-
1
-
-
77958055170
-
Extending mixtures of multivariate t-factor analyzers
-
J.L. Andrews, and P.D. McNicholas Extending mixtures of multivariate t-factor analyzers Stat. Comput. 21 2011 361 373
-
(2011)
Stat. Comput.
, vol.21
, pp. 361-373
-
-
Andrews, J.L.1
McNicholas, P.D.2
-
2
-
-
84863556177
-
Model-based clustering, classification, and discriminant analysis via mixtures of multivariate t-distributions
-
J.L. Andrews, and P.D. McNicholas Model-based clustering, classification, and discriminant analysis via mixtures of multivariate t-distributions Stat. Comput. 22 2012 1021 1029
-
(2012)
Stat. Comput.
, vol.22
, pp. 1021-1029
-
-
Andrews, J.L.1
McNicholas, P.D.2
-
3
-
-
0027453616
-
Model-based Gaussian and non-Gaussian clustering
-
J.D. Banfield, and A.E. Raftery Model-based Gaussian and non-Gaussian clustering Biometrics 49 1993 803 821 (Pubitemid 23298358)
-
(1993)
Biometrics
, vol.49
, Issue.3
, pp. 803-821
-
-
Banfield, J.D.1
Raftery, A.E.2
-
4
-
-
0030326891
-
Regularized Gaussian discriminant analysis through eigenvalue decomposition
-
H. Bensmail, and G. Celeux Regularized Gaussian discriminant analysis through eigenvalue decomposition J. Amer. Statist. Assoc. 91 1996 1743 1748
-
(1996)
J. Amer. Statist. Assoc.
, vol.91
, pp. 1743-1748
-
-
Bensmail, H.1
Celeux, G.2
-
6
-
-
0034228914
-
Assessing a mixture model for clustering with the integrated completed likelihood
-
C. Biernacki, G. Celeux, and G. Govaert Assessing a mixture model for clustering with the integrated completed likelihood IEEE Trans. Pattern Anal. Mach. Intell. 22 2000 719 725
-
(2000)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.22
, pp. 719-725
-
-
Biernacki, C.1
Celeux, G.2
Govaert, G.3
-
7
-
-
33750342111
-
Model-based cluster and discriminant analysis with the MIXMOD software
-
DOI 10.1016/j.csda.2005.12.015, PII S0167947305003300
-
C. Biernacki, G. Celeux, G. Govaert, and F. Langrognet Model-based clustering and discriminant analysis with the MIXMOD software Comput. Statist. Data Anal. 51 2006 587 600 (Pubitemid 44635895)
-
(2006)
Computational Statistics and Data Analysis
, vol.51
, Issue.2
, pp. 587-600
-
-
Biernacki, C.1
Celeux, G.2
Govaert, G.3
Langrognet, F.4
-
9
-
-
0001730744
-
The distribution of the likelihood ratio for mixtures of densities from the one-parameter exponential family
-
D. Böhning, E. Dietz, R. Schaub, P. Schlattmann, and B. Lindsay The distribution of the likelihood ratio for mixtures of densities from the one-parameter exponential family Ann. Inst. Statist. Math. 46 1994 373 388
-
(1994)
Ann. Inst. Statist. Math.
, vol.46
, pp. 373-388
-
-
Böhning, D.1
Dietz, E.2
Schaub, R.3
Schlattmann, P.4
Lindsay, B.5
-
10
-
-
0033475053
-
Maximizing generalized linear mixed model likelihoods with an automated Monte Carlo em algorithm
-
J.G. Booth, and J.P. Hobert Maximizing generalized linear mixed model likelihoods with an automated Monte Carlo EM algorithm J. Roy. Statist. Soc. Ser. B 61 1999 265 285
-
(1999)
J. Roy. Statist. Soc. Ser. B
, vol.61
, pp. 265-285
-
-
Booth, J.G.1
Hobert, J.P.2
-
11
-
-
0001626339
-
A classification em algorithm for clustering and two stochastic versions
-
G. Celeux, and G. Govaert A classification EM algorithm for clustering and two stochastic versions Comput. Statist. Data Anal. 14 1992 315 332
-
(1992)
Comput. Statist. Data Anal.
