{"id":"https://openalex.org/W2963566068","doi":"https://doi.org/10.32614/rj-2017-052","title":"BayesBD: An R Package for Bayesian Inference on Image Boundaries","display_name":"BayesBD: An R Package for Bayesian Inference on Image Boundaries","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2963566068","doi":"https://doi.org/10.32614/rj-2017-052","mag":"2963566068"},"language":"en","primary_location":{"id":"doi:10.32614/rj-2017-052","is_oa":true,"landing_page_url":"https://doi.org/10.32614/rj-2017-052","pdf_url":"https://journal.r-project.org/archive/2017/RJ-2017-052/RJ-2017-052.pdf","source":{"id":"https://openalex.org/S2489169438","display_name":"The R Journal","issn_l":"2073-4859","issn":["2073-4859"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The R Journal","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://journal.r-project.org/archive/2017/RJ-2017-052/RJ-2017-052.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070473780","display_name":"Nicholas Syring","orcid":"https://orcid.org/0000-0002-8839-3309"},"institutions":[{"id":"https://openalex.org/I74775410","display_name":"Rice University","ror":"https://ror.org/008zs3103","country_code":"US","type":"education","lineage":["https://openalex.org/I74775410"]},{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Nicholas Syring","raw_affiliation_strings":["Rice University Department of Statistics 6100 Main St Houston, TX 77251-1892 USA","Department of Statistics North Carolina State University, 5109 SAS Hall 2311 Stinson Dr. Raleigh, NC 27695 USA"],"affiliations":[{"raw_affiliation_string":"Rice University Department of Statistics 6100 Main St Houston, TX 77251-1892 USA","institution_ids":["https://openalex.org/I74775410"]},{"raw_affiliation_string":"Department of Statistics North Carolina State University, 5109 SAS Hall 2311 Stinson Dr. Raleigh, NC 27695 USA","institution_ids":["https://openalex.org/I137902535"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100457556","display_name":"Meng Li","orcid":"https://orcid.org/0000-0003-2123-2444"},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]},{"id":"https://openalex.org/I74775410","display_name":"Rice University","ror":"https://ror.org/008zs3103","country_code":"US","type":"education","lineage":["https://openalex.org/I74775410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Meng Li","raw_affiliation_strings":["Department of Statistics North Carolina State University, 5109 SAS Hall 2311 Stinson Dr. Raleigh, NC 27695 USA","Rice University Department of Statistics 6100 Main St Houston, TX 77251-1892 USA"],"affiliations":[{"raw_affiliation_string":"Department of Statistics North Carolina State University, 5109 SAS Hall 2311 Stinson Dr. Raleigh, NC 27695 USA","institution_ids":["https://openalex.org/I137902535"]},{"raw_affiliation_string":"Rice University Department of Statistics 6100 Main St Houston, TX 77251-1892 USA","institution_ids":["https://openalex.org/I74775410"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5070473780"],"corresponding_institution_ids":["https://openalex.org/I137902535","https://openalex.org/I74775410"],"apc_list":null,"apc_paid":null,"fwci":0.195,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.66719875,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"9","issue":"2","first_page":"149","last_page":"149"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9919999837875366,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9919999837875366,"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/T10136","display_name":"Statistical Methods and Inference","score":0.9812999963760376,"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/T10836","display_name":"Metabolomics and Mass Spectrometry Studies","score":0.972599983215332,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6936235427856445},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6191040873527527},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.6039375066757202},{"id":"https://openalex.org/keywords/minimax","display_name":"Minimax","score":0.5916686058044434},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.5577036738395691},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.5380837917327881},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5343261361122131},{"id":"https://openalex.org/keywords/smoothness","display_name":"Smoothness","score":0.5342171788215637},{"id":"https://openalex.org/keywords/r-package","display_name":"R package","score":0.5221186876296997},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.5158297419548035},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.5143715143203735},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5001664161682129},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.42544275522232056},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40568670630455017},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3619658350944519},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3543497323989868},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3341131806373596},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3318607211112976},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19020140171051025},{"id":"https://openalex.org/keywords/computational-science","display_name":"Computational science","score":0.14016076922416687},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11259046196937561}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6936235427856445},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6191040873527527},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.6039375066757202},{"id":"https://openalex.org/C149728462","wikidata":"https://www.wikidata.org/wiki/Q751319","display_name":"Minimax","level":2,"score":0.5916686058044434},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.5577036738395691},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.5380837917327881},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5343261361122131},{"id":"https://openalex.org/C102634674","wikidata":"https://www.wikidata.org/wiki/Q868473","display_name":"Smoothness","level":2,"score":0.5342171788215637},{"id":"https://openalex.org/C2984074130","wikidata":"https://www.wikidata.org/wiki/Q73539779","display_name":"R