{"id":"https://openalex.org/W2059411491","doi":"https://doi.org/10.1016/s0167-9473(03)00034-3","title":"A Bayesian approach to seriation problems in archaeology","display_name":"A Bayesian approach to seriation problems in archaeology","publication_year":2003,"publication_date":"2003-03-25","ids":{"openalex":"https://openalex.org/W2059411491","doi":"https://doi.org/10.1016/s0167-9473(03)00034-3","mag":"2059411491"},"language":"en","primary_location":{"id":"doi:10.1016/s0167-9473(03)00034-3","is_oa":false,"landing_page_url":"https://doi.org/10.1016/s0167-9473(03)00034-3","pdf_url":null,"source":{"id":"https://openalex.org/S132362803","display_name":"Computational Statistics & Data Analysis","issn_l":"0167-9473","issn":["0167-9473","1872-7352"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Statistics &amp; Data Analysis","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/A5048061624","display_name":"Ulrich Halekoh","orcid":"https://orcid.org/0000-0003-3679-8424"},"institutions":[{"id":"https://openalex.org/I161046081","display_name":"University of Freiburg","ror":"https://ror.org/0245cg223","country_code":"DE","type":"education","lineage":["https://openalex.org/I161046081"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"U. Halekoh","raw_affiliation_strings":["Centre for Data Analysis and Modelling, University of Freiburg, Eckerstra\u00dfe 1, D-79110 Freiburg i. Br., Germany"],"affiliations":[{"raw_affiliation_string":"Centre for Data Analysis and Modelling, University of Freiburg, Eckerstra\u00dfe 1, D-79110 Freiburg i. Br., Germany","institution_ids":["https://openalex.org/I161046081"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071006594","display_name":"Werner Vach","orcid":"https://orcid.org/0000-0003-1865-8399"},"institutions":[{"id":"https://openalex.org/I177969490","display_name":"University of Southern Denmark","ror":"https://ror.org/03yrrjy16","country_code":"DK","type":"education","lineage":["https://openalex.org/I177969490"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"W. Vach","raw_affiliation_strings":["Department of Statistics and Demography, University of Southern Denmark, Campusvej 55, DK-5230 Odense M, Denmark"],"affiliations":[{"raw_affiliation_string":"Department of Statistics and Demography, University of Southern Denmark, Campusvej 55, DK-5230 Odense M, Denmark","institution_ids":["https://openalex.org/I177969490"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5048061624"],"corresponding_institution_ids":["https://openalex.org/I161046081"],"apc_list":{"value":3340,"currency":"USD","value_usd":3340},"apc_paid":null,"fwci":3.2772,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.92428336,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"45","issue":"3","first_page":"651","last_page":"673"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9983999729156494,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9983999729156494,"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/T12056","display_name":"Markov Chains and Monte Carlo Methods","score":0.9883000254631042,"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/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9799000024795532,"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/seriation","display_name":"Seriation (archaeology)","score":0.6623448729515076},{"id":"https://openalex.org/keywords/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.6533927917480469},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.6372347474098206},{"id":"https://openalex.org/keywords/posterior-probability","display_name":"Posterior probability","score":0.6078979969024658},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5139371752738953},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5011911392211914},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.5010178089141846},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.42169463634490967},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32350802421569824},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29531747102737427},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.29504284262657166},{"id":"https://openalex.org/keywords/archaeology","display_name":"Archaeology","score":0.18960973620414734},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.143540620803833},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10452046990394592}],"concepts":[{"id":"https://openalex.org/C103303479","wikidata":"https://www.wikidata.org/wiki/Q358095","display_name":"Seriation (archaeology)","level":2,"score":0.6623448729515076},{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.6533927917480469},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.6372347474098206},{"id":"https://openalex.org/C57830394","wikidata":"https://www.wikidata.org/wiki/Q278079","display_name":"Posterior