-
1
-
-
19744373319
-
The skew-normal distribution and related multivariate families (with discussion)
-
Azzalini, A.: The skew-normal distribution and related multivariate families (with discussion). Scand. J. Stat. 32, 159-188 (2005).
-
(2005)
Scand. J. Stat.
, vol.32
, pp. 159-188
-
-
Azzalini, A.1
-
2
-
-
0037900005
-
Distributions generated by perturbation of symmetry with emphasis on a multivariate skew t-distribution
-
Azzalini, A., Capitaino, A.: Distributions generated by perturbation of symmetry with emphasis on a multivariate skew t-distribution. J. R. Stat. Soc. B 65, 367-389 (2003).
-
(2003)
J. R. Stat. Soc. B
, vol.65
, pp. 367-389
-
-
Azzalini, A.1
Capitaino, A.2
-
3
-
-
0031524138
-
Normal inverse Gaussian distributions and stochastic volatility modelling
-
Barndorff-Nielsen, O. E.: Normal inverse Gaussian distributions and stochastic volatility modelling. Scand. J. Stat. 24, 1-13 (1997).
-
(1997)
Scand. J. Stat.
, vol.24
, pp. 1-13
-
-
Barndorff-Nielsen, O.E.1
-
4
-
-
0031537815
-
Standard errors of fitted means under normal mixture
-
Basford, K. E., Greenway, D. R., McLachlan, G. J., Peel, D.: Standard errors of fitted means under normal mixture. Comput. Stat. 12, 1-17 (1997).
-
(1997)
Comput. Stat.
, vol.12
, pp. 1-17
-
-
Basford, K.E.1
Greenway, D.R.2
McLachlan, G.J.3
Peel, D.4
-
6
-
-
47849116171
-
Bayesian density estimation using skew student-t-normal mixtures
-
Cabral, C. R. B., Bolfarine, H., Pereira, J. R. G.: Bayesian density estimation using skew student-t-normal mixtures. Comput. Stat. Data Anal. 52, 5075-5090 (2008).
-
(2008)
Comput. Stat. Data Anal.
, vol.52
, pp. 5075-5090
-
-
Cabral, C.R.B.1
Bolfarine, H.2
Pereira, J.R.G.3
-
7
-
-
0002629270
-
Maximum likelihood from incomplete data via the EM algorithm (with discussion)
-
Dempster, A. P., Laird, N. M., Rubin, D. B.: Maximum likelihood from incomplete data via the EM algorithm (with discussion). J. R. Stat. Soc. B 39, 1-38 (1977).
-
(1977)
J. R. Stat. Soc. B
, vol.39
, pp. 1-38
-
-
Dempster, A.P.1
Laird, N.M.2
Rubin, D.B.3
-
8
-
-
0032269108
-
How many clusters? Which clustering method? Answers via model-based cluster analysis
-
Fraley, C., Raftery, A. E.: How many clusters? Which clustering method? Answers via model-based cluster analysis. Comput. J. 41, 578-588 (1998).
-
(1998)
Comput. J.
, vol.41
, pp. 578-588
-
-
Fraley, C.1
Raftery, A.E.2
-
9
-
-
0035998835
-
Model-based clustering, discriminant analysis, and density estimation
-
Fraley, C., Raftery, A. E.: Model-based clustering, discriminant analysis, and density estimation. J. Am. Stat. Assoc. 97, 611-612 (2002).
-
(2002)
J. Am. Stat. Assoc.
, vol.97
, pp. 611-612
-
-
Fraley, C.1
Raftery, A.E.2
-
11
-
-
77749242735
-
Bayesian inference for finite mixtures of univariate and multivariate skew normal and skew-t distributions
-
Frühwirth-Schnatter, S., Pyne, S.: Bayesian inference for finite mixtures of univariate and multivariate skew normal and skew-t distributions. Biostatistics 11, 317-336 (2010).
-
(2010)
Biostatistics
, vol.11
, pp. 317-336
-
-
Frühwirth-Schnatter, S.1
Pyne, S.2
-
12
-
-
81955162551
-
-
Stowers Institute for Medical Research. Online available at
-
Glynn, E. F.: FCSExtract Utility. Stowers Institute for Medical Research. Online available at: http://research.stowers-institute.org/efg/ScientificSoftware/Utility/FCSExtract/ (2006).
