-
1
-
-
41849146187
-
-
H. Akaike, Information Theory and an Extension of Maximum Likelihood Principle, in: Selected Papers of Hirotugu Akaike, in Proceedings of the Second International Symposium on Information Theory, B.N. Petrov and F. caski, eds, Akademiai Kiado, Budapest, 1973, pp. 267-281, K.T. Emanuel Parzen and Genshiro Kitagawa, eds, Springer-Verlag New York, Inc, Texas, 1973, p. 434.
-
H. Akaike, Information Theory and an Extension of Maximum Likelihood Principle, in: Selected Papers of Hirotugu Akaike, in Proceedings of the Second International Symposium on Information Theory, B.N. Petrov and F. caski, eds, Akademiai Kiado, Budapest, 1973, pp. 267-281, K.T. Emanuel Parzen and Genshiro Kitagawa, eds, Springer-Verlag New York, Inc, Texas, 1973, p. 434.
-
-
-
-
2
-
-
85041932998
-
Maximum likelihood identification of Gaussian autorregressive moving average models
-
H. Akaike, Maximum likelihood identification of Gaussian autorregressive moving average models, Biometrika 60 (1973), 255-265.
-
(1973)
Biometrika
, vol.60
, pp. 255-265
-
-
Akaike, H.1
-
3
-
-
0011611162
-
A comparison of segment retention for finite Mixture Logit Models
-
R.L. Andrews and I.S. Currim, A comparison of segment retention for finite Mixture Logit Models, Journal of Marketing Research XI (2003a), 235-243.
-
(2003)
Journal of Marketing Research
, vol.11
, pp. 235-243
-
-
Andrews, R.L.1
Currim, I.S.2
-
4
-
-
0035245028
-
Nonparametric Genetic Clustering: Comparison of Validity Indices
-
S. Bandyopadhyay and U. Maulik, Nonparametric Genetic Clustering: Comparison of Validity Indices, IEEE Transactions on Systems, Man, and Cybernetics-Part C: Applications and Reviews 31 (2001), 120-125.
-
(2001)
IEEE Transactions on Systems, Man, and Cybernetics-Part C: Applications and Reviews
, vol.31
, pp. 120-125
-
-
Bandyopadhyay, S.1
Maulik, U.2
-
5
-
-
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.
-
(1993)
Biometrics
, vol.49
, pp. 803-821
-
-
Banfield, J.D.1
Raftery, A.E.2
-
6
-
-
0037899007
-
Model-based Clustering with Noise: Bayesian Inference and Estimation
-
H. Bensmail and J.J. Meulman, Model-based Clustering with Noise: Bayesian Inference and Estimation, Journal of Classification 20 (2003), 49-76.
-
(2003)
Journal of Classification
, vol.20
, pp. 49-76
-
-
Bensmail, H.1
Meulman, J.J.2
-
7
-
-
0001684051
-
A geometric approach to cluster validity for normal mixtures
-
J.C. Bezdek, W.Q. Li, Y. Attikiouzel and M. Windham, A geometric approach to cluster validity for normal mixtures, Soft Computing 1 (1997), 166-179.
-
(1997)
Soft Computing
, vol.1
, pp. 166-179
-
-
Bezdek, J.C.1
Li, W.Q.2
Attikiouzel, Y.3
Windham, M.4
-
8
-
-
1842832753
-
A latent class segmentation analysis of e-shoppers
-
A. Bhatnagar and S. Ghose, A latent class segmentation analysis of e-shoppers, Journal of Business Research 57 (2004), 758-767.
-
(2004)
Journal of Business Research
, vol.57
, pp. 758-767
-
-
Bhatnagar, A.1
Ghose, S.2
-
11
-
-
0037469122
-
Choosing starting values for the EM algorithm for getting the highest likelihood in multivariate Gaussian mixture models
-
C. Biernacki, G. Celeux and G. Govaert, Choosing starting values for the EM algorithm for getting the highest likelihood in multivariate Gaussian mixture models, Computational Statistics & Data Analysis 41 (2003), 561-575.
-
(2003)
Computational Statistics & Data Analysis
, vol.41
, pp. 561-575
-
-
Biernacki, C.1
Celeux, G.2
Govaert, G.3
-
12
-
-
0033105385
-
An improvement of the NEC criterion for assessing the number of clusters in mixture model
-
C. Biernacki, G. Celeux and G. Govaert, An improvement of the NEC criterion for assessing the number of clusters in mixture model, Pattern Recognition Letters 20 (1999), 267-272.
-
(1999)
Pattern Recognition Letters
, vol.20
, pp. 267-272
-
-
Biernacki, C.1
Celeux, G.2
Govaert, G.3
-
13
-
-
0000308948
-
Using the classification likelihood to choose the number of clusters
-
C Biernacki and G. Govaert, Using the classification likelihood to choose the number of clusters, Computing Science and Statistics 29 (1997), 451-457.
-
(1997)
Computing Science and Statistics
, vol.29
, pp. 451-457
-
-
Biernacki, C.1
Govaert, G.2
-
14
-
-
78651525060
-
Order Estimation and Model Selection
-
O.C.a.T. Rydden, ed
-
S. Boucheron and E. Gassiat, Order Estimation and Model Selection, in: Inference in Hidden markov Models, O.C.a.T. Rydden, ed., 2002, p. 25.
-
(2002)
Inference in Hidden markov Models
, pp. 25
-
-
Boucheron, S.1
Gassiat, E.2
-
15
-
-
0002259289
-
A New Model Selection criterion
-
ICOMP:, Hans H. Bock ed, North-Holland, Amesterdam
-
H. Bozdogan, ICOMP: A New Model Selection criterion, in: Classification and Related Methods of Data Analysis, Hans H. Bock (ed.), North-Holland, Amesterdam, 1988, pp. 599-608.
-
(1988)
Classification and Related Methods of Data Analysis
, pp. 599-608
-
-
Bozdogan, H.1
-
16
-
-
0002728524
-
Mixture-Model Cluster Analysis using Model Selection criteria and a new Informational Measure of Complexity
-
H. Bozdogan, ed, Kluwer Academic Publishers
-
H. Bozdogan, Mixture-Model Cluster Analysis using Model Selection criteria and a new Informational Measure of Complexity, in: Proceedings of the First US/Japan Conference on the Frontiers of Statistical Modeling: An Approach, 69-113, H. Bozdogan, ed., Kluwer Academic Publishers, 1994, pp. 69-113.
-
(1994)
Proceedings of the First US/Japan Conference on the Frontiers of Statistical Modeling: An Approach, 69-113
, pp. 69-113
-
-
Bozdogan, H.1
-
17
-
-
34250108028
-
Model Selection and Akaikes's Information Criterion (AIC): The General Theory and its Analytical Extensions
-
H. Bozdogan, Model Selection and Akaikes's Information Criterion (AIC): The General Theory and its Analytical Extensions, Psycometrika 52 (1987), 345-370.
-
(1987)
Psycometrika
, vol.52
, pp. 345-370
-
-
Bozdogan, H.1
-
18
-
-
0037409188
-
Information complexity criteria for detecting influential observations in dynamic multivariate linear models using the genetic algorithm
-
H. Bozdogan and P. Bearse, Information complexity criteria for detecting influential observations in dynamic multivariate linear models using the genetic algorithm, Journal of Statistical Planning and Inference 114 (2003), 31-44.
-
(2003)
Journal of Statistical Planning and Inference
, vol.114
, pp. 31-44
-
-
Bozdogan, H.1
Bearse, P.2
-
19
-
-
8744307994
-
Multimodel Inference. Understanding AIC and BIC in Model Selection
-
K.P. Burnham and D.R. Anderson, Multimodel Inference. Understanding AIC and BIC in Model Selection, Sociological Methods & Research 33 (2004), 261-304.
-
(2004)
Sociological Methods & Research
, vol.33
, pp. 261-304
-
-
Burnham, K.P.1
Anderson, D.R.2
-
20
-
-
0030351528
-
An entropy criterion for acessing the number of clusters in a mixture model
-
G. Celeux and G. Soromenho, An entropy criterion for acessing the number of clusters in a mixture model, Journal of Classification 13(1996), 195-212.
-
(1996)
Journal of Classification
, vol.13
, pp. 195-212
-
-
Celeux, G.1
Soromenho, G.2
-
21
-
-
0000515129
-
Information-Based Validity Functionals for Mixture Analysis
-
H. Bozdogan, ed, Kluwer Academic Publishers
-
A. Cutler and M.P. Windham, Information-Based Validity Functionals for Mixture Analysis, in: First US/Japan Conference on the Frontiers of Statistical Modeling: An Informational Approach, H. Bozdogan, ed., Kluwer Academic Publishers, 1994.
-
(1994)
First US/Japan Conference on the Frontiers of Statistical Modeling: An Informational Approach
-
-
Cutler, A.1
Windham, M.P.2
-
22
-
-
0001381164
-
Estimating the Components of a mixture of normal Distributions
-
N.E. Day, 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
-
23
-
-
0002629270
-
Maximum Likelihood from ioncomplete Data via EM algorithm
-
A.P. Dempster, N.M. Laird and D.B. Rubin, Maximum Likelihood from ioncomplete Data via EM algorithm. Journal of the Royal Statistics Society, B 39 (1977), 1-38.
-
(1977)
Journal of the Royal Statistics Society, B
, vol.39
, pp. 1-38
-
-
Dempster, A.P.1
Laird, N.M.2
Rubin, D.B.3
-
24
-
-
33744807766
-
Finite Mixture Models; Review, Applications, and Computer-intensive Methods
-
Groningen University, PhD Thesis, Groningen, 199
-
J.G. Dias, Finite Mixture Models; Review, Applications, and Computer-intensive Methods, Econimics, Groningen University, PhD Thesis, Groningen, 2004, 199.
-
(2004)
Econimics
-
-
Dias, J.G.1
-
25
-
-
0001739222
-
Latent structure and other mixture models in marketing: An integrative survey and overview
-
chapter 9, R.P. Bagozi, ed, Cambridge: blackwell Publishers
-
W.R. Dillon and A. Kumar, Latent structure and other mixture models in marketing: An integrative survey and overview, chapter 9, in: Advanced methods of Marketing Research, R.P. Bagozi, ed., Cambridge: blackwell Publishers, 1994, pp. 352-388.
-
(1994)
Advanced methods of Marketing Research
, pp. 352-388
-
-
Dillon, W.R.1
Kumar, A.2
-
26
-
-
3543054548
-
Evaluation and optimization of clustering in gene expression data analysis
-
A.F. Famili, G. Liu and Z. Liu, Evaluation and optimization of clustering in gene expression data analysis, Bioinfonnatics 20 (2004), 1535-1545.
-
(2004)
Bioinfonnatics
, vol.20
, pp. 1535-1545
-
-
Famili, A.F.1
Liu, G.2
Liu, Z.3
-
28
-
-
33744782583
-
-
R.S. Fonseca, Jaime and G.M.S. Cardoso, Margarida, Retail Clients Latent Segments. Proceedings of the 12th Portuguese Conference on Artificial Intelligence, EPIA 2005, December 5-8, in: Progress in Artificial Intelligence, C. Bento, A. Cardoso and G. Dias, eds, Springer-Verlag, Lecture Notes in Computing Science, 3808, 2005, pp. 348-358.
-
R.S. Fonseca, Jaime and G.M.S. Cardoso, Margarida, Retail Clients Latent Segments. Proceedings of the 12th Portuguese Conference on Artificial Intelligence, EPIA 2005, December 5-8, in: Progress in Artificial Intelligence, C. Bento, A. Cardoso and G. Dias, eds, Springer-Verlag, Lecture Notes in Computing Science, Vol. 3808, 2005, pp. 348-358.
-
-
-
-
29
-
-
0037847280
-
A Comparision of Some methods for Estimating Mixed Normal Distributions
-
J.G. Fryer and C.A. Robertson, A Comparision of Some methods for Estimating Mixed Normal Distributions, Biometrika 59 (1972), 639-648.
-
(1972)
Biometrika
, vol.59
, pp. 639-648
-
-
Fryer, J.G.1
Robertson, C.A.2
-
32
-
-
0001354471
-
A Constrained Formulation of Maximum-Likelihood Estimation for Normal Mixture Distributions
-
R.J. Hataway, A Constrained Formulation of Maximum-Likelihood Estimation for Normal Mixture Distributions, The Annals of Statistics 13 (1985), 795-800.
-
(1985)
The Annals of Statistics
, vol.13
, pp. 795-800
-
-
Hataway, R.J.1
-
34
-
-
0037469115
-
Mixture model clustering for mixed data with missing information
-
L. Hunt and M. Jorgensen, Mixture model clustering for mixed data with missing information, Computational Statistics & Data Analysis 41 (2003), 429-440.
-
(2003)
Computational Statistics & Data Analysis
, vol.41
, pp. 429-440
-
-
Hunt, L.1
Jorgensen, M.2
-
35
-
-
0033235690
-
Fitting a Mixture Model to Three-Mode Trhee-Way Data with Categorical and Continuous Variables
-
L.A. Hunt and K.E. Basford, Fitting a Mixture Model to Three-Mode Trhee-Way Data with Categorical and Continuous Variables, Journal of Classification 16 (1999), 283-296.
-
(1999)
Journal of Classification
, vol.16
, pp. 283-296
-
-
Hunt, L.A.1
Basford, K.E.2
-
36
-
-
70349119250
-
regression and Time Series Model Selection in Small Samples
-
C.M. Hurvich and C.-L. Tsai, regression and Time Series Model Selection in Small Samples, Biometrika 76 (1989), 297-307.
-
(1989)
Biometrika
, vol.76
, pp. 297-307
-
-
Hurvich, C.M.1
Tsai, C.-L.2
-
38
-
-
21144471169
-
A Maximum Likelihood Method for Latent Class Regression involving a Censored dependent Variable
-
K. Jedidi, V. Ramaswamy and W.S. DeSarbo, A Maximum Likelihood Method for Latent Class Regression involving a Censored dependent Variable, Psycometrika 58 (1993), 375-394.
-
(1993)
Psycometrika
, vol.58
, pp. 375-394
-
-
Jedidi, K.1
Ramaswamy, V.2
DeSarbo, W.S.3
-
40
-
-
0031616571
-
Estimation consistante de Forde de modèes de mélange, Comptes Rendues de l'Academie des Sciences, Paris, t
-
I
-
C. Keribin, Estimation consistante de Forde de modèes de mélange, Comptes Rendues de l'Academie des Sciences, Paris, t. 326 Séie I (1998), 243-248.
-
(1998)
326 Séie
, pp. 243-248
-
-
Keribin, C.1
-
41
-
-
24344503628
-
Evolutionary model selection in unsupervised learning
-
Y. Kim, W.N. Street and F. Menezer, Evolutionary model selection in unsupervised learning, Intelligent Data Analysis 6 (2002), 531-556.
-
(2002)
Intelligent Data Analysis
, vol.6
, pp. 531-556
-
-
Kim, Y.1
Street, W.N.2
Menezer, F.3
-
42
-
-
21144475085
-
Consistent Estimation of a Mixing Distribution
-
B.G. Leroux, Consistent Estimation of a Mixing Distribution, The Annals of Statistics 20 (1992), 1350-1360.
-
(1992)
The Annals of Statistics
, vol.20
, pp. 1350-1360
-
-
Leroux, B.G.1
-
43
-
-
0026652789
-
Maximum-Penalized-Likelihood Estimation for Independent and Markov-Dependent Mixture Models
-
B.G. Leroux and M.L. Puterman, Maximum-Penalized-Likelihood Estimation for Independent and Markov-Dependent Mixture Models, Biometrics 48 (1992), 545-558.
-
(1992)
Biometrics
, vol.48
, pp. 545-558
-
-
Leroux, B.G.1
Puterman, M.L.2
-
44
-
-
0016203667
-
Multivariate Clustering Procedures with variable Metrics
-
R. Maronna and P.M. Jacovkis, Multivariate Clustering Procedures with variable Metrics, Biometrics 30 (1974), 499-505.
-
(1974)
Biometrics
, vol.30
, pp. 499-505
-
-
Maronna, R.1
Jacovkis, P.M.2
-
46
-
-
23744437299
-
On a resampling approach for tests on the number of clusters with mixture model-based clustering of tissue samples
-
G.F. McLachlan and N. Khan, On a resampling approach for tests on the number of clusters with mixture model-based clustering of tissue samples, Journal of multivariate Analysis 90 (2004), 90-105.
-
(2004)
Journal of multivariate Analysis
, vol.90
, pp. 90-105
-
-
McLachlan, G.F.1
Khan, N.2
-
48
-
-
0023570352
-
On Bootstrapping the Likelihood Ratio Test Statistic for the Number of components in a Normal Mixture
-
G.J. McLachlan, On Bootstrapping the Likelihood Ratio Test Statistic for the Number of components in a Normal Mixture, Appllied Statistics 36 (1987), 318-324.
-
(1987)
Appllied Statistics
, vol.36
, pp. 318-324
-
-
McLachlan, G.J.1
-
52
-
-
0001371071
-
A Generalized Theory of the Combination of Observations so as to Obtain the Best Result
-
S. Newcomb, A Generalized Theory of the Combination of Observations so as to Obtain the Best Result, American journal of Mathematics 8 (1886), 343-366.
-
(1886)
American journal of Mathematics
, vol.8
, pp. 343-366
-
-
Newcomb, S.1
-
54
-
-
77956982581
-
On the probability that two independent Distributions of frequency are really samples of the same population with special reference to recent work on the identity of trypanosome strains
-
K. Pearson, On the probability that two independent Distributions of frequency are really samples of the same population with special reference to recent work on the identity of trypanosome strains, Biometrika 10 (1914), 85-143.
-
(1914)
Biometrika
, vol.10
, pp. 85-143
-
-
Pearson, K.1
-
55
-
-
4444356084
-
Supervised cluster analysis for microarray data based on multivariate Gaussian mixture
-
Y. Qu and S. Xu, Supervised cluster analysis for microarray data based on multivariate Gaussian mixture, Bioinformatics 20 (2004), 1905-1913.
-
(2004)
Bioinformatics
, vol.20
, pp. 1905-1913
-
-
Qu, Y.1
Xu, S.2
-
56
-
-
0018015137
-
Modeling by shortest data description
-
J. Rissanen, Modeling by shortest data description, Automatica 14 (1978), 465-471.
-
(1978)
Automatica
, vol.14
, pp. 465-471
-
-
Rissanen, J.1
-
57
-
-
0001475895
-
A graphical Technique for Determining the Number of components in a Mixture of Normals
-
K. Roeder, A graphical Technique for Determining the Number of components in a Mixture of Normals, Journal of the American Statistical Association 89 (1994), 487-495.
-
(1994)
Journal of the American Statistical Association
, vol.89
, pp. 487-495
-
-
Roeder, K.1
-
58
-
-
0000120766
-
Estimating the Dimenson of a Model
-
G. Schwarz, Estimating the Dimenson of a Model, The Annals of Statistics 6 (1978), 461-464.
-
(1978)
The Annals of Statistics
, vol.6
, pp. 461-464
-
-
Schwarz, G.1
-
59
-
-
3543133355
-
Interactively optimizing signal-to-noise ratios in expression profiling: Project-specific algorithm selection and detection p-value weighting in Affymetrix mocroarrays
-
J. Seo, M. Bakay, Y.-W. Chen, S. Hilmer, B. Shneiderman and E.P. Hoffman, Interactively optimizing signal-to-noise ratios in expression profiling: project-specific algorithm selection and detection p-value weighting in Affymetrix mocroarrays, Bioinformatics 20 (2004), 2534-2544.
-
(2004)
Bioinformatics
, vol.20
, pp. 2534-2544
-
-
Seo, J.1
Bakay, M.2
Chen, Y.-W.3
Hilmer, S.4
Shneiderman, B.5
Hoffman, E.P.6
-
62
-
-
3042684740
-
Drug risk assessment with determining the number of sub-populations under finite mixture normal models
-
J. Tao, N.-Z. Shi and S.-Y. Lee, Drug risk assessment with determining the number of sub-populations under finite mixture normal models, Computational Statistics & Data Analysis 46 (2004), 661-676.
-
(2004)
Computational Statistics & Data Analysis
, vol.46
, pp. 661-676
-
-
Tao, J.1
Shi, N.-Z.2
Lee, S.-Y.3
-
63
-
-
0012253128
-
Latent class cluster analysis
-
J.A. Hagenaars and A.L. McCutcheon, eds, Cambridge University Press
-
J.K. Vermunt and J. Magidson, Latent class cluster analysis., in: Applied Latent Class Analysis, J.A. Hagenaars and A.L. McCutcheon, eds, Cambridge University Press, 2002, 89-106.
-
(2002)
Applied Latent Class Analysis
, pp. 89-106
-
-
Vermunt, J.K.1
Magidson, J.2
-
64
-
-
33746656457
-
Market Segmentation. Analytical Developments and Applications Guidlines
-
Millward Brown IntelliQuest
-
M. Vriens, Market Segmentation. Analytical Developments and Applications Guidlines, Technical Overview Series, Millward Brown IntelliQuest, 2001, 1-42.
-
(2001)
Technical Overview Series
, pp. 1-42
-
-
Vriens, M.1
-
65
-
-
1842714898
-
Robust mixture modelling using multivariate t-distribution with missing information
-
H.x. Wang, Q.b. Zhang, B. Luo and S. Wei, Robust mixture modelling using multivariate t-distribution with missing information, Pattern Recognition Letters 25 (2004), 701-710.
-
(2004)
Pattern Recognition Letters
, vol.25
, pp. 701-710
-
-
Wang, H.X.1
Zhang, Q.B.2
Luo, B.3
Wei, S.4
-
66
-
-
21644476820
-
Model-Based Clustering for Image Segmentation and Large Datasets via Sampling
-
R. Wehrens, L.M.C Buydens, C. Fraley and A.E. Raftery, Model-Based Clustering for Image Segmentation and Large Datasets via Sampling, Journal of Classification 21 (2004), 231-253.
-
(2004)
Journal of Classification
, vol.21
, pp. 231-253
-
-
Wehrens, R.1
Buydens, L.M.C.2
Fraley, C.3
Raftery, A.E.4
-
68
-
-
2942587071
-
Image segmentation using finite mixtures and spatial information
-
X. Yang and S.M. Krishnan, Image segmentation using finite mixtures and spatial information, Image and Vision Computing 22 (2004), 735-745.
-
(2004)
Image and Vision Computing
, vol.22
, pp. 735-745
-
-
Yang, X.1
Krishnan, S.M.2
|