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Choquet, Rémi, Béchet, Arnaud, Guédon, Yann (2014) Applications of hidden hybrid Markov/semi-Markov models: from stopover duration to breeding success dynamics. Ecology and Evolution, 4 (6). 817-826 doi:10.1002/ece3.962

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Reference TypeJournal (article/letter/editorial)
TitleApplications of hidden hybrid Markov/semi-Markov models: from stopover duration to breeding success dynamics
JournalEcology and Evolution
AuthorsChoquet, RémiAuthor
Béchet, ArnaudAuthor
Guédon, YannAuthor
Year2014 (March)Volume4
Issue6
PublisherWiley
DOIdoi:10.1002/ece3.962Search in ResearchGate
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Mindat Ref. ID5820176Long-form Identifiermindat:1:5:5820176:5
GUID0
Full ReferenceChoquet, Rémi, Béchet, Arnaud, Guédon, Yann (2014) Applications of hidden hybrid Markov/semi-Markov models: from stopover duration to breeding success dynamics. Ecology and Evolution, 4 (6). 817-826 doi:10.1002/ece3.962
Plain TextChoquet, Rémi, Béchet, Arnaud, Guédon, Yann (2014) Applications of hidden hybrid Markov/semi-Markov models: from stopover duration to breeding success dynamics. Ecology and Evolution, 4 (6). 817-826 doi:10.1002/ece3.962
In(2014, March) Ecology and Evolution Vol. 4 (6) Wiley

See Also

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Guédon, Yann (2005) Hidden hybrid Markov/semi-Markov chains. Computational Statistics & Data Analysis, 49 (3). 663-688 doi:10.1016/j.csda.2004.05.033
Guédon, Yann (2009) Semi-Markov Chains and Hidden Semi-Markov Models toward Applications: Their Use in Reliability and DNA Analysis by BARBU, V. S. and LIMNIOS, N. Biometrics, 65 (4). 1312 doi:10.1111/j.1541-0420.2009.01343_8.x
Guédon, Yann (2003) Estimating Hidden Semi-Markov Chains From Discrete Sequences. Journal of Computational and Graphical Statistics, 12 (3). 604-639 doi:10.1198/1061860032030
Guédon, Yann (2007) Exploring the state sequence space for hidden Markov and semi-Markov chains. Computational Statistics & Data Analysis, 51 (5). 2379-2409 doi:10.1016/j.csda.2006.03.015
Chaubert-Pereira, Florence, Guédon, Yann, Lavergne, Christian, Trottier, Catherine (2010) Markov and Semi-Markov Switching Linear Mixed Models Used to Identify Forest Tree Growth Components. Biometrics, 66 (3). 753-762 doi:10.1111/j.1541-0420.2009.01338.x
Fieberg, John R., Conn, Paul B. (2014) A hidden Markov model to identify and adjust for selection bias: an example involving mixed migration strategies. Ecology and Evolution, 4 (10). 1903-1912 doi:10.1002/ece3.1066
(2015) Hidden semi-Markov models reveal multiphasic movement of the endangered Florida panther. Journal of Animal Ecology, 84 (2) 576-585 doi:10.1111/1365-2656.12290
Amini, Morteza, Bayat, Afarin, Salehian, Reza (2023) hhsmm: an R package for hidden hybrid Markov/semi-Markov models. Computational Statistics, 38 (3) Springer Science and Business Media LLC. 1283-1335 doi:10.1007/s00180-022-01248-x
Francesiaz, Charlotte, Yohannes, Elizabeth, Besnard, Aurélien, Sadoul, Nicolas, Blanchon, Thomas, Béchet, Arnaud (2020) Foraging niche shift maintains breeding parameters of a colonial waterbird during range expansion. Ecology and Evolution, 10 (4). 1988-1997 doi:10.1002/ece3.6030
(2009) Classifying movement behaviour in relation to environmental conditions using hidden Markov models. Journal of Animal Ecology, 78 (6) 1113-1123 doi:10.1111/j.1365-2656.2009.01583.x
Grewal, Jasleen K., Krzywinski, Martin, Altman, Naomi (2019) Markov models — hidden Markov models. Nature Methods, 16 (9). 795-796 doi:10.1038/s41592-019-0532-6
 
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