-
(2006)
FCSExtract Utility
-
-
Glynn, E.F.1
-
13
-
-
34249333805
-
Skew-symmetric distributions generated by the distribution function of the normal distribution
-
Gómez, H. W., Venegas, O., Bolfarine, H.: Skew-symmetric distributions generated by the distribution function of the normal distribution. Environmetrics 18, 395-407 (2007).
-
(2007)
Environmetrics
, vol.18
, pp. 395-407
-
-
Gómez, H.W.1
Venegas, O.2
Bolfarine, H.3
-
14
-
-
65949097067
-
flowCore: a Bioconductor package for high throughput flow cytometry
-
Hahne, F., LeMeur, N., Brinkman, R. R., Ellis, B., Haaland, P., Sarkar, D., Spidlen, J., Strain, E., Gentleman, R.: flowCore: a Bioconductor package for high throughput flow cytometry. BMC Bioinform. 10, 106 (2009).
-
(2009)
BMC Bioinform.
, vol.10
, pp. 106
-
-
Hahne, F.1
Lemeur, N.2
Brinkman, R.R.3
Ellis, B.4
Haaland, P.5
Sarkar, D.6
Spidlen, J.7
Strain, E.8
Gentleman, R.9
-
15
-
-
58149522265
-
Model-based clustering with non-elliptically contoured distributions
-
Karlis, D., Santourian, A.: Model-based clustering with non-elliptically contoured distributions. Stat. Comput. 19, 73-83 (2009).
-
(2009)
Stat. Comput.
, vol.19
, pp. 73-83
-
-
Karlis, D.1
Santourian, A.2
-
16
-
-
0002954754
-
Consistent estimation of the order of mixture models
-
Keribin, C.: Consistent estimation of the order of mixture models. Sankhyā 62, 49-66 (2000).
-
(2000)
Sankhyā
, vol.62
, pp. 49-66
-
-
Keribin, C.1
-
18
-
-
56349112368
-
Maximum likelihood estimation for multivariate skew normal mixture models
-
Lin, T. I.: Maximum likelihood estimation for multivariate skew normal mixture models. J. Multivar. Anal. 100, 257-265 (2009).
-
(2009)
J. Multivar. Anal.
, vol.100
, pp. 257-265
-
-
Lin, T.I.1
-
19
-
-
77749280346
-
Robust mixture modeling using multivariate skew t distributions
-
Lin, T. I.: Robust mixture modeling using multivariate skew t distributions. Stat. Comput. 20, 343-356 (2010).
-
(2010)
Stat. Comput.
, vol.20
, pp. 343-356
-
-
Lin, T.I.1
-
20
-
-
34249737344
-
Robust mixture modeling using the skew t distribution
-
Lin, T. I., Lee, J. C., Hsieh, W. J.: Robust mixture modeling using the skew t distribution. Stat. Comput. 17, 81-92 (2007a).
-
(2007)
Stat. Comput.
, vol.17
, pp. 81-92
-
-
Lin, T.I.1
Lee, J.C.2
Hsieh, W.J.3
-
21
-
-
34249710125
-
Finite mixture modelling using the skew normal distribution
-
Lin, T. I., Lee, J. C., Yen, S. Y.: Finite mixture modelling using the skew normal distribution. Stat. Sin. 17, 909-927 (2007b).
-
(2007)
Stat. Sin.
, vol.17
, pp. 909-927
-
-
Lin, T.I.1
Lee, J.C.2
Yen, S.Y.3
-
22
-
-
0000315742
-
The ECME algorithm: a simple extension of EM and ECM with faster monotone convergence
-
Liu, C. H., Rubin, D. B.: The ECME algorithm: a simple extension of EM and ECM with faster monotone convergence. Biometrika 81, 633-648 (1994).
-
(1994)
Biometrika
, vol.81
, pp. 633-648
-
-
Liu, C.H.1
Rubin, D.B.2
-
23
-
-
0001044972
-
Finding the observed information matrix when using the EM algorithm
-
Louis, T. A.: Finding the observed information matrix when using the EM algorithm. J. R. Stat. Soc. B 44, 226-233 (1982).
