-
6
-
-
20444465712
-
Bayesian variable selection in clustering high-dimensional data
-
Tadesse M., Sha N., and Vannucci M. Bayesian variable selection in clustering high-dimensional data. J. Amer. Statist. Assoc. 100 (2005) 602-617
-
(2005)
J. Amer. Statist. Assoc.
, vol.100
, pp. 602-617
-
-
Tadesse, M.1
Sha, N.2
Vannucci, M.3
-
7
-
-
0032269108
-
How many clusters? Which clustering method? Answers via model-based cluster analysis
-
Fraley C., and Raftery A.E. How many clusters? Which clustering method? Answers via model-based cluster analysis. The Computer J. 41 (1998) 578-588
-
(1998)
The Computer J.
, vol.41
, pp. 578-588
-
-
Fraley, C.1
Raftery, A.E.2
-
8
-
-
25444528487
-
On modelling locus heterogeneity using mixture distributions
-
Lin S., and Biswas S. On modelling locus heterogeneity using mixture distributions. BMC Genetics 5 (2004) 29
-
(2004)
BMC Genetics
, vol.5
, pp. 29
-
-
Lin, S.1
Biswas, S.2
-
9
-
-
33645505223
-
Variable selection for model-based clustering
-
Raftery A.E., and Dean N. Variable selection for model-based clustering. J. Amer. Statist. Assoc. 101 (2006) 168-178
-
(2006)
J. Amer. Statist. Assoc.
, vol.101
, pp. 168-178
-
-
Raftery, A.E.1
Dean, N.2
-
10
-
-
8844241460
-
Class discovery and classification of tumor samples using mixture modeling of gene expression data-A unified approach
-
Alexandridis R., Lin S., and Irwin M. Class discovery and classification of tumor samples using mixture modeling of gene expression data-A unified approach. Bioinformatics 20 (2004) 2545-2552
-
(2004)
Bioinformatics
, vol.20
, pp. 2545-2552
-
-
Alexandridis, R.1
Lin, S.2
Irwin, M.3
-
11
-
-
21144484047
-
Multivariate normal mixtures: A fast consistent method of moments
-
Lindsay B.G., and Basak P. Multivariate normal mixtures: A fast consistent method of moments. J. Amer. Statist. Assoc. 86 (1993) 468-476
-
(1993)
J. Amer. Statist. Assoc.
, vol.86
, pp. 468-476
-
-
Lindsay, B.G.1
Basak, P.2
-
12
-
-
0001381164
-
Estimating the components of a mixture of normal distributions
-
Day N.E. Estimating the components of a mixture of normal distributions. Biometrika 56 (1969) 463-474
-
(1969)
Biometrika
, vol.56
, pp. 463-474
-
-
Day, N.E.1
-
13
-
-
0001354471
-
A constrained formulation of maximum-likelihood estimation for normal mixture distributions
-
Hathaway R.J. A constrained formulation of maximum-likelihood estimation for normal mixture distributions. Ann. Statist. 13 (1985) 795-800
-
(1985)
Ann. Statist.
, vol.13
, pp. 795-800
-
-
Hathaway, R.J.1
-
14
-
-
64249107955
-
Consistency of the constrained maximum likelihood estimator in finite normal mixture models
-
American Statistical Association, Alexandria, VA [CD-ROM]
-
Tan X., Chen J., and Zhang R. Consistency of the constrained maximum likelihood estimator in finite normal mixture models. 2007, Proceedings of the American Statistical Association (2007), American Statistical Association, Alexandria, VA 2113-2119 [CD-ROM]
-
(2007)
2007, Proceedings of the American Statistical Association
, pp. 2113-2119
-
-
Tan, X.1
Chen, J.2
Zhang, R.3
-
15
-
-
34247898329
-
A likelihood-based constrained algorithm for multivariate normal mixture models
-
Ingrassia S. A likelihood-based constrained algorithm for multivariate normal mixture models. Stat. Methods Appl. 13 (2004) 151-166
-
(2004)
Stat. Methods Appl.
, vol.13
, pp. 151-166
-
-
Ingrassia, S.1
-
16
-
-
30344468432
-
The topography of multivariate normal mixtures
-
Ray S., and Lindsay B.G. The topography of multivariate normal mixtures. Ann. Statist. 33 (2005) 2042-2065
-
(2005)
Ann. Statist.
, vol.33
, pp. 2042-2065
-
-
Ray, S.1
Lindsay, B.G.2
-
17
-
-
0000357775
-
On use of the EM algorithm for penalized likelihood estimation
-
Green P.J. On use of the EM algorithm for penalized likelihood estimation. J. Roy. Statist. Soc. Ser. B 52 (1990) 443-452
-
(1990)
J. Roy. Statist. Soc. Ser. B
, vol.52
, pp. 443-452
-
-
Green, P.J.1
-
19
-
-
47849122669
-
Inference for normal mixture in mean and variance
-
Chen J., Tan X., and Zhang R. Inference for normal mixture in mean and variance. Statist. Sinica 18 (2008) 443-465
-
(2008)
Statist. Sinica
, vol.18
, pp. 443-465
-
-
Chen, J.1
Tan, X.2
Zhang, R.3
-
21
-
-
0002210265
-
On the convergence properties of the EM algorithm
-
Wu C.-F. On the convergence properties of the EM algorithm. Ann. Statist. 11 (1983) 95-103
-
(1983)
Ann. Statist.
, vol.11
, pp. 95-103
-
-
Wu, C.-F.1
-
22
-
-
0021404166
-
Mixture densities, maximum likelihood and the EM algorithm
-
Richard R.A., and Walker H.F. Mixture densities, maximum likelihood and the EM algorithm. SIAM Rev. 26 (1984) 195-239
-
(1984)
SIAM Rev.
, vol.26
, pp. 195-239
-
-
Richard, R.A.1
Walker, H.F.2
-
23
-
-
0001486499
-
-
Neyman J. (Ed), University of California Press, Berkeley, CA
-
James W., and Stein C. In: Neyman J. (Ed). Estimation with Quadratic Loss. Proc. Fourth Berkeley Symp. Math. Statist. Probab. vol. 1 (1961), University of California Press, Berkeley, CA 361-379
-
(1961)
Proc. Fourth Berkeley Symp. Math. Statist. Probab.
, vol.1
, pp. 361-379
-
-
James, W.1
Stein, C.2
-
24
-
-
0000167944
-
Note on the consistency of the maximum likelihood estimate
-
Wald A. Note on the consistency of the maximum likelihood estimate. Ann. Math. Statist. 20 (1949) 595-601
-
(1949)
Ann. Math. Statist.
, vol.20
, pp. 595-601
-
-
Wald, A.1
-
25
-
-
0000284439
-
Consistency on the maximum likelihood estimator in the presence of infinitely many incidental parameters
-
Kiefer J., and Wolfowitz J. Consistency on the maximum likelihood estimator in the presence of infinitely many incidental parameters. Ann. Math. Statist. 27 (1956) 887-906
-
(1956)
Ann. Math. Statist.
, vol.27
, pp. 887-906
-
-
Kiefer, J.1
Wolfowitz, J.2
|