{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,23]],"date-time":"2026-08-23T14:59:23Z","timestamp":1787497163213,"version":"build-2736575974"},"reference-count":16,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2009,8,6]],"date-time":"2009-08-06T00:00:00Z","timestamp":1249516800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Adv Data Anal Classif"],"published-print":{"date-parts":[[2009,9]]},"DOI":"10.1007\/s11634-009-0043-x","type":"journal-article","created":{"date-parts":[[2009,8,5]],"date-time":"2009-08-05T03:09:37Z","timestamp":1249441777000},"page":"109-134","source":"Crossref","is-referenced-by-count":11,"title":["Variable selection in model-based clustering using multilocus genotype data"],"prefix":"10.1007","volume":"3","author":[{"given":"Wilson","family":"Toussile","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Elisabeth","family":"Gassiat","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2009,8,6]]},"reference":[{"key":"43_CR1","doi-asserted-by":"crossref","unstructured":"Allman ES, Matias C, Rhodes JA (2009) Identifiability of latent class models with many observed variables. Ann Stat (to appear)","DOI":"10.1214\/09-AOS689"},{"key":"43_CR2","doi-asserted-by":"crossref","unstructured":"Azais J-M, Gassiat E, Mercadier C (2009) The likelihood ratio test for general mixture models with possibly structural parameter. ESAIM P&S (to appear)","DOI":"10.1051\/ps:2008010"},{"key":"43_CR3","unstructured":"Biernacki C, Celeux G, Govaert G (2001) Strategies for getting highest likehood in mixture models. Technical Report 4255, INRIA"},{"key":"43_CR4","doi-asserted-by":"crossref","unstructured":"Chambaz A, Garivier A, Gassiat E (2008) A MDL approach to HMM with Poisson and Gaussian emissions. Application to order identification (to appear JSPI)","DOI":"10.1016\/j.jspi.2008.06.010"},{"key":"43_CR5","doi-asserted-by":"crossref","first-page":"539","DOI":"10.1186\/1471-2105-9-539","volume":"9","author":"J Corander","year":"2008","unstructured":"Corander J, Marttinen P, Sir\u00e9n J, Tang J (2008) Enhanced Bayesian modelling in baps software for learning genetic structures of populations. BMC Bioinformatics 9: 539","journal-title":"BMC Bioinformatics"},{"key":"43_CR6","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1111\/j.2517-6161.1977.tb01600.x","volume":"39","author":"AP Dempster","year":"1977","unstructured":"Dempster AP, Lairdsand NM, Rubin DB (1977) Maximum likelihood from in-complete data via the EM algorithm. J R Stat Soc B 39: 1\u201338","journal-title":"J R Stat Soc B"},{"issue":"2","key":"43_CR7","doi-asserted-by":"crossref","first-page":"805","DOI":"10.1534\/genetics.106.059923","volume":"174","author":"O Fran\u00e7ois","year":"2006","unstructured":"Fran\u00e7ois O, Ancelet S, Guillot G (2006) Bayesian clustering using hidden Markov random fields in spatial population genetics. Genetics 174(2): 805\u2013816","journal-title":"Genetics"},{"key":"43_CR8","doi-asserted-by":"crossref","unstructured":"Gassiat E (2002) Likelihood ratio inequalities with applications to various mixtures. In: Annales de l\u2019Institut Henri Poincar\u00e9\/Probabilit\u00e9s et statistiques, vol 38, pp 897\u2013906. Elsevier SAS","DOI":"10.1016\/S0246-0203(02)01125-1"},{"issue":"3","key":"43_CR9","doi-asserted-by":"crossref","first-page":"712","DOI":"10.1111\/j.1471-8286.2005.01031.x","volume":"5","author":"G Guillot","year":"2005","unstructured":"Guillot G, Mortier F, Estoup A (2005) Geneland: a computer package for landscape genetics. Mol Ecol Notes 5(3): 712\u2013715","journal-title":"Mol Ecol Notes"},{"issue":"2","key":"43_CR10","doi-asserted-by":"crossref","first-page":"295","DOI":"10.1007\/s10592-005-9098-1","volume":"7","author":"EK Latch","year":"2006","unstructured":"Latch EK, Dharmarajan GC, Glaubitz J, Rhodes OE Jr (2006) Relative performance of Bayesian clustering software for inferring population substructure and individual assignment at low levels of population differentiation. Conserv Genet 7(2): 295","journal-title":"Conserv Genet"},{"key":"43_CR11","unstructured":"Massart P (2007) Concentration inequalities and model selection, vol 1896 of Lecture Notes in Mathematics. Springer, Berlin. Lectures from the 33rd Summer School on probability theory held in Saint-Flour, July 6\u201323, 2003, With a foreword by Jean Picard"},{"key":"43_CR12","doi-asserted-by":"crossref","unstructured":"Maugis C, Celeux G, Martin-Magniette M-L (2009) Variable selection for clustering with gaussian mixture models. Biometrics (to appear)","DOI":"10.1111\/j.1541-0420.2008.01160.x"},{"issue":"2","key":"43_CR13","doi-asserted-by":"crossref","first-page":"945","DOI":"10.1093\/genetics\/155.2.945","volume":"155","author":"JK Pritchard","year":"2000","unstructured":"Pritchard JK, Stephens M, Donnelly P (2000) Inference of population structure using multilocus genotype data. Genetics 155(2): 945\u2013959","journal-title":"Genetics"},{"key":"43_CR14","unstructured":"R Development Core Team (2009) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0"},{"issue":"3","key":"43_CR15","doi-asserted-by":"crossref","first-page":"858","DOI":"10.1073\/pnas.98.3.858","volume":"98","author":"NA Rosenberg","year":"2001","unstructured":"Rosenberg NA, Woolf E, Pritchard JK, Schaap T, Gefel D, Shpirer I, Lavi U, Bonne-Tamir B, Hillel J, Feldman MW (2001) Distinctive genetic signatures in the libyan jews. Proc Natl Acad Sci USA 98(3): 858\u2013863","journal-title":"Proc Natl Acad Sci USA"},{"issue":"2","key":"43_CR16","doi-asserted-by":"crossref","first-page":"220","DOI":"10.1016\/j.fishres.2005.08.011","volume":"77","author":"Y Wang","year":"2006","unstructured":"Wang Y, Liu Q (2006) Comparison of Akaike information criterion (AIC) and Bayesian information criterion (BIC) in selection of stock\u2013recruitment relationships. Fish Res 77(2): 220\u2013225","journal-title":"Fish Res"}],"container-title":["Advances in Data Analysis and Classification"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11634-009-0043-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11634-009-0043-x\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11634-009-0043-x","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,11]],"date-time":"2025-02-11T11:45:46Z","timestamp":1739274346000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11634-009-0043-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2009,8,6]]},"references-count":16,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2009,9]]}},"alternative-id":["43"],"URL":"https:\/\/doi.org\/10.1007\/s11634-009-0043-x","relation":{},"ISSN":["1862-5347","1862-5355"],"issn-type":[{"value":"1862-5347","type":"print"},{"value":"1862-5355","type":"electronic"}],"subject":[],"published":{"date-parts":[[2009,8,6]]}}}