, vol.14
, pp. 315-332
-
-
Celeux, G.1
Govaert, G.2
-
12
-
-
0029305528
-
Gaussian parsimonious clustering models
-
G. Celeux, and G. Govaert Gaussian parsimonious clustering models Pattern Recognit. 28 1995 781 793
-
(1995)
Pattern Recognit.
, vol.28
, pp. 781-793
-
-
Celeux, G.1
Govaert, G.2
-
13
-
-
0040766419
-
A remark on algorithm AS 211. The F-G diagonalization algorithm
-
D.B. Clarkson A remark on algorithm AS 211. The F-G diagonalization algorithm Appl. Stat. 37 1988 147 151
-
(1988)
Appl. Stat.
, vol.37
, pp. 147-151
-
-
Clarkson, D.B.1
-
14
-
-
0038988125
-
A least squares version of algorithm AS 211: The F-G diagonalization algorithm
-
D.B. Clarkson A least squares version of algorithm AS 211: the F-G diagonalization algorithm Appl. Stat. 37 1988 317 321
-
(1988)
Appl. Stat.
, vol.37
, pp. 317-321
-
-
Clarkson, D.B.1
-
15
-
-
0002629270
-
Maximum likelihood from incomplete data via the em algorithm (with discussion)
-
A.P. Dempster, N.M. Laird, and D.B. Rubin Maximum likelihood from incomplete data via the EM algorithm (with discussion) J. Roy. Statist. Soc. Ser. B 39 1977 1 38
-
(1977)
J. Roy. Statist. Soc. Ser. B
, vol.39
, pp. 1-38
-
-
Dempster, A.P.1
Laird, N.M.2
Rubin, D.B.3
-
16
-
-
0001244941
-
Estimation of finite mixture distributions through Bayesian sampling
-
J. Diebolt, and C.P. Robert Estimation of finite mixture distributions through Bayesian sampling J. Roy. Statist. Soc. Ser. B 56 1994 363 375
-
(1994)
J. Roy. Statist. Soc. Ser. B
, vol.56
, pp. 363-375
-
-
Diebolt, J.1
Robert, C.P.2
-
17
-
-
84950937290
-
Bayesian density estimation and inference using mixtures
-
M.D. Escobar, and M. West Bayesian density estimation and inference using mixtures J. Amer. Statist. Assoc. 90 1995 577 588
-
(1995)
J. Amer. Statist. Assoc.
, vol.90
, pp. 577-588
-
-
Escobar, M.D.1
West, M.2
-
18
-
-
0003877648
-
-
Monographs on Statistics and Applied Probability Chapman & Hall London, New York
-
B.S. Everitt, and D.J. Hand Finite Mixture Distributions Monographs on Statistics and Applied Probability 1981 Chapman & Hall London, New York
-
(1981)
Finite Mixture Distributions
-
-
Everitt, B.S.1
Hand, D.J.2
-
19
-
-
0000643180
-
Common principal component in k groups
-
B. Flury Common principal component in k groups J. Amer. Statist. Assoc. 79 1984 892 898
-
(1984)
J. Amer. Statist. Assoc.
, vol.79
, pp. 892-898
-
-
Flury, B.1
-
20
-
-
0001437379
-
An algorithm for simultaneous orthogonal transformation of several positive definite symmetric matrices to nearly diagonal form
-
B.N. Flury, and W. Gautschi An algorithm for simultaneous orthogonal transformation of several positive definite symmetric matrices to nearly diagonal form J. Sci. Statist. Comput. 7 1986 169 184
-
(1986)
J. Sci. Statist. Comput.
, vol.7
, pp. 169-184
-
-
Flury, B.N.1
Gautschi, W.2
-
21
-
-
0032269108
-
How many clusters? which clustering method? answers via model-based cluster analysis
-
C. Fraley, and A.E. Raftery How many clusters? which clustering method? answers via model-based cluster analysis Comput. J. 41 1998 578 588
-
(1998)
Comput. J.