package","level":2,"score":0.5221186876296997},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.5158297419548035},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.5143715143203735},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5001664161682129},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.42544275522232056},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40568670630455017},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3619658350944519},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3543497323989868},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3341131806373596},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3318607211112976},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19020140171051025},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.14016076922416687},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11259046196937561},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.32614/rj-2017-052","is_oa":true,"landing_page_url":"https://doi.org/10.32614/rj-2017-052","pdf_url":"https://journal.r-project.org/archive/2017/RJ-2017-052/RJ-2017-052.pdf","source":{"id":"https://openalex.org/S2489169438","display_name":"The R Journal","issn_l":"2073-4859","issn":["2073-4859"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The R Journal","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.32614/rj-2017-052","is_oa":true,"landing_page_url":"https://doi.org/10.32614/rj-2017-052","pdf_url":"https://journal.r-project.org/archive/2017/RJ-2017-052/RJ-2017-052.pdf","source":{"id":"https://openalex.org/S2489169438","display_name":"The R Journal","issn_l":"2073-4859","issn":["2073-4859"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The R Journal","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2963566068.pdf","grobid_xml":"https://content.openalex.org/works/W2963566068.grobid-xml"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W161217653","https://openalex.org/W255181480","https://openalex.org/W575188651","https://openalex.org/W585085135","https://openalex.org/W1499677203","https://openalex.org/W1554663368","https://openalex.org/W1979393293","https://openalex.org/W2001085894","https://openalex.org/W2020999234","https://openalex.org/W2038862184","https://openalex.org/W2040303896","https://openalex.org/W2102332347","https://openalex.org/W2106201557","https://openalex.org/W2116216752","https://openalex.org/W2128650447","https://openalex.org/W2135451472","https://openalex.org/W2138309709","https://openalex.org/W2157596407","https://openalex.org/W2173122598","https://openalex.org/W2217710247","https://openalex.org/W2478338686","https://openalex.org/W2905148377","https://openalex.org/W2993281142","https://openalex.org/W4246464108","https://openalex.org/W4399584188","https://openalex.org/W4399590447","https://openalex.org/W6632974464"],"related_works":["https://openalex.org/W2580650124","https://openalex.org/W4386190339","https://openalex.org/W2968424575","https://openalex.org/W3142333283","https://openalex.org/W3122088529","https://openalex.org/W2085259108","https://openalex.org/W2016058626","https://openalex.org/W3041320102","https://openalex.org/W4287899646","https://openalex.org/W3035032733"],"abstract_inverted_index":{"We":[0,138],"present":[1],"the":[2,23,27,42,76,105,109,113,117,122,153,162],"BayesBD":[3,14,40,140,159],"package":[4,15,110,123],"providing":[5],"Bayesian":[6],"inference":[7],"for":[8,83,94],"boundaries":[9],"of":[10,45,63,108,136,158],"noisy":[11],"images.":[12],"The":[13,36,79],"implements":[16],"flexible":[17],"Gaussian":[18,33],"process":[19],"priors":[20],"indexed":[21],"by":[22,39],"circle":[24],"to":[25,58,75,128],"recover":[26],"boundary":[28,37],"in":[29,56,69,92,111,131],"a":[30,70],"binary":[31],"or":[32],"noised":[34],"image.":[35],"recovered":[38],"has":[41],"practical":[43],"advantages":[44],"guaranteed":[46],"geometric":[47],"restrictions":[48],"and":[49,89,100,116,134,148,156],"convenient":[50],"joint":[51],"inferences":[52],"under":[53],"certain":[54],"assumptions,":[55],"addition":[57],"its":[59,171],"desirable":[60],"theoretical":[61],"property":[62],"achieving":[64],"(nearly)":[65],"minimax":[66],"optimal":[67],"rate":[68],"way":[71],"that":[72,168],"is":[73],"adaptive":[74],"unknown":[77],"smoothness.":[78],"core":[80],"sampling":[81],"tasks":[82],"our":[84],"model":[85],"have":[86],"linear":[87],"complexity,":[88],"are":[90],"implemented":[91],"C++":[93],"computational":[95],"efficiency":[96],"using":[97,145],"packages":[98,144],"Rcpp":[99],"RcppArmadillo.":[101],"Users":[102],"can":[103],"access":[104],"full":[106],"functionality":[107],"both":[112,146],"command":[114],"line":[115],"corresponding":[118],"shiny":[119],"application.":[120],"Additionally,":[121],"includes":[124],"numerous":[125],"utility":[126],"functions":[127],"aid":[129],"users":[130],"data":[132,150],"preparation":[133],"analysis":[135],"results.":[137],"compare":[139],"with":[141],"selected":[142],"existing":[143],"simulations":[147],"real":[149],"applications,":[151],"demonstrating":[152],"excellent":[154],"performance":[155],"flexibility":[157],"even":[160],"when":[161],"observation":[163],"contains":[164],"complicated":[165],"structural":[166],"information":[167],"may":[169],"violate":[170],"assumptions.":[172]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"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"}
