{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,16]],"date-time":"2026-01-16T07:19:26Z","timestamp":1768547966456,"version":"3.49.0"},"reference-count":13,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2003,4,1]],"date-time":"2003-04-01T00:00:00Z","timestamp":1049155200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2003,4,1]],"date-time":"2003-04-01T00:00:00Z","timestamp":1049155200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Statistics and Computing"],"published-print":{"date-parts":[[2003,4]]},"DOI":"10.1023\/a:1023200324137","type":"journal-article","created":{"date-parts":[[2003,6,6]],"date-time":"2003-06-06T13:39:54Z","timestamp":1054906794000},"page":"111-119","source":"Crossref","is-referenced-by-count":8,"title":["Estimating likelihoods for spatio-temporal models using importance sampling"],"prefix":"10.1007","volume":"13","author":[{"given":"Glenn","family":"Marion","sequence":"first","affiliation":[]},{"given":"Gavin","family":"Gibson","sequence":"additional","affiliation":[]},{"given":"Eric","family":"Renshaw","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"5119666_CR1","doi-asserted-by":"crossref","first-page":"883","DOI":"10.1080\/01621459.1996.10476956","volume":"91","author":"M.K. Cowles","year":"1996","unstructured":"Cowles M.K. and Carlin B.P. 1996. Markov chain Monte Carlo convergence diagnostics: A comparative review. Journal of the American Statistical Society 91: 883\u2013904.","journal-title":"Journal of the American Statistical Society"},{"key":"5119666_CR2","doi-asserted-by":"crossref","first-page":"2153","DOI":"10.1098\/rstb.1998.0354","volume":"353","author":"J.A.N. Filipe","year":"1998","unstructured":"Filipe J.A.N. and Gibson G.J. 1998. Studying and approximating spatiotemporal models for epidemic spread and control. Philiosophical Transactions Royal Society London B 353: 2153\u20132162.","journal-title":"Philiosophical Transactions Royal Society London B"},{"key":"5119666_CR3","doi-asserted-by":"crossref","first-page":"138","DOI":"10.1094\/PHYTO.1997.87.2.139","volume":"87","author":"G.J. Gibson","year":"1997","unstructured":"Gibson G.J. 1997a. Investigating mechanisms of spatio-temporal epidemic spread using stochastic models. Phytopathology 87: 138\u2013146.","journal-title":"Phytopathology"},{"key":"5119666_CR4","first-page":"215","volume":"46","author":"G.J. Gibson","year":"1997","unstructured":"Gibson G.J. 1997b. Markov Chain Monte Carlo methods for fitting and testing spatio-temporal stochastic models in plant epidemiology. Applied Statistics 46: 215\u2013233.","journal-title":"Applied Statistics"},{"key":"5119666_CR5","doi-asserted-by":"crossref","first-page":"172","DOI":"10.1046\/j.1365-3059.1996.d01-116.x","volume":"45","author":"G.J. Gibson","year":"1996","unstructured":"Gibson G.J. and Austin E.J. 1996. Fitting and testing spatio-temporal stochastic models with application in plant epidemiology. Plant Pathology 45: 172\u2013184.","journal-title":"Plant Pathology"},{"key":"5119666_CR6","doi-asserted-by":"crossref","first-page":"335","DOI":"10.1023\/A:1011973120681","volume":"11","author":"G.J. Gibson","year":"2001","unstructured":"Gibson G.J. and Renshaw E. 2001. Likelihood estimation for stochastic compartmental models using Markov chain methods. Statistics and Computing 11: 335\u2013346.","journal-title":"Statistics and Computing"},{"key":"5119666_CR7","doi-asserted-by":"crossref","first-page":"603","DOI":"10.1094\/PHYTO.1999.89.7.603","volume":"89","author":"T.R. Gottwald","year":"1999","unstructured":"Gottwald T.R., Gibson G.J., Garnsey S.M., and Irey M. 1999. Examination of the effect of aphid vector population composition on the spatial dynamics of citrus tristeza virus spread via stochastic modelling. Phytopathology 89: 603\u2013608.","journal-title":"Phytopathology"},{"key":"5119666_CR8","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1007\/BF02980797","volume":"12","author":"R. Marcus","year":"1982","unstructured":"Marcus R., Svetlana F., Talpaz H., Salomon R., and Bar-Joseph M. 1982. On the spatial distribution of citrus tristeza virus disease. Phytoparasitica 12: 45\u201352.","journal-title":"Phytoparasitica"},{"key":"5119666_CR9","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1111\/1467-985X.00125","volume":"162","author":"P.D. O'Neill","year":"1999","unstructured":"O'Neill P.D. and Roberts G.O. 1999. Bayesian inference for partially observed stochastic epidemics. Journal of the Royal Statistical Society A 162: 121\u2013129.","journal-title":"Journal of the Royal Statistical Society A"},{"key":"5119666_CR10","doi-asserted-by":"crossref","first-page":"223","DOI":"10.1002\/(SICI)1098-2418(199608\/09)9:1\/2<223::AID-RSA14>3.0.CO;2-O","volume":"9","author":"J.G. Propp","year":"1996","unstructured":"Propp J.G. and Wilson D.B. 1996. Exact sampling with coupled Markov chains and application to statistical mechanis. Random Structures Algorithms 9: 223\u2013252.","journal-title":"Random Structures Algorithms"},{"key":"5119666_CR11","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1098\/rspb.1995.0017","volume":"259","author":"D.A. Rand","year":"1995","unstructured":"Rand D.A. and Wilson H.B. 1995. Using spatio-temporal chaos and intermediate-scale determinism to quantify spatially-extended ecosystems. Proceedings Royal Society London B 259: 111\u2013117.","journal-title":"Proceedings Royal Society London B"},{"key":"5119666_CR12","doi-asserted-by":"crossref","DOI":"10.1002\/9780470316726","volume-title":"Stochastic Simulation","author":"B.D. Ripley","year":"1987","unstructured":"Ripley B.D. 1987. Stochastic Simulation. Wiley, New York."},{"key":"5119666_CR13","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4757-3071-5","volume-title":"Monte Carlo Statistical Methods","author":"C.P. Roberts","year":"1999","unstructured":"Roberts C.P. and Cassella G. 1999. Monte Carlo Statistical Methods. Springer, New York."}],"container-title":["Statistics and Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1023\/A:1023200324137.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1023\/A:1023200324137\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1023\/A:1023200324137.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,8]],"date-time":"2025-08-08T05:15:58Z","timestamp":1754630158000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1023\/A:1023200324137"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2003,4]]},"references-count":13,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2003,4]]}},"alternative-id":["5119666"],"URL":"https:\/\/doi.org\/10.1023\/a:1023200324137","relation":{},"ISSN":["0960-3174","1573-1375"],"issn-type":[{"value":"0960-3174","type":"print"},{"value":"1573-1375","type":"electronic"}],"subject":[],"published":{"date-parts":[[2003,4]]}}}