{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,10]],"date-time":"2026-02-10T18:49:53Z","timestamp":1770749393716,"version":"3.50.0"},"reference-count":21,"publisher":"Informa UK Limited","issue":"3","funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["11871288"],"award-info":[{"award-number":["11871288"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["12131001"],"award-info":[{"award-number":["12131001"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Fundamental Research Funds for the Central Universities, LPMC, and KLMDASR"}],"content-domain":{"domain":["www.tandfonline.com"],"crossmark-restriction":true},"short-container-title":["Journal of Computational and Graphical Statistics"],"published-print":{"date-parts":[[2023,7,3]]},"DOI":"10.1080\/10618600.2023.2165499","type":"journal-article","created":{"date-parts":[[2023,1,11]],"date-time":"2023-01-11T02:52:15Z","timestamp":1673405535000},"page":"927-937","update-policy":"https:\/\/doi.org\/10.1080\/tandf_crossmark_01","source":"Crossref","is-referenced-by-count":5,"title":["Global Likelihood Sampler for Multimodal Distributions"],"prefix":"10.1080","volume":"32","author":[{"given":"Si-Yu","family":"Yi","sequence":"first","affiliation":[{"name":"School of Statistics and Data Science, Nankai University","place":["Tianjin, China"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ze","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Statistics and Data Science, Nankai University","place":["Tianjin, China"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1954-6241","authenticated-orcid":false,"given":"Min-Qian","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Statistics and Data Science, Nankai University","place":["Tianjin, China"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yong-Dao","family":"Zhou","sequence":"additional","affiliation":[{"name":"School of Statistics and Data Science, Nankai University","place":["Tianjin, China"]}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"301","published-online":{"date-parts":[[2023,2,14]]},"reference":[{"key":"e_1_3_3_2_1","article-title":"Locally Weighted Markov Chain Monte Carlo","author":"Bernton E.","year":"2015","unstructured":"Bernton, E., Yang, S., Chen, Y., Shephard, N., and Liu, J. S. (2015), \u201cLocally Weighted Markov Chain Monte Carlo,\u201d arXiv preprint arXiv:1506.08852.","journal-title":"arXiv preprint arXiv:1506.08852"},{"key":"e_1_3_3_3_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1408184111"},{"key":"e_1_3_3_4_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-13-2041-5"},{"key":"e_1_3_3_5_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF02415361"},{"key":"e_1_3_3_6_1","doi-asserted-by":"publisher","DOI":"10.1046\/j.1365-8711.2003.06094.x"},{"key":"e_1_3_3_7_1","first-page":"29","volume-title":"International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing","author":"L\u2019Ecuyer P.","year":"2016","unstructured":"L\u2019Ecuyer, P. (2016), \u201cRandomized Quasi-Monte Carlo: An Introduction for Practitioners,\u201d in International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing, Cham: Springer, pp. 29\u201352."},{"key":"e_1_3_3_8_1","volume-title":"Monte Carlo and Quasi-Monte Carlo Sampling","author":"Lemieux C.","year":"2009","unstructured":"Lemieux, C. (2009), Monte Carlo and Quasi-Monte Carlo Sampling, New York: Springer."},{"key":"e_1_3_3_9_1","doi-asserted-by":"publisher","DOI":"10.1198\/016214501753168325"},{"key":"e_1_3_3_10_1","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.2000.10473908"},{"key":"e_1_3_3_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.dsp.2021.103104"},{"key":"e_1_3_3_12_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.dsp.2018.01.004"},{"key":"e_1_3_3_13_1","doi-asserted-by":"publisher","DOI":"10.1080\/10618600.2013.778779"},{"key":"e_1_3_3_14_1","doi-asserted-by":"publisher","DOI":"10.1080\/03610918.2018.1547398"},{"key":"e_1_3_3_15_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.0409596102"},{"key":"e_1_3_3_16_1","doi-asserted-by":"publisher","DOI":"10.1214\/19-AOS1916"},{"key":"e_1_3_3_17_1","volume-title":"Monte Carlo Statistical Methods","author":"Robert C. P.","year":"2013","unstructured":"Robert, C. P., and Casella, G. (2013), Monte Carlo Statistical Methods, New York: Springer."},{"key":"e_1_3_3_18_1","article-title":"Quasi Markov Chain Monte Carlo Methods","author":"Schwedes T.","year":"2018","unstructured":"Schwedes, T., and Calderhead, B. (2018), \u201cQuasi Markov Chain Monte Carlo Methods,\u201d arXiv preprint arXiv:1807.00070.","journal-title":"arXiv preprint arXiv:1807.00070"},{"key":"e_1_3_3_19_1","doi-asserted-by":"publisher","DOI":"10.1111\/1467-9469.00360"},{"key":"e_1_3_3_20_1","doi-asserted-by":"publisher","DOI":"10.1111\/1467-9469.00232"},{"key":"e_1_3_3_21_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.matcom.2009.09.004"},{"key":"e_1_3_3_22_1","first-page":"255","volume-title":"Souvenir Booklet of the 24th International Workshop on Matrices and Statistics","author":"Wang Y. C.","year":"2015","unstructured":"Wang, Y. C., Ning, J. H., Zhou, Y. D., and Fang, K. T. (2015), \u201cA New Sampler: Randomized Likelihood Sampling,\u201d in Souvenir Booklet of the 24th International Workshop on Matrices and Statistics, pp. 255\u2013261."}],"container-title":["Journal of Computational and Graphical Statistics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.tandfonline.com\/doi\/pdf\/10.1080\/10618600.2023.2165499","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,13]],"date-time":"2025-10-13T20:14:34Z","timestamp":1760386474000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.tandfonline.com\/doi\/full\/10.1080\/10618600.2023.2165499"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,2,14]]},"references-count":21,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2023,7,3]]}},"alternative-id":["10.1080\/10618600.2023.2165499"],"URL":"https:\/\/doi.org\/10.1080\/10618600.2023.2165499","relation":{},"ISSN":["1061-8600","1537-2715"],"issn-type":[{"value":"1061-8600","type":"print"},{"value":"1537-2715","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,2,14]]},"assertion":[{"value":"The publishing and review policy for this title is described in its Aims & Scope.","order":1,"name":"peerreview_statement","label":"Peer Review Statement"},{"value":"http:\/\/www.tandfonline.com\/action\/journalInformation?show=aimsScope&journalCode=ucgs20","URL":"http:\/\/www.tandfonline.com\/action\/journalInformation?show=aimsScope&journalCode=ucgs20","order":2,"name":"aims_and_scope_url","label":"Aim & Scope"},{"value":"2022-06-22","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2022-12-02","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2023-02-14","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}