{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,11]],"date-time":"2026-04-11T03:10:35Z","timestamp":1775877035617,"version":"3.50.1"},"reference-count":12,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2020,11,7]],"date-time":"2020-11-07T00:00:00Z","timestamp":1604707200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,11,7]],"date-time":"2020-11-07T00:00:00Z","timestamp":1604707200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Syst Sci Complex"],"published-print":{"date-parts":[[2021,6]]},"DOI":"10.1007\/s11424-020-9335-1","type":"journal-article","created":{"date-parts":[[2020,11,7]],"date-time":"2020-11-07T07:02:27Z","timestamp":1604732547000},"page":"1121-1134","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Most Likely Optimal Subsampled Markov Chain Monte Carlo"],"prefix":"10.1007","volume":"34","author":[{"given":"Guanyu","family":"Hu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haiying","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,11,7]]},"reference":[{"issue":"2","key":"9335_CR1","doi-asserted-by":"publisher","first-page":"78","DOI":"10.1080\/17509653.2016.1142191","volume":"11","author":"S L Scott","year":"2016","unstructured":"Scott S L, Blocker A W, Bonassi F V, et al., Bayes and big data: The consensus monte carlo algorithm, International Journal of Management Science and Engineering Management, 2016, 11(2): 78\u201388.","journal-title":"International Journal of Management Science and Engineering Management"},{"key":"9335_CR2","unstructured":"Wang X and Dunson D B, Parallelizing mcmc via weierstrass sampler, arXiv preprint, arXiv: 1312.4605, 2013."},{"key":"9335_CR3","unstructured":"Bardenet R, Doucet A, and Holmes C, Towards scaling up markov chain Monte Carlo: An adaptive subsampling approach, International Conference on Machine Learning, 2014, 405\u2013413."},{"key":"9335_CR4","unstructured":"Korattikara A, Chen Y, and Welling M, Austerity in mcmc land: Cutting the metropolis-hastings budget, International Conference on Machine Learning, 2014, 181\u2013189."},{"key":"9335_CR5","volume-title":"Bayesian Data Analysis","author":"A Gelman","year":"2014","unstructured":"Gelman A, Carlin J B, Stern H S, et al., Bayesian Data Analysis, Taylor & Francis, Abingdon, UK, 2014, 2."},{"key":"9335_CR6","unstructured":"Robert C P, Monte Carlo Methods, Wiley Online Library, 2004."},{"key":"9335_CR7","first-page":"1","volume":"47","author":"M Quiroz","year":"2018","unstructured":"Quiroz M, Kohn R, Villani M, et al., Speeding up mcmc by efficient data subsampling, Journal of the American Statistical Association, 2018, 47: 1\u201335.","journal-title":"Journal of the American Statistical Association"},{"key":"9335_CR8","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511802256","volume-title":"Asymptotic Statistics","author":"A van der Vaart","year":"1998","unstructured":"van der Vaart A, Asymptotic Statistics, Cambridge University Press, London, 1998."},{"issue":"3","key":"9335_CR9","doi-asserted-by":"publisher","first-page":"375","DOI":"10.1007\/s001800050022","volume":"14","author":"H Haario","year":"1999","unstructured":"Haario H, Saksman E, and Tamminen J, Adaptive proposal distribution for random walk metropolis algorithm, Computational Statistics, 1999, 14(3): 375\u2013396.","journal-title":"Computational Statistics"},{"issue":"5","key":"9335_CR10","doi-asserted-by":"publisher","first-page":"1105","DOI":"10.1162\/089976602753633402","volume":"14","author":"R Collobert","year":"2014","unstructured":"Collobert R, Bengio S, and Bengio Y, A parallel mixture of SVMs for very large scale problems, Neural Computation, 2014, 14(5): 1105\u20131114.","journal-title":"Neural Computation"},{"issue":"1","key":"9335_CR11","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1080\/10618600.1999.10474802","volume":"8","author":"M H Chen","year":"1999","unstructured":"Chen M H and Shao Q M, Monte Carlo estimation of bayesian credible and hpd intervals, Journal of Computational and Graphical Statistics, 1999, 8(1): 69\u201392.","journal-title":"Journal of Computational and Graphical Statistics"},{"key":"9335_CR12","doi-asserted-by":"crossref","unstructured":"Geng L, Xue Y, and Hu G, Subsampled information criteria for bayesian model selection in the big data setting, 2019 IEEE International Conference on Big Data (Big Data), 2019, 194\u2013199.","DOI":"10.1109\/BigData47090.2019.9006275"}],"container-title":["Journal of Systems Science and Complexity"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11424-020-9335-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11424-020-9335-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11424-020-9335-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,17]],"date-time":"2024-08-17T02:19:53Z","timestamp":1723861193000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11424-020-9335-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,11,7]]},"references-count":12,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2021,6]]}},"alternative-id":["9335"],"URL":"https:\/\/doi.org\/10.1007\/s11424-020-9335-1","relation":{},"ISSN":["1009-6124","1559-7067"],"issn-type":[{"value":"1009-6124","type":"print"},{"value":"1559-7067","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,11,7]]},"assertion":[{"value":"5 December 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 February 2020","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 November 2020","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}