{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,9]],"date-time":"2025-12-09T15:32:07Z","timestamp":1765294327781,"version":"3.35.0"},"reference-count":27,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2008,8,7]],"date-time":"2008-08-07T00:00:00Z","timestamp":1218067200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Environ Ecol Stat"],"published-print":{"date-parts":[[2010,3]]},"DOI":"10.1007\/s10651-008-0099-3","type":"journal-article","created":{"date-parts":[[2008,8,6]],"date-time":"2008-08-06T19:45:31Z","timestamp":1218051931000},"page":"1-28","source":"Crossref","is-referenced-by-count":22,"title":["Spatial extremes of wildfire sizes: Bayesian hierarchical models for extremes"],"prefix":"10.1007","volume":"17","author":[{"given":"Jorge M.","family":"Mendes","sequence":"first","affiliation":[]},{"given":"Patr\u00edcia Cort\u00e9s","family":"de Zea Bermudez","sequence":"additional","affiliation":[]},{"given":"Jos\u00e9","family":"Pereira","sequence":"additional","affiliation":[]},{"given":"K. F.","family":"Turkman","sequence":"additional","affiliation":[]},{"given":"M. J. P.","family":"Vasconcelos","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2008,8,7]]},"reference":[{"key":"99_CR1","doi-asserted-by":"crossref","unstructured":"Banarjee S, Carlin BP, Gelfand A (2004) Hierarchical modelling and analysis for spatial data. Chapman and Hall","DOI":"10.1201\/9780203487808"},{"key":"99_CR2","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1214\/ss\/1177010123","volume":"10","author":"J Besag","year":"1995","unstructured":"Besag J, Green P, Higdon D, Mengeresen K (1995) Bayesian computation and stochastic systems (with discussion). Stat Sci 10: 3\u201366","journal-title":"Stat Sci"},{"key":"99_CR3","volume-title":"Classification and regression trees","author":"L Breiman","year":"1984","unstructured":"Breiman L, Friedman JH, Olsen RA, Stone CJ (1984) Classification and regression trees. Wadsworth, Pacific Grove, California"},{"key":"99_CR4","doi-asserted-by":"crossref","first-page":"449","DOI":"10.1023\/A:1009931222386","volume":"1","author":"E Casson","year":"1999","unstructured":"Casson E, Coles S (1999) Spatial regression models for extremes. Extremes 1: 449\u2013468","journal-title":"Extremes"},{"issue":"2","key":"99_CR5","doi-asserted-by":"crossref","first-page":"329","DOI":"10.1111\/j.2517-6161.1996.tb02085.x","volume":"58","author":"S Coles","year":"1996","unstructured":"Coles S, Tawn J (1996) Modelling extremes of the areal rainfall process. J Roy Stat Soc B 58(2): 329\u2013347","journal-title":"J Roy Stat Soc B"},{"issue":"479","key":"99_CR6","doi-asserted-by":"crossref","first-page":"824","DOI":"10.1198\/016214506000000780","volume":"102","author":"D Cooley","year":"2007","unstructured":"Cooley D, Nychka D, Naveau P (2007) Bayesian spatial modeling of extreme precipitation return levels. J Am Stat Assoc 102(479): 824\u2013840","journal-title":"J Am Stat Assoc"},{"key":"99_CR7","volume-title":"Extreme value theory for space-time processes with heavy tailed distributions, Preprint towards a geostatistics of extremes unpublished report, presented at the workshop on statistical extremes and environmental risk","author":"RA Davis","year":"2006","unstructured":"Davis RA, Mikosch T (2006) Extreme value theory for space-time processes with heavy tailed distributions, Preprint towards a geostatistics of extremes unpublished report, presented at the workshop on statistical extremes and environmental risk. Lisbon, Portugal"},{"key":"99_CR8","doi-asserted-by":"crossref","first-page":"467","DOI":"10.1214\/aop\/1008956340","volume":"29","author":"L Haan de","year":"2001","unstructured":"de Haan L, Lin T (2001) On convergence toward an extreme value distribution in C[0,1]. Ann Probab 29: 467\u2013483","journal-title":"Ann Probab"},{"key":"99_CR9","doi-asserted-by":"crossref","first-page":"146","DOI":"10.1214\/009053605000000886","volume":"34","author":"L Haan de","year":"2006","unstructured":"de Haan L, Pereira T (2006) Spatial extremes: models for the stationary case. Ann Stat 34: 146\u2013168","journal-title":"Ann Stat"},{"key":"99_CR10","unstructured":"de Zea Bermudez P, Kotz S (2006) Parameter estimation of the generalized pareto distribution. Technical report No.6, CEAUL, University of Lisbon"},{"key":"99_CR11","unstructured":"de Zea Bermudez P, Mendes JM, Pereira J, Turkman KF (2007) Spatial extremes of wildfire sizes I. Research Report, No.2, CEAUL, University of Lisbon"},{"key":"99_CR12","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-642-33483-2","volume-title":"Modelling extremal events for insurance and finance","author":"P Embrechts","year":"1997","unstructured":"Embrechts P, Kl\u00fcppelberg C, Mikosch T (1997) Modelling extremal events for insurance and finance. Springer, Netherlands"},{"key":"99_CR13","first-page":"1","volume-title":"Bayesian statistics 4","author":"J Geweke","year":"1992","unstructured":"Geweke J (1992) Evaluating the accuracy of sampling-based approaches to calculating posterior moments. In: Bernardo JM, Berger JO, David AP, Smith AFM (eds) Bayesian statistics 4. Oxford University