-
1
-
-
33847380259
-
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
-
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
-
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
-
4
-
-
82055187769
-
-
InTech, Rijeka, Croatia, Chap. 10
-
Lagona, F., Maruotti, A. and Picone, M. 2011. A non-homogeneous hidden Markov model for the analysis of multi-pollutant exceedances data, in Hidden Markov Models, Theory and Applications,: 207 - 222. InTech, Rijeka, Croatia, Chap. 10
-
(2011)
A non-homogeneous hidden Markov model for the analysis of multi-pollutant exceedances data, in Hidden Markov Models, Theory and Applications
, pp. 207-222
-
-
Lagona, F.1
Maruotti, A.2
Picone, M.3
-
5
-
-
0013138158
-
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
-
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
-
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
-
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
-
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
-
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
-
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
|