/S8500805","display_name":"Computational Statistics","issn_l":"0943-4062","issn":["0943-4062","1613-9658"],"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":"Computational Statistics","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:spr:compst:v:36:y:2021:i:2:d:10.1007_s00180-020-01048-1","is_oa":false,"landing_page_url":"http://link.springer.com/10.1007/s00180-020-01048-1","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"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.7099999785423279,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321091","display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","ror":"https://ror.org/00x0ma614"},{"id":"https://openalex.org/F4320322025","display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/03swz6y49"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W187628563","https://openalex.org/W191129667","https://openalex.org/W1502400145","https://openalex.org/W1541794730","https://openalex.org/W1565909084","https://openalex.org/W1963691065","https://openalex.org/W1964809923","https://openalex.org/W1974162370","https://openalex.org/W1978012821","https://openalex.org/W1996624683","https://openalex.org/W2020781433","https://openalex.org/W2020844174","https://openalex.org/W2039307446","https://openalex.org/W2046031028","https://openalex.org/W2050880896","https://openalex.org/W2053695046","https://openalex.org/W2061052441","https://openalex.org/W2064952440","https://openalex.org/W2079724595","https://openalex.org/W2086957086","https://openalex.org/W2092543127","https://openalex.org/W2093879565","https://openalex.org/W2097872824","https://openalex.org/W2098179542","https://openalex.org/W2103325981","https://openalex.org/W2114652450","https://openalex.org/W2122227532","https://openalex.org/W2136104104","https://openalex.org/W2140667604","https://openalex.org/W2143304716","https://openalex.org/W2146842127","https://openalex.org/W2150149003","https://openalex.org/W2158940042","https://openalex.org/W2171406132","https://openalex.org/W2189303109","https://openalex.org/W2284872233","https://openalex.org/W2517416606","https://openalex.org/W2729804518","https://openalex.org/W2993463480","https://openalex.org/W3100431680","https://openalex.org/W3106385547","https://openalex.org/W4250507776","https://openalex.org/W4285719527","https://openalex.org/W4295332281"],"related_works":["https://openalex.org/W2391958761","https://openalex.org/W2793406240","https://openalex.org/W3128856671","https://openalex.org/W2164129707","https://openalex.org/W4382724518","https://openalex.org/W4300987207","https://openalex.org/W3203768433","https://openalex.org/W2497431972","https://openalex.org/W4292122269","https://openalex.org/W3207812757"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
