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Volumn 83, Issue 7, 2013, Pages 1223-1237

Maximum likelihood estimation of bivariate circular hidden Markov models from incomplete data

Author keywords

bivariate circular data; bivariate von Mises; EM algorithm; hidden Markov model; importance sampling; missing values; mixtures; sine model; wave; wind

Indexed keywords


EID: 84880285298     PISSN: 00949655     EISSN: 15635163     Source Type: Journal    
DOI: 10.1080/00949655.2012.656642     Document Type: Article
Times cited : (16)

References (13)
  • 1
    • 33847380259 scopus 로고    scopus 로고
    • Hidden Markov models for circular and linear-circular time series
    • doi:10.1007/s10651-006-0015-7
    • Holzmann, H., Munk, A., Suster, M. and Zucchini, W. 2006. Hidden Markov models for circular and linear-circular time series. Environ. Ecol. Stat., 13: 325 - 347. doi:10.1007/s10651-006-0015-7. (doi:10.1007/s10651-006-0015-7) (doi:10.1007/s10651-006-0015-7)
    • (2006) Environ. Ecol. Stat. , vol.13 , pp. 325-347
    • Holzmann, H.1    Munk, A.2    Suster, M.3    Zucchini, W.4
  • 2
    • 84859633920 scopus 로고    scopus 로고
    • A latent-class model for clustering incomplete linear and circular data in marine studies
    • Lagona, F. and Picone, M. 2011. A latent-class model for clustering incomplete linear and circular data in marine studies. J. Data Sci., 9: 585 - 605.
    • (2011) J. Data Sci. , vol.9 , pp. 585-605
    • Lagona, F.1    Picone, M.2
  • 3
    • 0042547030 scopus 로고    scopus 로고
    • MML Markov classification of sequential data
    • doi:10.1023/A:1008907921792
    • Edgoose, T. and Allison, L. 1999. MML Markov classification of sequential data. Stat. Comput., 9: 269 - 278. doi:10.1023/A:1008907921792. (doi:10.1023/A:1008907921792) (doi:10.1023/A:1008907921792)
    • (1999) Stat. Comput. , vol.9 , pp. 269-278
    • Edgoose, T.1    Allison, L.2
  • 5
    • 0013138158 scopus 로고    scopus 로고
    • Probabilistic model for two dependent circular variables
    • doi:10.1093/biomet/89.3.719
    • Singh, H., Hnizdo, V. and Demchuk, E. 2002. Probabilistic model for two dependent circular variables. Biometrika, 89 (3): 719 - 723. (doi:10.1093/biomet/89.3.719)
    • (2002) Biometrika , vol.89 , Issue.3 , pp. 719-723
    • Singh, H.1    Hnizdo, V.2    Demchuk, E.3
  • 6
    • 44649142806 scopus 로고    scopus 로고
    • A multivariate von Mises distribution with applications to bioinformatics
    • doi:10.1002/cjs.5550360110
    • Mardia, K. V., Hughes, G., Taylor, C. C. and Singh, H. 2008. A multivariate von Mises distribution with applications to bioinformatics. Canad. J. Statist., 36: 99 - 109. (doi:10.1002/cjs.5550360110)
    • (2008) Canad. J. Statist. , vol.36 , pp. 99-109
    • Mardia, K.V.1    Hughes, G.2    Taylor, C.C.3    Singh, H.4
  • 7
    • 84859640752 scopus 로고    scopus 로고
    • Model-based clustering of multivariate skew data with circular components and missing values
    • (to appear) doi:10.1080/02664763.2011.626850. Available at
    • Lagona, F. and Picone, M. Model-based clustering of multivariate skew data with circular components and missing values. J. Appl. Stat., 1 - 19. (to appear) doi:10.1080/02664763.2011.626850. Available at http://www.tandfonline.com/doi/abs/10.1080/02664763.2011.626850.
    • J. Appl. Stat. , pp. 1-19
    • Lagona, F.1    Picone, M.2
  • 8
    • 49049121835 scopus 로고    scopus 로고
    • Dependent models for observations which include angular ones
    • Special Issue in Honor of Junjiro Ogawa (1915-2000): Design of Experiments, Multivariate Analysis and Statistical Inference, doi:10.1016/j.jspi.2006.12.009
    • Kato, S. and Shimizu, K. 2008. Dependent models for observations which include angular ones. J. Statist. Plann. Inference, 138: 3538 - 3549. Special Issue in Honor of Junjiro Ogawa (1915-2000): Design of Experiments, Multivariate Analysis and Statistical Inference. (doi:10.1016/j.jspi.2006.12.009) (doi:10.1016/j.jspi.2006.12.009)
    • (2008) J. Statist. Plann. Inference , vol.138 , pp. 3538-3549
    • Kato, S.1    Shimizu, K.2
  • 10
    • 34547679634 scopus 로고    scopus 로고
    • Protein bioinformatics and mixtures of bivariate von Mises distributions for angular data
    • doi:10.1111/j.1541-0420.2006.00682.x
    • Mardia, K., Taylor, C. and Subramaniam, G. 2007. Protein bioinformatics and mixtures of bivariate von Mises distributions for angular data. Biometrics, 63: 505 - 512. (doi:10.1111/j.1541-0420.2006.00682.x)
    • (2007) Biometrics , vol.63 , pp. 505-512
    • Mardia, K.1    Taylor, C.2    Subramaniam, G.3
  • 11
    • 0037469122 scopus 로고    scopus 로고
    • Choosing starting values for the EM algorithm for getting the highest likelihood in multivariate Gaussian mixture models
    • doi:10.1016/S0167-9473(02)00163-9
    • Biernacki, C., Celeux, G. and Govaert, G. 2003. Choosing starting values for the EM algorithm for getting the highest likelihood in multivariate Gaussian mixture models. Comput. Statist. Data Anal., 41: 561 - 575. (doi:10.1016/S0167-9473(02)00163-9)
    • (2003) Comput. Statist. Data Anal. , vol.41 , pp. 561-575
    • Biernacki, C.1    Celeux, G.2    Govaert, G.3
  • 13
    • 18044385829 scopus 로고    scopus 로고
    • Confidence intervals for hidden Markov model parameters
    • doi:10.1348/000711000159240
    • Visser, I., Raijmakers, M. and Molenaar, P. 2000. Confidence intervals for hidden Markov model parameters. British J. Math. Statist. Psych., 53: 317 - 327. (doi:10.1348/000711000159240)
    • (2000) British J. Math. Statist. Psych. , vol.53 , pp. 317-327
    • Visser, I.1    Raijmakers, M.2    Molenaar, P.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.