{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,22]],"date-time":"2026-01-22T02:44:43Z","timestamp":1769049883129,"version":"3.49.0"},"reference-count":17,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[1999,9,1]],"date-time":"1999-09-01T00:00:00Z","timestamp":936144000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Computational Statistics"],"published-print":{"date-parts":[[1999,9]]},"DOI":"10.1007\/s001800050022","type":"journal-article","created":{"date-parts":[[2002,8,25]],"date-time":"2002-08-25T07:30:30Z","timestamp":1030260630000},"page":"375-395","source":"Crossref","is-referenced-by-count":321,"title":["Adaptive proposal distribution for random walk Metropolis algorithm"],"prefix":"10.1007","volume":"14","author":[{"given":"Heikki","family":"Haario","sequence":"first","affiliation":[]},{"given":"Eero","family":"Saksman","sequence":"additional","affiliation":[]},{"given":"Johanna","family":"Tamminen","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[1999,9,10]]},"reference":[{"key":"90140375_CR1","first-page":"853","volume":"85","author":"A E Gelfand","year":"1990","unstructured":"Gelfand, A. E. & Smith, A. F. M. (1990), \u2018Sampling-based approaches to calculate marginal densities\u2019, J. Am. Stat. Ass. 85, 853\u2013409.","journal-title":"J. Am. Stat. Ass."},{"key":"90140375_CR2","doi-asserted-by":"crossref","first-page":"599","DOI":"10.1093\/oso\/9780198523567.003.0038","volume-title":"Bayesian Statistics V","author":"A G Gelman","year":"1996","unstructured":"Gelman, A. G., Roberts, G. O. & Gilks, W. R. (1996), Efficient Metropolis jumping rules, in J. M. Bernardo, J. O. Berger, A. F. David & A. F. M. Smith, eds, \u2018Bayesian Statistics V\u2019, Oxford University press, Oxford, pp. 599\u2013608."},{"key":"90140375_CR3","doi-asserted-by":"publisher","first-page":"455","DOI":"10.2307\/2986138","volume":"44","author":"W Gilks","year":"1995","unstructured":"Gilks, W., Best, N. & Tan, K. (1995), \u2018Adaptive rejection Metropolis sampling\u2019, Applied Statistics 44, 455\u2013472.","journal-title":"Applied Statistics"},{"key":"90140375_CR4","doi-asserted-by":"crossref","unstructured":"Gilks, W. R., Richardson, S. & Spiegelhalter, D. J. (1995), Introducing Markov chain Monte Carlo, in W. R. Gilks, S. Richardson & D. J. Spiegelhalter, eds, \u2018Markov Chain Monte Carlo in Practice\u2019, Chapman & Hall, pp. 1\u201319.","DOI":"10.1201\/b14835-6"},{"key":"90140375_CR5","first-page":"179","volume":"43","author":"W R Gilks","year":"1994","unstructured":"Gilks, W. R., Roberts, G. O. & George, E. I. (1994), \u2018Adaptive direction sampling\u2019, Statistical Science 43, 179\u2013189.","journal-title":"Statistical Science"},{"key":"90140375_CR6","unstructured":"Gilks, W. & Roberts, G. (1995), Stategies for improving MCMC, in W. R. Gilks, S. Richardson & D. J. Spiegelhalter, eds, \u2018Markov Chain Monte Carlo in Practice\u2019, Chapman & Hall, pp. 75\u201388."