{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,12,6]],"date-time":"2024-12-06T17:40:22Z","timestamp":1733506822974,"version":"3.30.1"},"reference-count":28,"publisher":"Elsevier BV","issue":"3","license":[{"start":{"date-parts":[[1999,11,1]],"date-time":"1999-11-01T00:00:00Z","timestamp":941414400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Signal Processing"],"published-print":{"date-parts":[[1999,11]]},"DOI":"10.1016\/s0165-1684(99)00074-2","type":"journal-article","created":{"date-parts":[[2002,7,26]],"date-time":"2002-07-26T02:44:26Z","timestamp":1027651466000},"page":"349-362","source":"Crossref","is-referenced-by-count":0,"title":["Gibbs sampling for parameters estimation and change-points detection in inverse problems. Application to electromagnetic imaging"],"prefix":"10.1016","volume":"78","author":[{"given":"M.","family":"Lavielle","sequence":"first","affiliation":[]},{"given":"D.","family":"Marquez","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/S0165-1684(99)00074-2_BIB1","doi-asserted-by":"crossref","unstructured":"J. Cardoso, E. Moulines, How much more DOA information in higher-order statistics?, in Proceedings of the International Conference on Acoust. Speech Sig. Process., 1994, pp. 199\u2013202.","DOI":"10.1109\/SSAP.1994.572478"},{"key":"10.1016\/S0165-1684(99)00074-2_BIB2","first-page":"73","article-title":"The SEM algorithm: a probabilistic teacher algorithm derived from the EM algorithm for the mixture problem","volume":"2","author":"Celeux","year":"1985","journal-title":"Comput. Statist. Quater."},{"key":"10.1016\/S0165-1684(99)00074-2_BIB3","doi-asserted-by":"crossref","first-page":"119","DOI":"10.1080\/17442509208833797","article-title":"A classification type EM algorithm for the mixture problem","volume":"41","author":"Celeux","year":"1992","journal-title":"Stochast. Stochast. Rep."},{"key":"10.1016\/S0165-1684(99)00074-2_BIB4","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1080\/17442509208833769","article-title":"Stochastic optimization with averaging of trajectories","volume":"39","author":"Delyon","year":"1992","journal-title":"Stochast. Stochast. Rep."},{"key":"10.1016\/S0165-1684(99)00074-2_BIB5","doi-asserted-by":"crossref","first-page":"868","DOI":"10.1137\/0803045","article-title":"Accelerated stochastic approximation","volume":"3","author":"Delyon","year":"1993","journal-title":"SIAM J. Optim."},{"key":"10.1016\/S0165-1684(99)00074-2_BIB6","doi-asserted-by":"crossref","unstructured":"B. Delyon, M. Lavielle, E. Moulines, Convergence of a stochastic approximation version of the EM algorithm, The Ann. Statist. 27 (1999).","DOI":"10.1214\/aos\/1018031103"},{"key":"10.1016\/S0165-1684(99)00074-2_BIB7","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1111\/j.2517-6161.1977.tb01600.x","article-title":"Maximum likelihood from incomplete data via the EM algorithm","volume":"39","author":"Dempster","year":"1977","journal-title":"J. R. Statist. Soc."},{"key":"10.1016\/S0165-1684(99)00074-2_BIB8","doi-asserted-by":"crossref","first-page":"599","DOI":"10.1080\/15326349308807283","article-title":"Asymptotic properties of a stochastic EM algorithm for estimating mixing proportions","volume":"9","author":"Diebolt","year":"1993","journal-title":"Commun. Statist. B: Stochast. Mod."},{"key":"10.1016\/S0165-1684(99)00074-2_BIB9","doi-asserted-by":"crossref","unstructured":"G. Fishman, Monte Carlo Concepts, Algorithms and Applications, Springer, Berlin, 1996.","DOI":"10.1007\/978-1-4757-2553-7"},{"key":"10.1016\/S0165-1684(99)00074-2_BIB10","doi-asserted-by":"crossref","first-page":"398","DOI":"10.2307\/2289776","article-title":"Sampling based approaches to calculating marginal densities","volume":"85","author":"Gelfand","year":"1990","journal-title":"J. Amer. Statist. Assoc."},{"key":"10.1016\/S0165-1684(99)00074-2_BIB11","doi-asserted-by":"crossref","first-page":"721","DOI":"10.1109\/TPAMI.1984.4767596","article-title":"Stochastic relaxation, Gibbs distribution and the bayesian restoration images","volume":"6","author":"Geman","year":"1984","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/S0165-1684(99)00074-2_BIB12","doi-asserted-by":"crossref","unstructured":"W. Gilks, S. Richardson, D. Spiegelhalter, Markov Chain Monte-Carlo in Practice, Chapman & Hall, London, 1996.","DOI":"10.1201\/b14835"},{"key":"10.1016\/S0165-1684(99)00074-2_BIB13","unstructured":"H. Grandis, Imagerie Electromagn\u00e9tique Bay\u00e9sienne par la simulation d'une chaine de Markov, Ph.D. Thesis, Universit\u00e9 Paris VII, 1994."