{"id":"https://openalex.org/W1983655951","doi":"https://doi.org/10.1007/s11222-005-4790-z","title":"Slice sampling for simulation based fitting of spatial data models","display_name":"Slice sampling for simulation based fitting of spatial data models","publication_year":2005,"publication_date":"2005-01-01","ids":{"openalex":"https://openalex.org/W1983655951","doi":"https://doi.org/10.1007/s11222-005-4790-z","mag":"1983655951"},"language":"en","primary_location":{"id":"doi:10.1007/s11222-005-4790-z","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11222-005-4790-z","pdf_url":null,"source":{"id":"https://openalex.org/S5437875","display_name":"Statistics and Computing","issn_l":"0960-3174","issn":["0960-3174","1573-1375"],"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":"Statistics and Computing","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/A5101736090","display_name":"Deepak K. Agarwal","orcid":"https://orcid.org/0009-0003-0766-1899"},"institutions":[{"id":"https://openalex.org/I1283103587","display_name":"AT&T (United States)","ror":"https://ror.org/02bbd5539","country_code":"US","type":"company","lineage":["https://openalex.org/I1283103587"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Deepak K. Agarwal","raw_affiliation_strings":["Senior Technical Staff Member, AT&T Shannon Labs, Florham Park, NJ, 07932-0791, USA","Senior Technical Staff Member, AT&T Shannon Labs, Florham Park, USA 07932-0791#TAB#"],"affiliations":[{"raw_affiliation_string":"Senior Technical Staff Member, AT&T Shannon Labs, Florham Park, NJ, 07932-0791, USA","institution_ids":["https://openalex.org/I1283103587"]},{"raw_affiliation_string":"Senior Technical Staff Member, AT&T Shannon Labs, Florham Park, USA 07932-0791#TAB#","institution_ids":["https://openalex.org/I1283103587"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042522667","display_name":"Alan E. Gelfand","orcid":"https://orcid.org/0000-0002-5671-9212"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alan E. Gelfand","raw_affiliation_strings":["Department of Statistics and Decision Sciences, Duke University, Durham, USA 27708-0251"],"affiliations":[{"raw_affiliation_string":"Department of Statistics and Decision Sciences, Duke University, Durham, USA 27708-0251","institution_ids":["https://openalex.org/I170897317"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101736090"],"corresponding_institution_ids":["https://openalex.org/I1283103587"],"apc_list":{"value":2090,"currency":"EUR","value_usd":2690},"apc_paid":null,"fwci":4.2213,"has_fulltext":false,"cited_by_count":41,"citation_normalized_percentile":{"value":0.9280329,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"15","issue":"1","first_page":"61","last_page":"69"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10770","display_name":"Soil Geostatistics and Mapping","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10770","display_name":"Soil Geostatistics and Mapping","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13126","display_name":"Scientific Research and Discoveries","score":0.9768000245094299,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear 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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9713000059127808,"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/computer-science","display_name":"Computer science","score":0.6744117736816406},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.6048562526702881},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5728704929351807},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5474451780319214},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5197986364364624},{"id":"https://openalex.org/keywords/slice-sampling","display_name":"Slice sampling","score":0.5168778896331787},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.47675901651382446},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.4747857451438904},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.47354739904403687},{"id":"https://openalex.org/keywords/metropolis\u2013hastings-algorithm","display_name":"Metropolis\u2013Hastings algorithm","score":0.4617379605770111},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.4204394817352295},{"id":"https://openalex.org/keywords/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.3539119362831116},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30872324109077454},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.25651466846466064},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2526475787162781}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6744117736816406},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.6048562526702881},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5728704929351807},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5474451780319214},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5197986364364624},{"id":"https://openalex.org/C170593435","wikidata":"https://www.wikidata.org/wiki/Q4128565","display_name":"Slice sampling","level":4,"score":0.5168778896331787},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.47675901651382446},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.4747857451438904},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.47354739904403687},{"id":"https://openalex.org/C204693719","wikidata":"https://www.wikidata.org/wiki/Q910810","display_name":"Metropolis\u2013Hastings algorithm","level":4,"score":0.4617379605770111},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.4204394817352295},{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.3539119362831116},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30872324109077454},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.25651466846466064},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2526475787162781},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"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":1,"locations":[{"id":"doi:10.1007/s11222-005-4790-z","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11222-005-4790-z","pdf_url":null,"source":{"id":"https://openalex.org/S5437875","display_name":"Statistics and Computing","issn_l":"0960-3174","issn":["0960-3174","1573-1375"],"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":"Statistics and Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W18553681","https://openalex.org/W32980360","https://openalex.org/W55912154","https://openalex.org/W1556278552","https://openalex.org/W1558421118","https://openalex.org/W1563241186","https://openalex.org/W1969466749","https://openalex.org/W1988165517","https://openalex.org/W1988684120","https://openalex.org/W1989457171","https://openalex.org/W2007832013","https://openalex.org/W2014079126","https://openalex.org/W2032113267","https://openalex.org/W2044458598","https://openalex.org/W2059448777","https://openalex.org/W2060624994","https://openalex.org/W2108207895","https://openalex.org/W2111143989","https://openalex.org/W2120062331","https://openalex.org/W2128981260","https://openalex.org/W2143022286","https://openalex.org/W2148534890","https://openalex.org/W2152977846","https://openalex.org/W2161767008","https://openalex.org/W2168464387","https://openalex.org/W2403035479","https://openalex.org/W2496675188","https://openalex.org/W2573715514","https://openalex.org/W2796930440","https://openalex.org/W2801179766","https://openalex.org/W3037265734","https://openalex.org/W4237961478","https://openalex.org/W4254259096","https://openalex.org/W4301436980","https://openalex.org/W6683852811","https://openalex.org/W6777472928"],"related_works":["https://openalex.org/W2956835927","https://openalex.org/W3087071515","https://openalex.org/W2914481316","https://openalex.org/W1483435625","https://openalex.org/W4300877486","https://openalex.org/W1526222228","https://openalex.org/W1983781823","https://openalex.org/W1848375580","https://openalex.org/W1483665564","https://openalex.org/W4288261522"],"abstract_inverted_index":null,"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":3}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
