{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T21:06:55Z","timestamp":1777496815794,"version":"3.51.4"},"reference-count":21,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2017,10,11]],"date-time":"2017-10-11T00:00:00Z","timestamp":1507680000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Stat Comput"],"published-print":{"date-parts":[[2018,9]]},"DOI":"10.1007\/s11222-017-9780-4","type":"journal-article","created":{"date-parts":[[2017,10,11]],"date-time":"2017-10-11T12:22:46Z","timestamp":1507724566000},"page":"1073-1081","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["On parallelizable Markov chain Monte Carlo algorithms with waste-recycling"],"prefix":"10.1007","volume":"28","author":[{"given":"Shihao","family":"Yang","sequence":"first","affiliation":[]},{"given":"Yang","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Espen","family":"Bernton","sequence":"additional","affiliation":[]},{"given":"Jun S.","family":"Liu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,10,11]]},"reference":[{"issue":"3","key":"9780_CR1","doi-asserted-by":"crossref","first-page":"817","DOI":"10.2307\/2938229","volume":"59","author":"DWK Andrews","year":"1991","unstructured":"Andrews, D.W.K.: Heteroskedasticity and autocorrelation consistent covariance matrix estimation. Econometrica 59(3), 817\u2013858 (1991)","journal-title":"Econometrica"},{"issue":"49","key":"9780_CR2","doi-asserted-by":"crossref","first-page":"17408","DOI":"10.1073\/pnas.1408184111","volume":"111","author":"B Calderhead","year":"2014","unstructured":"Calderhead, B.: A general construction for parallelizing Metropolis-Hastings algorithms. Proc. Natl. Acad. Sci. 111(49), 17408\u201317413 (2014)","journal-title":"Proc. Natl. Acad. Sci."},{"key":"9780_CR3","unstructured":"Chen, L.Y., Qin, Z., Liu, J.S.: Exploring hybrid Monte Carlo in Bayesian computation. Bayesian methods: with applications to science, policy and official statistics. In: Selected Papers from ISBA 2000, pp. 71\u201380 (2001)"},{"issue":"4","key":"9780_CR4","doi-asserted-by":"crossref","first-page":"938","DOI":"10.1239\/jap\/1261670681","volume":"46","author":"JF Delmas","year":"2009","unstructured":"Delmas, J.F., Jourdain, B.: Does waste recycling really improve the multi-proposal Metropolis\u2013Hastings algorithm? An analysis based on control variates. J. Appl. Probab. 46(4), 938\u2013959 (2009)","journal-title":"J. Appl. Probab."},{"issue":"1","key":"9780_CR5","doi-asserted-by":"crossref","first-page":"261","DOI":"10.1214\/10-AOS838","volume":"39","author":"R Douc","year":"2011","unstructured":"Douc, R., Robert, C.P.: A vanilla Rao\u2013Blackwellization of Metropolis\u2013Hastings algorithms. Ann. Stat. 39(1), 261\u2013277 (2011)","journal-title":"Ann. Stat."},{"issue":"2","key":"9780_CR6","doi-asserted-by":"crossref","first-page":"216","DOI":"10.1016\/0370-2693(87)91197-X","volume":"195","author":"S Duane","year":"1987","unstructured":"Duane, S., Kennedy, A.D., Pendleton, B.J., Roweth, D.: Hybrid Monte Carlo. Phys. Lett. B 195(2), 216\u2013222 (1987)","journal-title":"Phys. Lett. B"},{"issue":"51","key":"9780_CR7","doi-asserted-by":"crossref","first-page":"17571","DOI":"10.1073\/pnas.0407950101","volume":"101","author":"D Frenkel","year":"2004","unstructured":"Frenkel, D.: Speed-up of Monte Carlo simulations by sampling of rejected states. Proc. Natl. Acad. Sci. 101(51), 17571\u201317575 (2004)","journal-title":"Proc. Natl. Acad. Sci."},{"key":"9780_CR8","doi-asserted-by":"publisher","unstructured":"Frenkel, D.: Waste-recycling Monte Carlo. In: Ferrario, M., Ciccotti, G., Binder, K. (eds.) Computer Simulations in Condensed Matter Systems: From Materials to Chemical Biology, vol. 1. Lecture Notes in Physics, vol. 703, pp. 127\u2013137. Springer, Berlin. doi: 10.1007\/3-540-35273-2_4 (2006)","DOI":"10.1007\/3-540-35273-2_4"},{"issue":"2","key":"9780_CR9","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1080\/00031305.1991.10475784","volume":"45","author":"A Gelman","year":"1991","unstructured":"Gelman, A., Meng, X.: A note on bivariate distributions that are conditionally normal. Am. Stat. 45(2), 125\u2013126 (1991)","journal-title":"Am. Stat."