-
(1982)
J. R. Stat. Soc. B
, vol.44
, pp. 226-233
-
-
Louis, T.A.1
-
27
-
-
45449088666
-
Parsimonious Gaussian mixture models
-
McNicholas, P. D., Murphy, T. B.: Parsimonious Gaussian mixture models. Stat. Comput. 18, 285-296 (2008).
-
(2008)
Stat. Comput.
, vol.18
, pp. 285-296
-
-
McNicholas, P.D.1
Murphy, T.B.2
-
28
-
-
34248355880
-
P-value based visualization of codon usage data
-
Meinicke, P., Brodag, T., Fricke, W. F., Waack, S.: P-value based visualization of codon usage data. Algorithms Mol. Biol. 1, 10 (2006).
-
(2006)
Algorithms Mol. Biol.
, vol.1
, pp. 10
-
-
Meinicke, P.1
Brodag, T.2
Fricke, W.F.3
Waack, S.4
-
29
-
-
0000251971
-
Maximum likelihood estimation via the ECM algorithm: a general framework
-
Meng, X. L., Rubin, D. B.: Maximum likelihood estimation via the ECM algorithm: a general framework. Biometrika 80, 267-278 (1993).
-
(1993)
Biometrika
, vol.80
, pp. 267-278
-
-
Meng, X.L.1
Rubin, D.B.2
-
30
-
-
1642462316
-
Skewed distributions generated by the normal kernel
-
Nadarajah, S., Kotz, S.: Skewed distributions generated by the normal kernel. Stat. Probab. Lett. 65, 269-277 (2003).
-
(2003)
Stat. Probab. Lett.
, vol.65
, pp. 269-277
-
-
Nadarajah, S.1
Kotz, S.2
-
31
-
-
66649115648
-
Automated high-dimensional flow cytometric data analysis
-
Pyne, S., Hu, X., Wang, K., Rossin, E., Lin, T. I., Maier, L., Baecher-Allan, C., McLachlan, G. J., Tamayo, P., Hafler, D. A., De Jager, P. L., Mesirov, J. P.: Automated high-dimensional flow cytometric data analysis. Proc. Natl. Acad. Sci. USA 106, 8519-8524 (2009).
-
(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.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
-
32
-
-
5344244656
-
-
R Development Core Team, Vienna: R Foundation for Statistical Computing
-
R Development Core Team: R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna (2008).
-
(2008)
R: A Language and Environment for Statistical Computing
-
-
-
33
-
-
0242595939
-
A new class of multivariate skew distributions with application to Bayesian regression models
-
Sahu, S. K., Dey, D. K., Branco, M. D.: A new class of multivariate skew distributions with application to Bayesian regression models. Can. J. Stat. 31, 129-150 (2003).
-
(2003)
Can. J. Stat.
, vol.31
, pp. 129-150
-
-
Sahu, S.K.1
Dey, D.K.2
Branco, M.D.3
-
34
-
-
0000120766
-
Estimating the dimension of a model
-
Schwarz, G.: Estimating the dimension of a model. Ann. Stat. 6, 461-464 (1978).
-
(1978)
Ann. Stat.
, vol.6
, pp. 461-464
-
-
Schwarz, G.1
-
36
-
-
0036469527
-
A greedy EM algorithm for Gaussian mixture learning
-
Vlassis, N., Likas, A.: A greedy EM algorithm for Gaussian mixture learning. Neural Process. Lett. 15, 77-87 (2002).
-
(2002)
Neural Process. Lett.
, vol.15
, pp. 77-87
-
-
Vlassis, N.1
Likas, A.2
-
37
-
-
77950321764
-
Multivariate skew t mixture models: applications to fluorescence-activated cell sorting data
-
Conference of Digital Image Computing: Techniques and ApplicationsMelbourne, Los Alamitos: IEEE Computer Society
-
Wang, K., Ng, S. K., McLachlan, G. J.: Multivariate skew t mixture models: applications to fluorescence-activated cell sorting data. In: Proceedings of DICTA 2009, Conference of Digital Image Computing: Techniques and Applications, Melbourne, pp. 526-531. IEEE Computer Society, Los Alamitos (2009).
-
(2009)
Proceedings of DICTA 2009
, pp. 526-531
-
-
Wang, K.1
Ng, S.K.2
McLachlan, G.J.3
|