-
2
-
-
0000708831
-
Mixtures of Dirichlet Processes With Applications to Bayesian Nonparametric Problems
-
Antoniak, C. (1974). "Mixtures of Dirichlet Processes With Applications to Bayesian Nonparametric Problems." The Annals of Statistics, 2: 1152-1174.
-
(1974)
The Annals of Statistics
, vol.2
, pp. 1152-1174
-
-
Antoniak, C.1
-
4
-
-
0034727833
-
Genomic aberrations and survival in chronic lymphocytic leukemia
-
Döhner, H., Stilgenbauer, S., Benner, A., Leupolt, E., Kröber, A., Bullinger, L., Dohner, K., Bentz, M., and Lichter, P. (2000). "Genomic aberrations and survival in chronic lymphocytic leukemia." New England Journal of Medicine, 343(26): 1910-1916.
-
(2000)
New England Journal of Medicine
, vol.343
, Issue.26
, pp. 1910-1916
-
-
Döhner, H.1
Stilgenbauer, S.2
Benner, A.3
Leupolt, E.4
Kröber, A.5
Bullinger, L.6
Dohner, K.7
Bentz, M.8
Lichter, P.9
-
6
-
-
21344479762
-
Estimating normal means with a Dirichlet process prior
-
Escobar, M. (1994). "Estimating normal means with a Dirichlet process prior." Journal of the American Statistical Association, 89(425): 268-277.
-
(1994)
Journal of the American Statistical Association
, vol.89
, Issue.425
, pp. 268-277
-
-
Escobar, M.1
-
7
-
-
84950937290
-
Bayesian Density Estimation and Inference Using Mixtures
-
Escobar, M. and West, M. (1995). "Bayesian Density Estimation and Inference Using Mixtures." Journal of the American Statistical Association, 90(430): 577-88.
-
(1995)
Journal of the American Statistical Association
, vol.90
, Issue.430
, pp. 577-588
-
-
Escobar, M.1
West, M.2
-
8
-
-
0001120413
-
A Bayesian Analysis of Some Nonparametric Problems
-
Ferguson, T. (1973). "A Bayesian Analysis of Some Nonparametric Problems." The Annals of Statistics, 1(2): 209-230.
-
(1973)
The Annals of Statistics
, vol.1
, Issue.2
, pp. 209-230
-
-
Ferguson, T.1
-
9
-
-
0000764772
-
The use of multiple measurements in taxonomic problems
-
Fisher, R. (1936). "The use of multiple measurements in taxonomic problems." Annals of Eugenics, 7: 179-188.
-
(1936)
Annals of Eugenics
, vol.7
, pp. 179-188
-
-
Fisher, R.1
-
10
-
-
0035998835
-
Model-based clustering, discriminant analysis, and density estimation
-
Fraley, C. and Raftery, A. (2002). "Model-based clustering, discriminant analysis, and density estimation." Journal of the American Statistical Association, 97(458): 611-631.
-
(2002)
Journal of the American Statistical Association
, vol.97
, Issue.458
, pp. 611-631
-
-
Fraley, C.1
Raftery, A.2
-
11
-
-
8644255832
-
Clustering objects on subsets of attributes (with Discussion), Journal of the Royal Statistical Society
-
Friedman, J. and Meulman, J. (2004). "Clustering objects on subsets of attributes (with Discussion)." Journal of the Royal Statistical Society, Series B, 66: 815-849.
-
(2004)
Series B
, vol.66
, pp. 815-849
-
-
Friedman, J.1
Meulman, J.2
-
13
-
-
0035531242
-
Modelling Heterogeneity With and Without the Dirichlet Process
-
Green, P. and Richardson, S. (2001). "Modelling Heterogeneity With and Without the Dirichlet Process." Scandinavian Journal of Statistics, 28(2): 355-375.
-
(2001)
Scandinavian Journal of Statistics
, vol.28
, Issue.2
, pp. 355-375
-
-
Green, P.1
Richardson, S.2
-
14
-
-
0003684449
-
-
(Second Edition). Springer
-
Hastie, T., Tibshirani, R., and Friedman, J. (2009). The Elements of Statistical Learning: Data Mining, Inference, and Prediction (Second Edition). Springer.