probability","level":3,"score":0.6078979969024658},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5139371752738953},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5011911392211914},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5010178089141846},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.42169463634490967},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32350802421569824},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29531747102737427},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.29504284262657166},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.18960973620414734},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.143540620803833},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10452046990394592},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1016/s0167-9473(03)00034-3","is_oa":false,"landing_page_url":"https://doi.org/10.1016/s0167-9473(03)00034-3","pdf_url":null,"source":{"id":"https://openalex.org/S132362803","display_name":"Computational Statistics & Data Analysis","issn_l":"0167-9473","issn":["0167-9473","1872-7352"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Statistics &amp; Data Analysis","raw_type":"journal-article"},{"id":"pmh:oai:pure.atira.dk:publications/fec28e10-cc1e-11db-8e26-000ea68e967b","is_oa":false,"landing_page_url":"https://pure.au.dk/portal/en/publications/fec28e10-cc1e-11db-8e26-000ea68e967b","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Halekoh, U & Vach, W 2004, 'A Bayesian approach to seriation problems in archaeology', Computational Statistics & Data Analysis, vol. 45, no. 3, pp. 651-673. https://doi.org/10.1016/S0167-9473(03)00034-3","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:sdu.dk:openaire_cris_publications/9b886050-fc79-11db-9e98-000ea68e967b","is_oa":false,"landing_page_url":"https://portal.findresearcher.sdu.dk/da/publications/9b886050-fc79-11db-9e98-000ea68e967b","pdf_url":null,"source":{"id":"https://openalex.org/S4306400423","display_name":"University of Southern Denmark Research Portal (University of Southern Denmark)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I177969490","host_organization_name":"University of Southern Denmark","host_organization_lineage":["https://openalex.org/I177969490"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Halekoh, U & Vach, W 2004, 'A Bayesian Approach to Seriation Problems in Archaeology.', Computational Statistics & Data Analysis, vol. 45, pp. 651-73.","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:RePEc:eee:csdana:v:45:y:2004:i:3:p:651-673","is_oa":false,"landing_page_url":"http://www.sciencedirect.com/science/article/pii/S0167-9473(03)00034-3","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":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.4000000059604645}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W128740895","https://openalex.org/W134855704","https://openalex.org/W1565709818","https://openalex.org/W1576534100","https://openalex.org/W1968775580","https://openalex.org/W1982888037","https://openalex.org/W1995047796","https://openalex.org/W2017899835","https://openalex.org/W2020999234","https://openalex.org/W2043432627","https://openalex.org/W2043561545","https://openalex.org/W2052696562","https://openalex.org/W2064677702","https://openalex.org/W2069271851","https://openalex.org/W2072259667","https://openalex.org/W2072501246","https://openalex.org/W2081469766","https://openalex.org/W2083875149","https://openalex.org/W2106706098","https://openalex.org/W2106911573","https://openalex.org/W2130416410","https://openalex.org/W2136796925","https://openalex.org/W2204383650","https://openalex.org/W2240782814","https://openalex.org/W2312474531","https://openalex.org/W2319576313","https://openalex.org/W2794107378","https://openalex.org/W2795873946","https://openalex.org/W2800852802","https://openalex.org/W3018707665","https://openalex.org/W4233212183","https://openalex.org/W4246833555","https://openalex.org/W4298153449","https://openalex.org/W4300025716","https://openalex.org/W4302434451","https://openalex.org/W6633901960","https://openalex.org/W6648974641","https://openalex.org/W6668716609","https://openalex.org/W6689991500","https://openalex.org/W6749825788","https://openalex.org/W6776415191","https://openalex.org/W6819414821"],"related_works":["https://openalex.org/W71678127","https://openalex.org/W4205763938","https://openalex.org/W2157655363","https://openalex.org/W2292189132","https://openalex.org/W4288092343","https://openalex.org/W4386114318","https://openalex.org/W2134332527","https://openalex.org/W2888496681","https://openalex.org/W2790979771","https://openalex.org/W2032094637"],"abstract_inverted_index":null,"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":8},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