},{"key":"10.1016\/S0165-1684(99)00074-2_BIB14","doi-asserted-by":"crossref","unstructured":"H. Grandis, M. Minvielle, M. Roussignol, Bayesian inversion with Markov chains: the magnetotelluric 1-D case, Geophys. J. Int. 1999, to appear.","DOI":"10.1046\/j.1365-246x.1999.00904.x"},{"key":"10.1016\/S0165-1684(99)00074-2_BIB15","doi-asserted-by":"crossref","first-page":"1433","DOI":"10.1214\/aos\/1032298276","article-title":"Outperforming the Gibbs sampler empirical estimator for nearest-neighbor random fields","volume":"24","author":"Greenwood","year":"1996","journal-title":"Ann. Statist."},{"key":"10.1016\/S0165-1684(99)00074-2_BIB16","unstructured":"V. Jouanne, Application des techniques statistiques bay\u00e9siennes \u00e0 l'inversion de donn\u00e9es electromagn\u00e9tiques, Ph.D. Thesis, Universit\u00e9 Paris VII, 1991."},{"key":"10.1016\/S0165-1684(99)00074-2_BIB17","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1214\/aoms\/1177706705","article-title":"Accelerated stochastic approximation","volume":"29","author":"Kesten","year":"1958","journal-title":"Ann. Math. Statist."},{"key":"10.1016\/S0165-1684(99)00074-2_BIB18","doi-asserted-by":"crossref","first-page":"287","DOI":"10.1016\/0165-1684(94)90110-4","article-title":"Detecting lines in gray level images using search techniques","volume":"37","author":"Koundinya","year":"1994","journal-title":"Signal Process."},{"key":"10.1016\/S0165-1684(99)00074-2_BIB19","doi-asserted-by":"crossref","first-page":"1365","DOI":"10.1109\/78.668798","article-title":"Optimal segmentation of random processes","volume":"46","author":"Lavielle","year":"1998","journal-title":"IEEE Trans. Signal Process."},{"key":"10.1016\/S0165-1684(99)00074-2_BIB20","doi-asserted-by":"crossref","first-page":"229","DOI":"10.1023\/A:1018594320699","article-title":"A simulated annealing version of the EM algorithm for non-Gaussian deconvolution","volume":"7","author":"Lavielle","year":"1997","journal-title":"Statist. Comput."},{"key":"10.1016\/S0165-1684(99)00074-2_BIB21","unstructured":"M. Pelletier, Sur le comportement asymptotique des algorithmes stochastiques, Ph.D. Thesis, Universit\u00e9 Paris-Sud, 1996."},{"key":"10.1016\/S0165-1684(99)00074-2_BIB22","first-page":"98","article-title":"New stochastic approximation type procedures","volume":"51","author":"Polyak","year":"1990","journal-title":"Automatica i Telemekh (translated in Automat. Remote Control)"},{"key":"10.1016\/S0165-1684(99)00074-2_BIB23","unstructured":"C. Robert, M\u00e9thodes de Monte-Carlo par cha\u0131\u0302nes de Markov, Economica, 1996."},{"key":"10.1016\/S0165-1684(99)00074-2_BIB24","unstructured":"S. Ross, Simulation, Academic Press, New York, 1996."},{"key":"10.1016\/S0165-1684(99)00074-2_BIB25","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1111\/j.2517-6161.1993.tb01466.x","article-title":"Bayesian computation via Gibbs sampler and related Markov chains Monte Carlo methods","volume":"55","author":"Smith","year":"1993","journal-title":"J. Roy. Statist. Soc. B"},{"key":"10.1016\/S0165-1684(99)00074-2_BIB26","doi-asserted-by":"crossref","unstructured":"M. Tanner, Tools for Statistical Inference, Springer, Berlin, 1993.","DOI":"10.1007\/978-1-4684-0192-9"},{"key":"10.1016\/S0165-1684(99)00074-2_BIB27","doi-asserted-by":"crossref","unstructured":"P. Tarits, V. Jouanne, M. Menvielle, M. Roussignol, Bayesian statistics of non linear inverse problems: example of the MT 1-d inverse problem, Geophys. J. Int. (1994).","DOI":"10.1111\/j.1365-246X.1994.tb00128.x"},{"key":"10.1016\/S0165-1684(99)00074-2_BIB28","doi-asserted-by":"crossref","first-page":"1701","DOI":"10.1214\/aos\/1176325750","article-title":"Markov chains for exploring posterior distributions","volume":"22","author":"Tierney","year":"1994","journal-title":"Ann. Statist."}],"container-title":["Signal Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0165168499000742?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0165168499000742?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2024,12,6]],"date-time":"2024-12-06T17:05:13Z","timestamp":1733504713000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0165168499000742"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1999,11]]},"references-count":28,"journal-issue":{"issue":"3","published-print":{"date-parts":[[1999,11]]}},"alternative-id":["S0165168499000742"],"URL":"https:\/\/doi.org\/10.1016\/s0165-1684(99)00074-2","relation":{},"ISSN":["0165-1684"],"issn-type":[{"type":"print","value":"0165-1684"}],"subject":[],"published":{"date-parts":[[1999,11]]}}}