Press, Oxford, pp 1\u20131"},{"volume-title":"Markov chain Monte Carlo in practice. Interdisciplinary statistics","year":"1996","key":"99_CR14","unstructured":"GilksWR, Richardson S, Spiegelhalter DJ (eds) (1996) Markov chain Monte Carlo in practice. Interdisciplinary statistics. Chapman & Hall, London"},{"key":"99_CR15","doi-asserted-by":"crossref","first-page":"243","DOI":"10.1111\/j.1467-9868.2007.00587.x","volume":"69","author":"T Gneiting","year":"2007","unstructured":"Gneiting T, Balabdaoui F, Raftery AE (2007) Probabilistic forecasts, calibration and sharpness. J Roy Stat Soc B 69: 243\u2013268","journal-title":"J Roy Stat Soc B"},{"key":"99_CR16","doi-asserted-by":"crossref","first-page":"1109","DOI":"10.1287\/opre.31.6.1109","volume":"31","author":"P Heidelberger","year":"1983","unstructured":"Heidelberger P, Welch P (1983) Simulation run length control in the presence of an initial transient. Oper Res 31: 1109\u20131144","journal-title":"Oper Res"},{"issue":"2","key":"99_CR17","doi-asserted-by":"crossref","first-page":"521","DOI":"10.1111\/1467-9868.00400","volume":"65","author":"AW Ledford","year":"2003","unstructured":"Ledford AW, Tawn J (2003) Diagnostics for dependence within time series extremes. J Roy Stat Soc B 65(2): 521\u2013543","journal-title":"J Roy Stat Soc B"},{"key":"99_CR18","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1002\/env.800","volume":"18","author":"JM Mendes","year":"2007","unstructured":"Mendes JM, Turkman KF, Jardim E (2007) A Bayesian hierarchical model for over-dispersed count data: a case study for abundance og hake recruits. Environmetrics 18: 27\u201353","journal-title":"Environmetrics"},{"key":"99_CR19","volume-title":"Estatistica Bayesiana","author":"CD Paulino","year":"2003","unstructured":"Paulino CD, Turkman MAA, Murteira B (2003) Estatistica Bayesiana. Funda\u00e7\u00e3o Calouste Gulbenkian, Lisbon"},{"key":"99_CR20","doi-asserted-by":"crossref","first-page":"119","DOI":"10.1214\/aos\/1176343003","volume":"3","author":"J Pickands","year":"1975","unstructured":"Pickands J (1975) Statistical Inference using extreme order statistics. Ann Stat 3: 119\u2013131","journal-title":"Ann Stat"},{"key":"99_CR21","volume-title":"Bayesian statistics 4","author":"AL Raftery","year":"1992","unstructured":"Raftery AL, Lewis S (1992) How many iterations in the Gibbs sampler?. In: Bernardo JM, Berger JO, Dawid AP, Smith AFM (eds) Bayesian statistics 4. Oxford University Press, Oxford"},{"key":"99_CR22","doi-asserted-by":"crossref","first-page":"106","DOI":"10.1016\/S0022-1694(01)00522-4","volume":"256","author":"NI Ramesh","year":"2002","unstructured":"Ramesh NI, Davison A (2002) Local models for exploratory analysis of hydrological extremes. J Hydrol 256: 106\u2013119","journal-title":"J Hydrol"},{"key":"99_CR23","unstructured":"Sang H, Gelfand AE (2007) Hierarchical modeling for xtreme values observed over space and time. Research Report, Duke University"},{"key":"99_CR24","doi-asserted-by":"crossref","first-page":"367","DOI":"10.1214\/ss\/1177012400","volume":"4","author":"R Smith","year":"1989","unstructured":"Smith R (1989) Extreme value analysis of environmental time series: an application to trend detection in ground-level ozone. Stat Sci 4: 367\u2013393","journal-title":"Stat Sci"},{"key":"99_CR25","doi-asserted-by":"crossref","first-page":"583","DOI":"10.1111\/1467-9868.00353","volume":"64","author":"DJ Spiegelhalter","year":"2002","unstructured":"Spiegelhalter DJ, Best NG, Carlin BP, Van der Linde (2002) Bayesian measures of model complexity and fit. J Roy Stat Soc B 64: 583\u2013640","journal-title":"J Roy Stat Soc B"},{"key":"99_CR26","doi-asserted-by":"crossref","first-page":"114","DOI":"10.1239\/jap\/1143936247","volume":"43","author":"KF Turkman","year":"2006","unstructured":"Turkman KF (2006) A note on the extremal index for space-time processes. J Appl Probab 43: 114\u2013126","journal-title":"J Appl Probab"},{"key":"99_CR27","doi-asserted-by":"crossref","first-page":"1343","DOI":"10.1198\/016214505000000420","volume":"472","author":"SL Tzeng","year":"2005","unstructured":"Tzeng SL, Huang HC, Cressie N (2005) A fast optimal spatial prediction method for massive data sets. J Am Stat Assoc 472: 1343\u20131357","journal-title":"J Am Stat Assoc"}],"container-title":["Environmental and Ecological Statistics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10651-008-0099-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10651-008-0099-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10651-008-0099-3","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,31]],"date-time":"2025-01-31T10:32:36Z","timestamp":1738319556000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10651-008-0099-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2008,8,7]]},"references-count":27,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2010,3]]}},"alternative-id":["99"],"URL":"https:\/\/doi.org\/10.1007\/s10651-008-0099-3","relation":{},"ISSN":["1352-8505","1573-3009"],"issn-type":[{"type":"print","value":"1352-8505"},{"type":"electronic","value":"1573-3009"}],"subject":[],"published":{"date-parts":[[2008,8,7]]}}}