{"id":"https://openalex.org/W2963341094","doi":"https://doi.org/10.48550/arxiv.1510.02958","title":"Pseudo-Marginal Slice Sampling","display_name":"Pseudo-Marginal Slice Sampling","publication_year":2015,"publication_date":"2015-10-10","ids":{"openalex":"https://openalex.org/W2963341094","doi":"https://doi.org/10.48550/arxiv.1510.02958","mag":"2963341094"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:1510.02958","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1510.02958","pdf_url":"https://arxiv.org/pdf/1510.02958","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1510.02958","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5106707885","display_name":"Iain Murray","orcid":"https://orcid.org/0000-0002-6506-0472","observed_orcids":["https://orcid.org/0000-0002-6506-0472"]},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Murray, Iain","raw_affiliation_strings":["University of Edinburgh University of Edinburgh","School of Informatics"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Edinburgh University of Edinburgh","institution_ids":["https://openalex.org/I98677209"]},{"raw_affiliation_string":"School of Informatics","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039079586","display_name":"Matthew M. Graham","orcid":"https://orcid.org/0000-0001-9104-7960","observed_orcids":["https://orcid.org/0000-0001-9104-7960"]},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Graham, Matthew M.","raw_affiliation_strings":["University of Edinburgh University of Edinburgh","Neuroinformatics DTC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Edinburgh University of Edinburgh","institution_ids":["https://openalex.org/I98677209"]},{"raw_affiliation_string":"Neuroinformatics DTC","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I98677209"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":25,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"911","last_page":"919"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12056","display_name":"Markov Chains and Monte Carlo Methods","score":1.0,"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/T12056","display_name":"Markov Chains and Monte Carlo Methods","score":1.0,"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/T10591","display_name":"Theoretical and Computational Physics","score":0.0,"subfield":{"id":"https://openalex.org/subfields/3104","display_name":"Condensed Matter Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.0,"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/slice-sampling","display_name":"slice sampling","score":0.9679999947547913},{"id":"https://openalex.org/keywords/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.9160000085830688},{"id":"https://openalex.org/keywords/unbiased-estimators","display_name":"unbiased estimators","score":0.9700000286102295},{"id":"https://openalex.org/keywords/adaptive-sampling","display_name":"adaptive sampling","score":0.7559999823570251},{"id":"https://openalex.org/keywords/markov-chain-mixing","display_name":"Markov chain mixing","score":0.6729999780654907}],"concepts":[{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.8637453317642212},{"id":"https://openalex.org/C170593435","wikidata":"https://www.wikidata.org/wiki/Q4128565","display_name":"Slice sampling","level":4,"score":0.6859021782875061},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.641974687576294},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5965052247047424},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.542621374130249},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5346001982688904},{"id":"https://openalex.org/C165216359","wikidata":"https://www.wikidata.org/wiki/Q670653","display_name":"Marginal distribution","level":3,"score":0.4844813048839569},{"id":"https://openalex.org/C52740198","wikidata":"https://www.wikidata.org/wiki/Q1539564","display_name":"Importance sampling","level":3,"score":0.44354745745658875},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4227468967437744},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.42271268367767334},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4009094834327698},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.39955949783325195},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.3409254252910614},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.29581403732299805},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"pmh:oai:arXiv.org:1510.02958","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1510.02958","pdf_url":"https://arxiv.org/pdf/1510.02958","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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:pure.ed.ac.uk:openaire/52c574f4-5899-4b83-b97b-7562608b94b0","doi":null,"is_oa":true,"landing_page_url":"https://www.research.ed.ac.uk/en/publications/52c574f4-5899-4b83-b97b-7562608b94b0","pdf_url":"https://www.research.ed.ac.uk/files/25457293/murray16.pdf","source":{"id":"https://openalex.org/S4306400321","display_name":"Edinburgh Research Explorer (University of Edinburgh)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I98677209","host_organization_name":"University of Edinburgh","host_organization_lineage":["https://openalex.org/I98677209"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Murray, I & Graham, M 2016, Pseudo-Marginal Slice Sampling. in Proceedings of the 19th International Conference on Artificial Intelligence and Statistics 2016. vol. 51, Cadiz, Spain, pp. 911-919, 19th International Conference on Artificial Intelligence and Statistics, Cadiz, Spain, 9/05/16. < http://jmlr.org/proceedings/papers/v51/ >","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"doi:10.48550/arxiv.1510.02958","doi":"https://doi.org/10.48550/arxiv.1510.02958","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1510.02958","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},{"id":"mag:2963341094","doi":null,"is_oa":false,"landing_page_url":"http://proceedings.mlr.press/v51/murray16.