, vol.41
, pp. 578-588
-
-
Fraley, C.1
Raftery, A.E.2
-
22
-
-
0035998835
-
Model-based clustering, discriminant analysis, and density estimation
-
C. Fraley, and A.E. Raftery Model-based clustering, discriminant analysis, and density estimation J. Amer. Statist. Assoc. 97 2002 611 612
-
(2002)
J. Amer. Statist. Assoc.
, vol.97
, pp. 611-612
-
-
Fraley, C.1
Raftery, A.E.2
-
23
-
-
0742306126
-
Enhanced Model-Based Clustering, Density Estimation, and Discriminant Analysis Software: MCLUST
-
C. Fraley, and A.E Raftery Enhanced model-based clustering, density estimation, and discriminant analysis software: MCLUST J. Classification 20 2003 263 286 (Pubitemid 38157158)
-
(2003)
Journal of Classification
, vol.20
, Issue.2
, pp. 263-286
-
-
Fraley, C.1
Raftery, A.E.2
-
25
-
-
34247969087
-
On some invariant criteria for grouping data
-
H.P. Friedman, and J. Rubin On some invariant criteria for grouping data J. Amer. Statist. Assoc. 62 1967 1159 1178
-
(1967)
J. Amer. Statist. Assoc.
, vol.62
, pp. 1159-1178
-
-
Friedman, H.P.1
Rubin, J.2
-
27
-
-
0001551844
-
Supervised learning from incomplete data via an em approach
-
JD Cowan, G Tesarro, J Alspector, Morgan Kaufmann San Francisco
-
Z. Ghahramani, and M.I. Jordan Supervised learning from incomplete data via an EM approach JD Cowan, G Tesarro, J Alspector, Advances in Neural Information Processing Systems, Vol. 6 1994 Morgan Kaufmann San Francisco 120 127
-
(1994)
Advances in Neural Information Processing Systems, Vol. 6
, pp. 120-127
-
-
Ghahramani, Z.1
Jordan, M.I.2
-
28
-
-
77956890234
-
Monte Carlo sampling methods using Markov chains and their applications
-
W.K. Hastings Monte Carlo sampling methods using Markov chains and their applications Biometrika 57 1970 97 109
-
(1970)
Biometrika
, vol.57
, pp. 97-109
-
-
Hastings, W.K.1
-
29
-
-
11244326960
-
Clustering visualizations of multivariate data
-
C. Hurley Clustering visualizations of multivariate data J. Comput. Graph. Statist. 13 2004 788 806
-
(2004)
J. Comput. Graph. Statist.
, vol.13
, pp. 788-806
-
-
Hurley, C.1
-
30
-
-
0002954754
-
Consistent estimation of the order of mixture models
-
C. Keribin Consistent estimation of the order of mixture models Sankhyā Ser. A 62 2000 49 66
-
(2000)
Sankhyā Ser. A
, vol.62
, pp. 49-66
-
-
Keribin, C.1
-
31
-
-
56349112368
-
Maximum likelihood estimation for multivariate skew normal mixture models
-
T.I. Lin Maximum likelihood estimation for multivariate skew normal mixture models J. Multivariate Anal. 100 2009 257 265
-
(2009)
J. Multivariate Anal.
, vol.100
, pp. 257-265
-
-
Lin, T.I.1
-
32
-
-
77749280346
-
Robust mixture modeling using multivariate skew t distributions
-
T.I. Lin Robust mixture modeling using multivariate skew t distributions Stat. Comput. 20 2010 343 356
-
(2010)
Stat. Comput.
, vol.20
, pp. 343-356
-
-
Lin, T.I.1
-
33
-
-
70350043774
-
Computationally efficient learning of multivariate t mixture models with missing information
-
T.I. Lin, H.J. Ho, and P.S. Shen Computationally efficient learning of multivariate t mixture models with missing information Comput. Stat. 24 2009 375 392
-
(2009)
Comput. Stat.
