{"id":"https://openalex.org/W2201840673","doi":"https://doi.org/10.1109/lsp.2015.2503725","title":"A Simple Sampler for the Horseshoe Estimator","display_name":"A Simple Sampler for the Horseshoe Estimator","publication_year":2015,"publication_date":"2015-11-25","ids":{"openalex":"https://openalex.org/W2201840673","doi":"https://doi.org/10.1109/lsp.2015.2503725","mag":"2201840673"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2015.2503725","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2015.2503725","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1508.03884","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5023193568","display_name":"Enes Makalic","orcid":"https://orcid.org/0000-0003-3017-0871"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"The University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Enes Makalic","raw_affiliation_strings":["Centre of Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, VIC, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre of Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I165779595"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046316602","display_name":"Daniel F. Schmidt","orcid":"https://orcid.org/0000-0002-1788-2375"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"The University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Daniel F. Schmidt","raw_affiliation_strings":["Centre of Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, VIC, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre of Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I165779595"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I165779595"],"apc_list":null,"apc_paid":null,"fwci":6.0332,"has_fulltext":true,"cited_by_count":269,"citation_normalized_percentile":{"value":0.96774374,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"23","issue":"1","first_page":"179","last_page":"182"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9995999932289124,"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":0.9995999932289124,"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/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9991000294685364,"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":0.9990000128746033,"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/horseshoe","display_name":"Horseshoe (symbol)","score":0.848324716091156},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5208238363265991},{"id":"https://openalex.org/keywords/hierarchy","display_name":"Hierarchy","score":0.46643972396850586},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.4504448473453522},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.44393470883369446},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.4429226219654083},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.4145132005214691},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4128759503364563},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37267911434173584},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.36057525873184204}],"concepts":[{"id":"https://openalex.org/C2778268898","wikidata":"https://www.wikidata.org/wiki/Q5905943","display_name":"Horseshoe (symbol)","level":2,"score":0.848324716091156},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5208238363265991},{"id":"https://openalex.org/C31170391","wikidata":"https://www.wikidata.org/wiki/Q188619","display_name":"Hierarchy","level":2,"score":0.46643972396850586},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.4504448473453522},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.44393470883369446},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.4429226219654083},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.4145132005214691},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4128759503364563},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37267911434173584},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.36057525873184204},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C34447519","wikidata":"https://www.wikidata.org/wiki/Q179522","display_name":"Market economy","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/lsp.2015.2503725","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2015.2503725","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1508.03884","is_oa":true,"landing_page_url":"https://arxiv.org/abs/1508.03884","pdf_url":"https://arxiv.org/pdf/1508.03884","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"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1508.03884","is_oa":true,"landing_page_url":"https://arxiv.org/abs/1508.03884","pdf_url":"https://arxiv.org/pdf/1508.03884","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":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2201840673.pdf","grobid_xml":"https://content.openalex.org/works/W2201840673.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W32980360","https://openalex.org/W128740895","https://openalex.org/W1132474627","https://openalex.org/W1578641658","https://openalex.org/W1580282541","https://openalex.org/W1923906081","https://openalex.org/W1982652137","https://openalex.org/W1985093013","https://openalex.org/W2015749074","https://openalex.org/W2048971218","https://openalex.org/W2071558725","https://openalex.org/W2099878672","https://openalex.org/W2114169935","https://openalex.org/W2119444931","https://openalex.org/W2150847344","https://openalex.org/W2167943787","https://openalex.org/W2237620843","https://openalex.org/W2497431972","https://openalex.org/W2962978766","https://openalex.org/W2963047405","https://openalex.org/W3037265734","https://openalex.org/W4292691288","https://openalex.org/W6627308204","https://openalex.org/W6634687026","https://openalex.org/W6689663955","https://openalex.org/W6724205559"],"related_works":["https://openalex.org/W2336220840","https://openalex.org/W3112629601","https://openalex.org/W2358101014","https://openalex.org/W2352944842","https://openalex.org/W2093700670","https://openalex.org/W1585007175","https://openalex.org/W4287880334","https://openalex.org/W2033324483","https://openalex.org/W2365264209","https://openalex.org/W2382521049"],"abstract_inverted_index":{"In":[0],"this":[1],"note":[2],"we":[3],"derive":[4],"a":[5],"simple":[6],"Bayesian":[7],"sampler":[8],"for":[9],"linear":[10],"regression":[11,29],"with":[12],"the":[13,20,40,43,54,58],"horseshoe":[14,21],"hierarchy.":[15],"A":[16],"new":[17],"interpretation":[18],"of":[19,42,57],"model":[22],"is":[23],"presented,":[24],"and":[25,30],"extensions":[26],"to":[27,39,51],"logistic":[28],"alternative":[31],"hierarchies,":[32],"such":[33],"as":[34],"horseshoe+,":[35],"are":[36],"discussed.":[37],"Due":[38],"conjugacy":[41],"proposed":[44],"hierarchy,":[45],"Chib's":[46],"algorithm":[47],"may":[48],"be":[49],"used":[50],"easily":[52],"compute":[53],"marginal":[55],"likelihood":[56],"model.":[59]},"counts_by_year":[{"year":2026,"cited_by_count":17},{"year":2025,"cited_by_count":29},{"year":2024,"cited_by_count":37},{"year":2023,"cited_by_count":32},{"year":2022,"cited_by_count":44},{"year":2021,"cited_by_count":40},{"year":2020,"cited_by_count":29},{"year":2019,"cited_by_count":22},{"year":2018,"cited_by_count":10},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":4}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}