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306419146","display_name":"International Conference on Artificial Intelligence and Statistics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"International Conference on Artificial Intelligence and Statistics","raw_type":null}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1510.02958","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1510.02958","pdf_url":"https://arxiv.org/pdf/1510.02958","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G1521613574","display_name":null,"funder_award_id":"BB/F529254/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G2939866019","display_name":null,"funder_award_id":"F500385/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G3787803430","display_name":null,"funder_award_id":"F529254/1","funder_id":"https://openalex.org/F4320334629","funder_display_name":"Biotechnology and Biological Sciences Research Council"},{"id":"https://openalex.org/G5310261134","display_name":null,"funder_award_id":"EP/F500385/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G7316528640","display_name":"LSI Doctoral Training Centres - Neuroinformatics and computational neuroscience","funder_award_id":"BB/F529254/1","funder_id":"https://openalex.org/F4320334629","funder_display_name":"Biotechnology and Biological Sciences Research Council"},{"id":"https://openalex.org/G902675742","display_name":null,"funder_award_id":"EP/F500385/1","funder_id":"https://openalex.org/F4320334629","funder_display_name":"Biotechnology and Biological Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320332167","display_name":"Directorate for Biological Sciences","ror":"https://ror.org/001xhss06"},{"id":"https://openalex.org/F4320334626","display_name":"Medical Research Council","ror":"https://ror.org/03x94j517"},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"},{"id":"https://openalex.org/F4320334629","display_name":"Biotechnology and Biological Sciences Research Council","ror":"https://ror.org/00cwqg982"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2963341094.pdf","grobid_xml":"https://content.openalex.org/works/W2963341094.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W1501586228","https://openalex.org/W1513873506","https://openalex.org/W1533758202","https://openalex.org/W1549853756","https://openalex.org/W1783782352","https://openalex.org/W1830883013","https://openalex.org/W2001604684","https://openalex.org/W2030911724","https://openalex.org/W2033900415","https://openalex.org/W2043529353","https://openalex.org/W2047978125","https://openalex.org/W2064765262","https://openalex.org/W2091860746","https://openalex.org/W2105556268","https://openalex.org/W2123726866","https://openalex.org/W2125280835","https://openalex.org/W2134117233","https://openalex.org/W2134827050","https://openalex.org/W2148534890","https://openalex.org/W2233986972","https://openalex.org/W2561536052","https://openalex.org/W2963977107","https://openalex.org/W3037265734"],"related_works":["https://openalex.org/W7097049191","https://openalex.org/W7098078277","https://openalex.org/W2794569650","https://openalex.org/W7099457057","https://openalex.org/W3003392732","https://openalex.org/W2091860746","https://openalex.org/W7098168668","https://openalex.org/W2970431438","https://openalex.org/W2010982255","https://openalex.org/W2264366800"],"abstract_inverted_index":{"Markov":[0,30,90],"chain":[1],"Monte":[2],"Carlo":[3],"(MCMC)":[4],"methods":[5],"asymptotically":[6],"sample":[7],"from":[8],"complex":[9],"probability":[10,24],"distributions.":[11],"The":[12],"pseudo-marginal":[13,70],"MCMC":[14],"framework":[15,76],"only":[16],"requires":[17],"an":[18],"unbiased":[19,72],"estimator":[20],"of":[21,50],"the":[22,33,48,64],"unnormalized":[23],"distribution":[25,43],"function":[26],"to":[27,38,40,60],"construct":[28],"a":[29,41,57,69],"chain.":[31],"However,":[32],"resulting":[34],"chains":[35],"are":[36,53],"harder":[37],"tune":[39],"target":[42],"than":[44],"conventional":[45],"MCMC,":[46],"and":[47,62,82],"types":[49],"updates":[51],"available":[52],"limited.":[54],"We":[55,86],"describe":[56],"general":[58],"way":[59],"clamp":[61],"update":[63],"random":[65],"numbers":[66],"used":[67],"in":[68],"method's":[71],"estimator.":[73],"In":[74],"this":[75],"we":[77],"can":[78],"use":[79],"slice":[80],"sampling":[81],"other":[83],"adaptive":[84],"methods.":[85],"obtain":[87],"more":[88,95],"robust":[89],"chains,":[91],"which":[92],"often":[93],"mix":[94],"quickly.":[96]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":5},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":8}],"updated_date":"2026-11-05T12:25:35.769452","created_date":"2019-07-30T00:00:00"}
