{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,8]],"date-time":"2026-03-08T03:48:05Z","timestamp":1772941685110,"version":"3.50.1"},"reference-count":14,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2008,4,25]],"date-time":"2008-04-25T00:00:00Z","timestamp":1209081600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Stat Comput"],"published-print":{"date-parts":[[2008,12]]},"DOI":"10.1007\/s11222-008-9059-x","type":"journal-article","created":{"date-parts":[[2008,4,24]],"date-time":"2008-04-24T15:25:00Z","timestamp":1209050700000},"page":"447-459","source":"Crossref","is-referenced-by-count":193,"title":["Adaptive importance sampling in general mixture classes"],"prefix":"10.1007","volume":"18","author":[{"given":"Olivier","family":"Capp\u00e9","sequence":"first","affiliation":[]},{"given":"Randal","family":"Douc","sequence":"additional","affiliation":[]},{"given":"Arnaud","family":"Guillin","sequence":"additional","affiliation":[]},{"given":"Jean-Michel","family":"Marin","sequence":"additional","affiliation":[]},{"given":"Christian P.","family":"Robert","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2008,4,25]]},"reference":[{"issue":"4","key":"9059_CR1","doi-asserted-by":"crossref","first-page":"907","DOI":"10.1198\/106186004X12803","volume":"13","author":"O. Capp\u00e9","year":"2004","unstructured":"Capp\u00e9, O., Guillin, A., Marin, J., Robert, C.: Population Monte Carlo. J.\u00a0Comput. Graph. Stat. 13(4), 907\u2013929 (2004)","journal-title":"J.\u00a0Comput. Graph. Stat."},{"key":"9059_CR2","doi-asserted-by":"crossref","DOI":"10.1007\/0-387-28982-8","volume-title":"Inference in Hidden Markov Models","author":"O. Capp\u00e9","year":"2005","unstructured":"Capp\u00e9, O., Moulines, E., Ryd\u00e9n, T.: Inference in Hidden Markov Models. Springer, New York (2005)"},{"issue":"2","key":"9059_CR3","doi-asserted-by":"crossref","first-page":"397","DOI":"10.1111\/j.2517-6161.1996.tb02089.x","volume":"58","author":"R. Chen","year":"1996","unstructured":"Chen, R., Liu, J.S.: Predictive updating method and Bayesian classification. J.\u00a0R. Stat. Soc. Ser.\u00a0B 58(2), 397\u2013415 (1996)","journal-title":"J.\u00a0R. Stat. Soc. Ser.\u00a0B"},{"issue":"1","key":"9059_CR4","doi-asserted-by":"crossref","first-page":"420","DOI":"10.1214\/009053606000001154","volume":"35","author":"R. Douc","year":"2007","unstructured":"Douc, R., Guillin, A., Marin, J.-M., Robert, C.: Convergence of adaptive mixtures of importance sampling schemes. Ann. Stat. 35(1), 420\u2013448 (2007a)","journal-title":"Ann. Stat."},{"key":"9059_CR5","doi-asserted-by":"crossref","first-page":"427","DOI":"10.1051\/ps:2007028","volume":"11","author":"R. Douc","year":"2007","unstructured":"Douc, R., Guillin, A., Marin, J.-M., Robert, C.: Minimum variance importance sampling via population Monte Carlo. ESAIM: Probab. Stat. 11, 427\u2013447 (2007b)","journal-title":"ESAIM: Probab. Stat."},{"key":"9059_CR6","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4757-3437-9","volume-title":"Sequential Monte Carlo Methods in Practice","author":"A. Doucet","year":"2001","unstructured":"Doucet, A., de Freitas, N., Gordon, N.: Sequential Monte Carlo Methods in Practice. Springer, New York (2001)"},{"key":"9059_CR7","doi-asserted-by":"crossref","first-page":"1317","DOI":"10.2307\/1913710","volume":"57","author":"J. Geweke","year":"1989","unstructured":"Geweke, J.: Bayesian inference in econometric models using Monte Carlo integration. Econometrica 57, 1317\u20131340 (1989)","journal-title":"Econometrica"},{"issue":"2","key":"9059_CR8","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1080\/00401706.1995.10484303","volume":"37","author":"T. Hesterberg","year":"1995","unstructured":"Hesterberg, T.: Weighted average importance sampling and defensive mixture distributions. Technometrics 37(2), 185\u2013194 (1995)","journal-title":"Technometrics"},{"key":"9059_CR9","doi-asserted-by":"crossref","first-page":"450","DOI":"10.1080\/01621459.1993.10476295","volume":"88","author":"M. Oh","year":"1993","unstructured":"Oh, M., Berger, J.: Integration of multimodal functions by Monte Carlo importance sampling. J.\u00a0Am. Stat. Assoc. 88, 450\u2013456 (1993)","journal-title":"J.\u00a0Am. Stat. Assoc."},{"key":"9059_CR10","doi-asserted-by":"crossref","first-page":"339","DOI":"10.1023\/A:1008981510081","volume":"10","author":"D. Peel","year":"2000","unstructured":"Peel, D., McLachlan, G.: Robust mixture modelling using the t distribution. Stat. Comput. 10, 339\u2013348 (2000)","journal-title":"Stat. Comput."},{"key":"9059_CR11","volume-title":"R: A Language and Environment for Statistical Computing","author":"R Development Core Team","year":"2006","unstructured":"R Development Core Team: R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna (2006)"},{"key":"9059_CR12","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4757-4145-2","volume-title":"Monte Carlo Statistical Methods","author":"C. Robert","year":"2004","unstructured":"Robert, C., Casella, G.: Monte Carlo Statistical Methods, 2nd\u00a0edn. Springer, New York (2004)","edition":"2"},{"key":"9059_CR13","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4757-4321-0","volume-title":"The Cross-Entropy Method","author":"R.Y. Rubinstein","year":"2004","unstructured":"Rubinstein, R.Y., Kroese, D.P.: The Cross-Entropy Method. Springer, New York (2004)"},{"key":"9059_CR14","first-page":"503","volume-title":"Bayesian Statistics","author":"M. West","year":"1992","unstructured":"West, M.: Modelling with mixtures. In: Berger, J., Bernardo, J., Dawid, A., Smith, A. (eds.) Bayesian Statistics, vol.\u00a04, pp.\u00a0503\u2013525. Oxford University Press, Oxford (1992)"}],"container-title":["Statistics and Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11222-008-9059-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11222-008-9059-x\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11222-008-9059-x","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,29]],"date-time":"2025-01-29T22:11:26Z","timestamp":1738188686000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11222-008-9059-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2008,4,25]]},"references-count":14,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2008,12]]}},"alternative-id":["9059"],"URL":"https:\/\/doi.org\/10.1007\/s11222-008-9059-x","relation":{},"ISSN":["0960-3174","1573-1375"],"issn-type":[{"value":"0960-3174","type":"print"},{"value":"1573-1375","type":"electronic"}],"subject":[],"published":{"date-parts":[[2008,4,25]]}}}