},{"key":"9780_CR10","doi-asserted-by":"crossref","DOI":"10.1201\/b16018","volume-title":"Bayesian Data Analysis","author":"A Gelman","year":"2013","unstructured":"Gelman, A., Carlin, J., Stern, H., Dunson, D., Vehtari, A., Rubin, D.: Bayesian Data Analysis, 3rd edn. Chapman and Hall, Boca Raton (2013)","edition":"3"},{"issue":"1","key":"9780_CR11","doi-asserted-by":"crossref","first-page":"97","DOI":"10.1093\/biomet\/57.1.97","volume":"57","author":"W Hastings","year":"1970","unstructured":"Hastings, W.: Monte Carlo sampling methods using Markov chains and their applications. Biometrika 57(1), 97\u2013109 (1970)","journal-title":"Biometrika"},{"issue":"2","key":"9780_CR12","doi-asserted-by":"crossref","first-page":"93","DOI":"10.1080\/00031305.1998.10480547","volume":"52","author":"RE Kass","year":"1998","unstructured":"Kass, R.E., Carlin, B.P., Gelman, A., Neal, R.M.: Markov chain Monte Carlo in practice: a roundtable discussion. Am. Stat. 52(2), 93\u2013100 (1998)","journal-title":"Am. Stat."},{"key":"9780_CR13","volume-title":"Monte Carlo Strategies in Scientific Computing","author":"JS Liu","year":"2001","unstructured":"Liu, J.S.: Monte Carlo Strategies in Scientific Computing. Springer, Berlin (2001)"},{"issue":"449","key":"9780_CR14","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1080\/01621459.2000.10473908","volume":"95","author":"JS Liu","year":"2000","unstructured":"Liu, J.S., Liang, F., Wong, W.H.: The multiple-try method and local optimization in Metropolis sampling. J. Am. Stat. Assoc. 95(449), 121\u2013134 (2000)","journal-title":"J. Am. Stat. Assoc."},{"issue":"6","key":"9780_CR15","doi-asserted-by":"crossref","first-page":"1087","DOI":"10.1063\/1.1699114","volume":"21","author":"N Metropolis","year":"1953","unstructured":"Metropolis, N., Rosenbluth, A.W., Rosenbluth, M.N., Teller, A.H., Teller, E.: Equation of state calculations by fast computing machines. J. Chem. Phys. 21(6), 1087\u20131092 (1953)","journal-title":"J. Chem. Phys."},{"key":"9780_CR16","doi-asserted-by":"crossref","first-page":"311","DOI":"10.1080\/07350015.2014.931238","volume":"32","author":"UK M\u00fcller","year":"2014","unstructured":"M\u00fcller, U.K.: HAC corrections for strongly autocorrelated time series. J. Bus. Econ. Stat. 32, 311\u2013322 (2014)","journal-title":"J. Bus. Econ. Stat."},{"key":"9780_CR17","doi-asserted-by":"crossref","first-page":"194","DOI":"10.1006\/jcph.1994.1054","volume":"111","author":"RM Neal","year":"1994","unstructured":"Neal, R.M.: An improved acceptance procedure for the hybrid Monte Carlo algorithm. J. Comput. Phys. 111, 194\u2013203 (1994)","journal-title":"J. Comput. Phys."},{"key":"9780_CR18","doi-asserted-by":"crossref","first-page":"827","DOI":"10.1006\/jcph.2001.6860","volume":"172","author":"ZS Qin","year":"2001","unstructured":"Qin, Z.S., Liu, J.S.: Multipoint metropolis method with application to hybrid Monte Carlo. J. Comput. Phys. 172, 827\u2013840 (2001)","journal-title":"J. Comput. Phys."},{"issue":"419","key":"9780_CR19","doi-asserted-by":"crossref","first-page":"861","DOI":"10.1080\/01621459.1992.10475289","volume":"87","author":"C Ritter","year":"1992","unstructured":"Ritter, C., Tanner, M.A.: Facilitating the Gibbs sampler: the gibbs stopper and the Griddy\u2013Gibbs sampler. J. Am. Stat. Assoc. 87(419), 861\u2013868 (1992)","journal-title":"J. Am. Stat. Assoc."},{"issue":"4","key":"9780_CR20","doi-asserted-by":"crossref","first-page":"341","DOI":"10.2307\/3318418","volume":"2","author":"GO Roberts","year":"1996","unstructured":"Roberts, G.O., Tweedie, R.L.: Exponential convergence of Langevin distributions and their discrete approximations. Bernoulli 2(4), 341\u2013363 (1996)","journal-title":"Bernoulli"},{"key":"9780_CR21","unstructured":"Tjelmeland, H.: Using all Metropolis\u2013Hastings proposals to estimate mean values. Technical Reports, Norwegian University of Science and Technology. Trondheim, Norway (2004)"}],"container-title":["Statistics and Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11222-017-9780-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11222-017-9780-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11222-017-9780-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,27]],"date-time":"2024-06-27T17:35:22Z","timestamp":1719509722000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11222-017-9780-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,10,11]]},"references-count":21,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2018,9]]}},"alternative-id":["9780"],"URL":"https:\/\/doi.org\/10.1007\/s11222-017-9780-4","relation":{},"ISSN":["0960-3174","1573-1375"],"issn-type":[{"value":"0960-3174","type":"print"},{"value":"1573-1375","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,10,11]]}}}