-
1
-
-
0031537815
-
Standard errors of fitted means under normal mixture models
-
Basford, K. E., Greenway, D. R., McLachlan, G. J. and Peel, D. (1997). Standard errors of fitted means under normal mixture models. Computational Statistics 12, 1-17.
-
(1997)
Computational Statistics
, vol.12
, pp. 1-17
-
-
Basford, K.E.1
Greenway, D.R.2
McLachlan, G.J.3
Peel, D.4
-
2
-
-
84897149362
-
lme4: Linear mixed-effects models using S4 classes
-
R package version 0.999999-0.
-
Bates, D. M., Maechler, M. and Bolker, B. (2012). lme4: Linear mixed-effects models using S4 classes. R package version 0.999999-0.
-
(2012)
-
-
Bates, D.M.1
Maechler, M.2
Bolker, B.3
-
3
-
-
37849026391
-
Clustering using objective functions and stochastic search
-
Booth, J. G., Casella, G. and Hobert, J. P. (2008). Clustering using objective functions and stochastic search. Journal of the Royal Statistical Society B70, 119-139.
-
(2008)
Journal of the Royal Statistical Society
, vol.70 B
, pp. 119-139
-
-
Booth, J.G.1
Casella, G.2
Hobert, J.P.3
-
4
-
-
84858860574
-
Predictive cross-validation for the choice of linear mixed-effects models with application to data from the swiss HIV cohort study
-
Braun, J., Held, L. and Ledergerber, B. (2012). Predictive cross-validation for the choice of linear mixed-effects models with application to data from the swiss HIV cohort study. Biometrics 68, 53-61.
-
(2012)
Biometrics
, vol.68
, pp. 53-61
-
-
Braun, J.1
Held, L.2
Ledergerber, B.3
-
6
-
-
26844458204
-
Mixture of linear mixed models for clustering gene expression profiles from repeated microarray experiments
-
Celeux, G., Martin, O. and Lavergne, C. (2005). Mixture of linear mixed models for clustering gene expression profiles from repeated microarray experiments. Statistical Modelling 5, 243-267.
-
(2005)
Statistical Modelling
, vol.5
, pp. 243-267
-
-
Celeux, G.1
Martin, O.2
Lavergne, C.3
-
7
-
-
35548932932
-
Model-based clustering for longitudinal data
-
De la Cruz-Mesía, R., Quintana, F. A. and Marshall, G. (2008). Model-based clustering for longitudinal data. Computational Statistics & Data Analysis 52, 1441-1457.
-
(2008)
Computational Statistics & Data Analysis
, vol.52
, pp. 1441-1457
-
-
De la Cruz-Mesía, R.1
Quintana, F.A.2
Marshall, G.3
-
8
-
-
0002629270
-
Maximum likelihood from incomplete data via the EM algorithm
-
Dempster, A. P., Laired, N. M. and Rubin, D. B. (1977). Maximum likelihood from incomplete data via the EM algorithm. Journal of the Royal Statistical Society B39, 1-38.
-
(1977)
Journal of the Royal Statistical Society
, vol.39 B
, pp. 1-38
-
-
Dempster, A.P.1
Laired, N.M.2
Rubin, D.B.3
-
9
-
-
0020525824
-
Distribution of fvc and fev1 in children 6 to 11 years old
-
Dockery, D. W., Berkey, C. S., Ware, J. H., Speizer, F. E. and Ferris, B. G. (1983). Distribution of fvc and fev1 in children 6 to 11 years old. American Review of Respiratory Disease 128, 405-412.
-
(1983)
American Review of Respiratory Disease
, vol.128
, pp. 405-412
-
-
Dockery, D.W.1
Berkey, C.S.2
Ware, J.H.3
Speizer, F.E.4
Ferris, B.G.5
-
10
-
-
0002344794
-
Bootstrap methods: another look at the jackknife
-
Efron, B. (1979). Bootstrap methods: another look at the jackknife. The Annals of Statistics 7, 1-26.
-
(1979)
The Annals of Statistics
, vol.7
, pp. 1-26
-
-
Efron, B.1
-
12
-
-
49249129935
-
-
Springer, Berlin, DE.
-
Fahrmeir, L., Kneib, T. and Lang, S. (2007). Regression-Modelle, Methoden und Anwendungen. Springer, Berlin, DE.
-
(2007)
Regression-Modelle, Methoden und Anwendungen
-
-
Fahrmeir, L.1
Kneib, T.2
Lang, S.3
-
13
-
-
85163255347
-
-
C. M. Bishop and B. J. Frey (Eds.), Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics. Key West, FL.
-
Gaffney, S. J. and Smyth, P. (2003). Curve clustering with random effects regression mixtures. In: C. M. Bishop and B. J. Frey (Eds.), Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics. Key West, FL.
-
(2003)
Curve clustering with random effects regression mixtures
-
-
Gaffney, S.J.1
Smyth, P.2
-
14
-
-
78651278795
-
On the behaviour of marginal and conditional AIC in linear mixed models
-
Greven, S. and Kneib, T. (2010). On the behaviour of marginal and conditional AIC in linear mixed models. Biometrika 97, 773-789.
-
(2010)
Biometrika
, vol.97
, pp. 773-789
-
-
Greven, S.1
Kneib, T.2
-
15
-
-
84873978035
-
Clustmixed: clustering in linear and additive mixed models
-
R package version 1.0.
-
Heinzl, F. (2012). Clustmixed: clustering in linear and additive mixed models. R package version 1.0.