},{"key":"90140375_CR7","doi-asserted-by":"crossref","unstructured":"Gilks, W., Roberts, G. & Sahu, S. (1998), \u2018Adaptive Markov chain Monte Carlo through regeneration\u2019, J. Amer. Statist. Assoc. To appear.","DOI":"10.2307\/2669848"},{"key":"90140375_CR8","doi-asserted-by":"publisher","first-page":"337","DOI":"10.2307\/2347565","volume":"41","author":"W Gilks","year":"1992","unstructured":"Gilks, W. & Wild, P. (1992), \u2018Adaptive rejection sampling for Gibbs sampling\u2019, Applied Statistics 41, 337\u2013348.","journal-title":"Applied Statistics"},{"key":"90140375_CR9","doi-asserted-by":"crossref","unstructured":"Haario, H., Saksman, E. & Tamminen, J. (1998a), Adaptive proposal distribution for random walk Metropolis algorithm. Reports of the Department of Mathematics, University of Helsinki, Preprint 176.","DOI":"10.1007\/s001800050022"},{"key":"90140375_CR10","unstructured":"Haario, H., Saksman, E. & Tamminen, J. (1998b), An Adaptive Metropolis algorithm. Reports of the Department of Mathematics, University of Helsinki, Preprint 187."},{"key":"90140375_CR11","doi-asserted-by":"publisher","first-page":"97","DOI":"10.1093\/biomet\/57.1.97","volume":"57","author":"W Hastings","year":"1970","unstructured":"Hastings, W. (1970), \u2018Monte Carlo sampling methods using Markov chains and their applications\u2019, Biometrica 57, 97\u2013109.","journal-title":"Biometrica"},{"key":"90140375_CR12","doi-asserted-by":"publisher","first-page":"7367","DOI":"10.1029\/92JD02678","volume":"98","author":"E Kyr\u00f6l\u00e4","year":"1993","unstructured":"Kyr\u00f6l\u00e4, E., Sihvola, E., Kotivuori, Y., Tikka, M., Tuomi, T. & Haario, H. (1993), \u2018Inverse Theory for Occultation Measurements, 1. Spectral Inversion\u2019, J. Geophys. Res. 98, 7367\u20137381.","journal-title":"J. Geophys. Res."},{"key":"90140375_CR13","doi-asserted-by":"publisher","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. (1953), \u2018Equations of state calculations by fast computing machine\u2019, J. Chem. Phys. 21, 1087\u20131091.","journal-title":"J. Chem. Phys."},{"key":"90140375_CR14","volume-title":"Numerical Recipes in FORTRAN, The art of scientific computing","author":"W H Press","year":"1992","unstructured":"Press, W. H., Teukolsky, S. A., Vetterling, W. T. & Flannery, B. P. (1992), Numerical Recipes in FORTRAN, The art of scientific computing, Clasendon Press, Oxford."},{"key":"90140375_CR15","unstructured":"Roberts, G. O., Gelman, A. & Gilks, W. R. (1994), Weak convergence and optimal scaling of random walk metropolis algorithms. Preprint. URL: https:\/\/doi.org\/www.stats.bris.ac.uk\/MCMC\/"},{"key":"90140375_CR16","unstructured":"Sahu, S. K. & Zhigljavsky, A. A. (1998a), Self regenerative Markov chain Monte Carlo. Preprint. URL: https:\/\/doi.org\/www.stats.bris.ac.uk\/MCMC\/"},{"key":"90140375_CR17","unstructured":"Sahu, S. K. & Zhigljavsky, A. A. (1998b), Adaptation for self regenerative MCMC. Preprint. URL: https:\/\/doi.org\/www.stats.bris.ac.uk\/MCMC\/"}],"container-title":["Computational Statistics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s001800050022.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s001800050022\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s001800050022","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s001800050022.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,12,30]],"date-time":"2023-12-30T06:51:28Z","timestamp":1703919088000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s001800050022"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1999,9]]},"references-count":17,"journal-issue":{"issue":"3","published-print":{"date-parts":[[1999,9]]}},"alternative-id":["90140375"],"URL":"https:\/\/doi.org\/10.1007\/s001800050022","relation":{},"ISSN":["0943-4062","1613-9658"],"issn-type":[{"value":"0943-4062","type":"print"},{"value":"1613-9658","type":"electronic"}],"subject":[],"published":{"date-parts":[[1999,9]]}}}