-
(2009)
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
-
-
Hastie, T.1
Tibshirani, R.2
Friedman, J.3
-
15
-
-
33645992615
-
Model-based subspace clustering
-
Hoff, P. (2006). "Model-based subspace clustering." Bayesian Analysis, 1(2): 321-344.
-
(2006)
Bayesian Analysis
, vol.1
, Issue.2
, pp. 321-344
-
-
Hoff, P.1
-
17
-
-
1842486852
-
A split-merge Markov chain Monte Carlo procedure for the Dirichlet process mixture model
-
Jain, S. and Neal, R. (2000). "A split-merge Markov chain Monte Carlo procedure for the Dirichlet process mixture model." Journal of Computational and Graphical Statistics, 13: 158-82.
-
(2000)
Journal of Computational and Graphical Statistics
, vol.13
, pp. 158-182
-
-
Jain, S.1
Neal, R.2
-
18
-
-
22544479764
-
Markov chain Monte Carlo methods and the label switching problem in Bayesian mixture modeling
-
Jasra, A., Holmes, C., and Stephens, D. (2005). "Markov chain Monte Carlo methods and the label switching problem in Bayesian mixture modeling." Statistical Science, 20(1): 50-67.
-
(2005)
Statistical Science
, vol.20
, Issue.1
, pp. 50-67
-
-
Jasra, A.1
Holmes, C.2
Stephens, D.3
-
19
-
-
78650307472
-
Slice sampling mixture models
-
Kalli, M., Griffin, J., and Walker, S. (2011). "Slice sampling mixture models." Statistics and Computing, 1: 93-105.
-
(2011)
Statistics and Computing
, vol.1
, pp. 93-105
-
-
Kalli, M.1
Griffin, J.2
Walker, S.3
-
20
-
-
33845734547
-
Variable selection in clustering via Dirichlet process mixture models
-
Kim, S., Tadesse, M., and Vannucci, M. (2006). "Variable selection in clustering via Dirichlet process mixture models." Biometrika, 93(4): 877-893.
-
(2006)
Biometrika
, vol.93
, Issue.4
, pp. 877-893
-
-
Kim, S.1
Tadesse, M.2
Vannucci, M.3
-
21
-
-
79958758437
-
A genome-wide array-based sequential analysis quantifies the proportion of sub-clones carrying genomic changes in B-cell chronic lymphocytic leukaemia and reveals the complexity of clonal dynamics
-
Knight, S. J. L., Yau, C., Timbs, A., Sadighi-Akha, E., Dreau, H., Burns, A., Oscier, D., Pettitt, A., Holmes, C., Taylor, J., Cazier, J.-B., and Schuh, A. (2011). "A genome-wide array-based sequential analysis quantifies the proportion of sub-clones carrying genomic changes in B-cell chronic lymphocytic leukaemia and reveals the complexity of clonal dynamics." Submitted to Leukemia.
-
(2011)
Submitted to Leukemia
-
-
Knight, S.J.L.1
Yau, C.2
Timbs, A.3
Sadighi-Akha, E.4
Dreau, H.5
Burns, A.6
Oscier, D.7
Pettitt, A.8
Holmes, C.9
Taylor, J.10
Cazier, J.-B.11
Schuh, A.12
-
22
-
-
4344602134
-
Simultaneous feature selection and clustering using mixture models
-
Law, M., Figueiredo, M., and Jain, A. (2004). "Simultaneous feature selection and clustering using mixture models." IEEE Transaction on Pattern Analysis and Machine Intelligence, 26(9): 1154-1166.
-
(2004)
IEEE Transaction on Pattern Analysis and Machine Intelligence
, vol.26
, Issue.9
, pp. 1154-1166
-
-
Law, M.1
Figueiredo, M.2
Jain, A.3
-
24
-
-
0001441372
-
Probable networks and plausible predictions-a review of practical Bayesian methods for supervised neural networks
-
MacKay, D. (1995). "Probable networks and plausible predictions-a review of practical Bayesian methods for supervised neural networks." Network: Computation in Neural Systems, 6(3): 469-505.