-
(2012)
-
-
Heinzl, F.1
-
16
-
-
84873948659
-
Clustering in linear mixed models with approximate Dirichlet process mixtures using EM algorithm
-
Heinzl, F. and Tutz, G. (2013). Clustering in linear mixed models with approximate Dirichlet process mixtures using EM algorithm. Statistical Modelling 13, 41-67.
-
(2013)
Statistical Modelling
, vol.13
, pp. 41-67
-
-
Heinzl, F.1
Tutz, G.2
-
18
-
-
78650252493
-
Discriminant analysis using a multivariate linear mixed model with a normal mixture in the random effects distribution
-
Komárek, A., Hansen, B. E., Kuiper, E. M. M., van Buuren, H. R. and Lesaffre, E. (2010). Discriminant analysis using a multivariate linear mixed model with a normal mixture in the random effects distribution. Statistics in Medicine 29, 3267-3283.
-
(2010)
Statistics in Medicine
, vol.29
, pp. 3267-3283
-
-
Komárek, A.1
Hansen, B.E.2
Kuiper, E.M.M.3
van Buuren, H.R.4
Lesaffre, E.5
-
19
-
-
84876025228
-
Clustering for multivariate continuous and discrete longitudinal data
-
Komárek, A. and Komárková, L. (2013). Clustering for multivariate continuous and discrete longitudinal data. The Annals of Applied Statistics 7, 177-200.
-
(2013)
The Annals of Applied Statistics
, vol.7
, pp. 177-200
-
-
Komárek, A.1
Komárková, L.2
-
20
-
-
40249084540
-
Generalized linear mixed model with a penalized Gaussian mixture as a random effects distribution
-
Komárek, A. and Lesaffre, E. (2008). Generalized linear mixed model with a penalized Gaussian mixture as a random effects distribution. Computational Statistics and Data Analysis 52, 3441-3458.
-
(2008)
Computational Statistics and Data Analysis
, vol.52
, pp. 3441-3458
-
-
Komárek, A.1
Lesaffre, E.2
-
21
-
-
0020333131
-
Random-effects models for longitudinal data
-
Laird, N. M. and Ware, J. H. (1982). Random-effects models for longitudinal data. Biometrics 38, 963-974.
-
(1982)
Biometrics
, vol.38
, pp. 963-974
-
-
Laird, N.M.1
Ware, J.H.2
-
23
-
-
84950419603
-
Newton-Raphson and EM algorithms for linear mixed effects models for repeated measures data
-
Lindstrom, M. J. and Bates, D. M. (1988). Newton-Raphson and EM algorithms for linear mixed effects models for repeated measures data. Journal of the American Statistical Association 83, 1014-1022.
-
(1988)
Journal of the American Statistical Association
, vol.83
, pp. 1014-1022
-
-
Lindstrom, M.J.1
Bates, D.M.2
-
24
-
-
58549098884
-
Simultaneous curve registration and clustering for functional data
-
Liu, X. and Yang, M. C. K. (2009). Simultaneous curve registration and clustering for functional data. Computational Statistics & Data Analysis 53, 1361-1376.
-
(2009)
Computational Statistics & Data Analysis
, vol.53
, pp. 1361-1376
-
-
Liu, X.1
Yang, M.C.K.2
-
25
-
-
0037687725
-
Approximate cross-validatory predictive checks in disease mapping models
-
Marshall, E. C. and Spiegelhalter, D. J. (2003). Approximate cross-validatory predictive checks in disease mapping models. Statistics in Medicine 22, 1649-1660.
-
(2003)
Statistics in Medicine
, vol.22
, pp. 1649-1660
-
-
Marshall, E.C.1
Spiegelhalter, D.J.2
-
27
-
-
84891483190
-
-
Humboldt-University Berlin: Center for Applied Statistics and Economics, Berlin, Germany.
-
McLachlan, G. J., Krishnan, T. and Ng, S. K. (2004). The EM Algorithm. Humboldt-University Berlin: Center for Applied Statistics and Economics, Berlin, Germany.
-
(2004)
The EM Algorithm
-
-
McLachlan, G.J.1
Krishnan, T.2
Ng, S.K.3
-
29
-
-
0000238336
-
A simplex method for function minimization
-
Nelder, J. A. and Mead, R. (1965). A simplex method for function minimization. Computer Journal 7, 308-313.
-
(1965)
Computer Journal
, vol.7
, pp. 308-313
-
-
Nelder, J.A.1
Mead, R.2
-
30
-
-
33747890494
-
A mixture model with random-effects components for clustering correlated gene-expression profiles
-
Ng, S. K., McLachlan, G. J., Wang, K., Ben-Tovim Jones, L. and Ng, S.-W. (2006). A mixture model with random-effects components for clustering correlated gene-expression profiles. Bioinformatics 22, 1745-1752.
-
(2006)
Bioinformatics
, vol.22
, pp. 1745-1752
-
-
Ng, S.K.1
McLachlan, G.J.2
Wang, K.3
Ben-Tovim Jones, L.4
Ng, S.-W.5
-
31
-
-
0000846686
-
Algorithms AS 47: function minimization using a simplex procedure
-
O'Neill, R. (1971). Algorithms AS 47: function minimization using a simplex procedure. Journal of the Royal Statistical Society C20, 338-345.
-
(1971)
Journal of the Royal Statistical Society
, vol.20 C
, pp. 338-345
-
-
O'Neill, R.1
-
32
-
-
82055193422
-
Multivariate generalized linear mixed models with semi-nonparametric and smooth nonparametric random effects densities
-
Papageorgiou, G. and Hinde, J. (2012). Multivariate generalized linear mixed models with semi-nonparametric and smooth nonparametric random effects densities. