{"id":"https://openalex.org/W2735751036","doi":"https://doi.org/10.1007/978-3-319-61982-8_1","title":"Scalable Algorithms for Bayesian Inference of\u00a0Large-Scale Models from Large-Scale Data","display_name":"Scalable Algorithms for Bayesian Inference of\u00a0Large-Scale Models from Large-Scale Data","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2735751036","doi":"https://doi.org/10.1007/978-3-319-61982-8_1","mag":"2735751036"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-61982-8_1","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-61982-8_1","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5103016627","display_name":"Omar Ghattas","orcid":"https://orcid.org/0000-0002-4384-7266"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Omar Ghattas","raw_affiliation_strings":["Institute for Computational Engineering and Sciences, Departments of Geological Sciences and Mechanical Engineering, The University of Texas at Austin, Austin, USA"],"affiliations":[{"raw_affiliation_string":"Institute for Computational Engineering and Sciences, Departments of Geological Sciences and Mechanical Engineering, The University of Texas at Austin, Austin, USA","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006603988","display_name":"Tobin Isaac","orcid":"https://orcid.org/0000-0002-2628-3585"},"institutions":[{"id":"https://openalex.org/I40347166","display_name":"University of Chicago","ror":"https://ror.org/024mw5h28","country_code":"US","type":"education","lineage":["https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tobin Isaac","raw_affiliation_strings":["Computation Institute, University of Chicago, Chicago, USA"],"affiliations":[{"raw_affiliation_string":"Computation Institute, University of Chicago, Chicago, USA","institution_ids":["https://openalex.org/I40347166"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057284080","display_name":"No\u00e9mi Petra","orcid":"https://orcid.org/0000-0002-9491-0034"},"institutions":[{"id":"https://openalex.org/I156087764","display_name":"University of California, Merced","ror":"https://ror.org/00d9ah105","country_code":"US","type":"education","lineage":["https://openalex.org/I156087764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"No\u00e9mi Petra","raw_affiliation_strings":["School of Natural Sciences, University of California, Merced, Merced, USA"],"affiliations":[{"raw_affiliation_string":"School of Natural Sciences, University of California, Merced, Merced, USA","institution_ids":["https://openalex.org/I156087764"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012373865","display_name":"Georg Stadler","orcid":"https://orcid.org/0000-0001-7762-6544"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]},{"id":"https://openalex.org/I36672615","display_name":"Courant Institute of Mathematical Sciences","ror":"https://ror.org/037tm7f56","country_code":"US","type":"education","lineage":["https://openalex.org/I36672615","https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Georg Stadler","raw_affiliation_strings":["Courant Institute for Mathematical Sciences, New York University, New York, USA"],"affiliations":[{"raw_affiliation_string":"Courant Institute for Mathematical Sciences, New York University, New York, USA","institution_ids":["https://openalex.org/I36672615","https://openalex.org/I57206974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5103016627"],"corresponding_institution_ids":["https://openalex.org/I86519309"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12980552,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11801","display_name":"Reservoir Engineering and Simulation Methods","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11801","display_name":"Reservoir Engineering and Simulation Methods","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9925000071525574,"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/T10894","display_name":"Groundwater flow and contamination studies","score":0.9832000136375427,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7344109416007996},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6133290529251099},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5301913619041443},{"id":"https://openalex.org/keywords/aerospace","display_name":"Aerospace","score":0.5106013417243958},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5008153915405273},{"id":"https://openalex.org/keywords/complex-system","display_name":"Complex system","score":0.481989324092865},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4696309566497803},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.4469246566295624},{"id":"https://openalex.org/keywords/inverse-problem","display_name":"Inverse problem","score":0.4328339397907257},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4105174243450165},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3392564058303833},{"id":"https://openalex.org/keywords/computational-science","display_name":"Computational science","score":0.3295621871948242},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2959660291671753},{"id":"https://openalex.org/keywords/aerospace-engineering","display_name":"Aerospace engineering","score":0.15216973423957825},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09551912546157837}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7344109416007996},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6133290529251099},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5301913619041443},{"id":"https://openalex.org/C167740415","wikidata":"https://www.wikidata.org/wiki/Q2876213","display_name":"Aerospace","level":2,"score":0.5106013417243958},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5008153915405273},{"id":"https://openalex.org/C47822265","wikidata":"https://www.wikidata.org/wiki/Q854457","display_name":"Complex system","level":2,"score":0.481989324092865},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4696309566497803},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.4469246566295624},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.4328339397907257},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4105174243450165},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3392564058303833},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.3295621871948242},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2959660291671753},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.15216973423957825},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09551912546157837},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","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/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-319-61982-8_1","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-61982-8_1","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1575501007","https://openalex.org/W1910855269","https://openalex.org/W1944619174","https://openalex.org/W1957459737","https://openalex.org/W1979313559","https://openalex.org/W1985685378","https://openalex.org/W2019119172","https://openalex.org/W2023944418","https://openalex.org/W2074836377","https://openalex.org/W2079118382","https://openalex.org/W2082261407","https://openalex.org/W2101259661","https://openalex.org/W2102074292","https://openalex.org/W2315057816","https://openalex.org/W2332163904","https://openalex.org/W2497021759","https://openalex.org/W2517666902","https://openalex.org/W2962707560","https://openalex.org/W2962841346","https://openalex.org/W2963427446","https://openalex.org/W2964225090","https://openalex.org/W2964324126","https://openalex.org/W3098197331","https://openalex.org/W3100235104","https://openalex.org/W3102472001","https://openalex.org/W4234524531"],"related_works":["https://openalex.org/W2950573157","https://openalex.org/W4225795411","https://openalex.org/W2809744190","https://openalex.org/W2511013388","https://openalex.org/W4378695326","https://openalex.org/W2044192478","https://openalex.org/W29956273","https://openalex.org/W2356599848","https://openalex.org/W2064861618","https://openalex.org/W2089786029"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}