-
(1995)
Network: Computation in Neural Systems
, vol.6
, Issue.3
, pp. 469-505
-
-
MacKay, D.1
-
25
-
-
65749115769
-
Variable Selection for Clustering with Gaussian Mixture Models
-
Maugis, C., Celeux, G., and Martin-Magniette, M. (2009). "Variable Selection for Clustering with Gaussian Mixture Models." Biometrics, 65: 701-709.
-
(2009)
Biometrics
, vol.65
, pp. 701-709
-
-
Maugis, C.1
Celeux, G.2
Martin-Magniette, M.3
-
26
-
-
77950032550
-
Markov Chain Sampling: Methods for Dirichlet Process Mixture Models
-
Neal, R. (2000). "Markov Chain Sampling: Methods for Dirichlet Process Mixture Models." Journal of Computational and Graphical Statistics, 9: 249-265.
-
(2000)
Journal of Computational and Graphical Statistics
, vol.9
, pp. 249-265
-
-
Neal, R.1
-
28
-
-
34249029861
-
Penalized model-based Clustering with Application to Variable Selection
-
Pan, W. and Shen, X. (2007). "Penalized model-based Clustering with Application to Variable Selection." Journal of Machine Learning Research, 8: 1145-1164.
-
(2007)
Journal of Machine Learning Research
, vol.8
, pp. 1145-1164
-
-
Pan, W.1
Shen, X.2
-
29
-
-
40249114903
-
Retrospective Markov chain Monte Carlo for Dirichlet process hierarchical models
-
Papaspiliopoulos, O. and Roberts, G. O. (2008). "Retrospective Markov chain Monte Carlo for Dirichlet process hierarchical models." Biometrika, 95: 169-186.
-
(2008)
Biometrika
, vol.95
, pp. 169-186
-
-
Papaspiliopoulos, O.1
Roberts, G.O.2
-
32
-
-
0000720609
-
A Constructive Definition of Dirichlet Priors
-
Sethuraman, J. (1994). "A Constructive Definition of Dirichlet Priors." Statistica Sinica, 4: 639-50.
-
(1994)
Statistica Sinica
, vol.4
, pp. 639-650
-
-
Sethuraman, J.1
-
33
-
-
0034374610
-
Bayesian analysis of mixture models with an unknown number of components-an alternative to reversible jump methods
-
Stephens, M. (2000). "Bayesian analysis of mixture models with an unknown number of components-an alternative to reversible jump methods." The Annals of Statistics, 28(1): 40-74.
-
(2000)
The Annals of Statistics
, vol.28
, Issue.1
, pp. 40-74
-
-
Stephens, M.1
-
34
-
-
20444465712
-
Bayesian Variable Selection in Clustering High-Dimensional Data
-
Tadesse, M., Sha, N., and Vannucci, M. (2005). "Bayesian Variable Selection in Clustering High-Dimensional Data." Journal of the American Statistical Association, 100(470): 602-618.
-
(2005)
Journal of the American Statistical Association
, vol.100
, Issue.470
, pp. 602-618
-
-
Tadesse, M.1
Sha, N.2
Vannucci, M.3
-
35
-
-
0001224048
-
Sparse Bayesian Learning and the Relevance Vector Machine
-
Tipping, M. (2001). "Sparse Bayesian Learning and the Relevance Vector Machine." Journal of Machine Learning Research, 1: 211-244.
-
(2001)
Journal of Machine Learning Research
, vol.1
, pp. 211-244
-
-
Tipping, M.1
-
36
-
-
0003747605
-
-
New York, Wiley
-
Titterington, D., Smith, A., and Makov, U. (1985). Statistical Analysis of Finite Mixture Distributions. New York, Wiley.
-
(1985)
Statistical Analysis of Finite Mixture Distributions
-
-
Titterington, D.1
Smith, A.2
Makov, U.3
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