, vol.24
, pp. 375-392
-
-
Lin, T.I.1
Ho, H.J.2
Shen, P.S.3
-
34
-
-
33644976711
-
On fast supervised learning for normal mixture models with missing information
-
T.I. Lin, J.C. Lee, and H.J. Ho On fast supervised learning for normal mixture models with missing information Pattern Recognit. 39 2006 1177 1187
-
(2006)
Pattern Recognit.
, vol.39
, pp. 1177-1187
-
-
Lin, T.I.1
Lee, J.C.2
Ho, H.J.3
-
35
-
-
3943111574
-
Bayesian analysis of mixture modelling using the multivariate t distribution
-
DOI 10.1023/B:STCO.0000021410.33077.10
-
T.I. Lin, J.C. Lee, and H.F. Ni Bayesian analysis of mixture modelling using the multivariate t distribution Stat. Comput. 14 2004 119 130 (Pubitemid 39051295)
-
(2004)
Statistics and Computing
, vol.14
, Issue.2
, pp. 119-130
-
-
Lin, T.I.1
Lee, J.C.2
Ni, H.F.3
-
37
-
-
0000315742
-
The ECME algorithm: A simple extension of em and ECM with faster monotone convergence
-
C.H. Liu, and D.B. Rubin The ECME algorithm: a simple extension of EM and ECM with faster monotone convergence Biometrika 81 1994 633 648
-
(1994)
Biometrika
, vol.81
, pp. 633-648
-
-
Liu, C.H.1
Rubin, D.B.2
-
38
-
-
0001508169
-
Parameter expansion to accelerate EM: The PX-EM algorithm
-
C.H. Liu, D.B. Rubin, and Y.N. Wu Parameter expansion to accelerate EM: the PX-EM algorithm Biometrika 85 1998 755 770
-
(1998)
Biometrika
, vol.85
, pp. 755-770
-
-
Liu, C.H.1
Rubin, D.B.2
Wu, Y.N.3
-
41
-
-
84947788012
-
Robust Cluster Analysis via Mixtures of Multivariate t-Distributions
-
Advances in Pattern Recognition
-
G.J. McLachlan, and D. Peel Robust cluster analysis via mixtures of multivariate t-distributions Lecture Notes in Computer Science vol. 1451 1998 Springer Berlin 658 666 (Pubitemid 128117168)
-
(1998)
Lecture Notes in Computer Science
, Issue.1451
, pp. 658-666
-
-
McLachlan, G.J.1
Peel, D.2
-
43
-
-
74149093702
-
Model-based classification using latent Gaussian mixture models
-
P.D. McNicholas Model-based classification using latent Gaussian mixture models J. Statist. Plann. Inference 140 2010 1175 1181
-
(2010)
J. Statist. Plann. Inference
, vol.140
, pp. 1175-1181
-
-
McNicholas, P.D.1
-
44
-
-
70549109507
-
Serial and parallel implementations of model-based clustering via parsimonious Gaussian mixture models
-
P.D. McNicholas, T.B. Murphy, A.F. McDaid, and D. Frost Serial and parallel implementations of model-based clustering via parsimonious Gaussian mixture models Comput. Statist. Data Anal. 54 2010 711 723
-
(2010)
Comput. Statist. Data Anal.
, vol.54
, pp. 711-723
-
-
McNicholas, P.D.1
Murphy, T.B.2
McDaid, A.F.3
Frost, D.4
-
45
-
-
0000251971
-
Maximum likelihood estimation via the ECM algorithm: A general framework
-
X.L. Meng, and D.B. Rubin Maximum likelihood estimation via the ECM algorithm: a general framework Biometrika 80 1993 267 278
-
(1993)
Biometrika
, vol.80
, pp. 267-278
-
-
Meng, X.L.1
Rubin, D.B.2
-
47
-
-
0041407143
-
Robust mixture modeling using the t distribution
-
D. Peel, and G.J. McLachlan Robust mixture modeling using the t distribution Stat. Comput. 10 2000 339 348
-
(2000)
Stat. Comput.
, vol.10
, pp. 339-348
-
-
Peel, D.1
McLachlan, G.J.2
-
48
-
-
66649115648
-
Automated high-dimensional flow cytometric data analysis
-
S. Pyne, X. Hu, K. Wang, E. Rossin, T.I. Lin, L.M. Maier, C. Baecher-Allan, G.J. McLachlan, P. Tamayo, D.A. Hafler, P.L. De Jager, and J.P. Mesirov Automated high-dimensional flow cytometric data analysis Proc. Natl. Acad. Sci. USA 106 2009 8519 8524
-
(2009)
Proc. Natl. Acad. Sci. USA
, vol.106
, pp. 8519-8524
-
-
Pyne, S.1
Hu, X.2
Wang, K.3
Rossin, E.4
Lin, T.I.5
Maier, L.M.6
Baecher-Allan, C.7
McLachlan, G.J.8
Tamayo, P.9
Hafler, D.A.10
De Jager, P.L.11
Mesirov, J.P.12
-
50
-
-
0021404166
-
Mixture densities, maximum likelihood and the em algorithm
-
R.A. Redner, and H.F. Walker Mixture densities, maximum likelihood and the EM algorithm SIAM Rev. 26 1984 195 239
-
(1984)
SIAM Rev.
, vol.26
, pp. 195-239
-
-
Redner, R.A.1
Walker, H.F.2
-
51
-
-
0017133178
-
Inference and missing data
-
D.B. Rubin Inference and missing data Biometrika 63 1976 581 592
-
(1976)
Biometrika
, vol.63
, pp. 581-592
-
-
Rubin, D.B.1
-
54
-
-
0000120766
-
Estimating the dimension of a model
-
G. Schwarz Estimating the dimension of a model Ann. Statist. 6 1978 461 464
-
(1978)
Ann. Statist.
, vol.6
, pp. 461-464
-
-
Schwarz, G.1
-
55
-
-
0036568162
-
Robust clustering by deterministic agglomeration EM of mixtures of multivariate t-distributions
-
DOI 10.1016/S0031-3203(01)00080-2, PII S0031320301000802, Handwriting processing and applicaions
-
S. Shoham Robust clustering by deterministic agglomeration EM of mixtures of multivariate t-distributions Pattern Recognit. 35 2002 1127 1142 (Pubitemid 34188968)
-
(2002)
Pattern Recognition
, vol.35
, Issue.5
, pp. 1127-1142
-
-
Shoham, S.1
-
56
-
-
84950758368
-
The calculation of posterior distributions by data augmentation (with discussion)
-
M.A. Tanner, and W.H. Wong The calculation of posterior distributions by data augmentation (with discussion) J. Amer. Statist. Assoc. 82 1987 528 550
-
(1987)
J. Amer. Statist. Assoc.
, vol.82
, pp. 528-550
-
-
Tanner, M.A.1
Wong, W.H.2
-
58
-
-
70450240936
-
On em estimation for mixture of multivariate t-distributions
-
H.X. Wang, and Z. Hu On EM estimation for mixture of multivariate t-distributions Neural Process. Lett. 30 2009 243 256
-
(2009)
Neural Process. Lett.
, vol.30
, pp. 243-256
-
-
Wang, H.X.1
Hu, Z.2
-
59
-
-
1842714898
-
Robust mixture modelling using multivariate t-distribution with missing information
-
DOI 10.1016/j.patrec.2004.01.010, PII S0167865504000236
-
H.X. Wang, Q.B. Zhang, B. Luo, and S. Wei Robust mixture modelling using multivariate t distribution with missing information Pattern Recognit. Lett. 25 2004 701 710 (Pubitemid 38473630)
-
(2004)
Pattern Recognition Letters
, vol.25
, Issue.6
, pp. 701-710
-
-
Wang, H.X.1
Zhang, Q.B.2
Luo, B.3
Wei, S.4
|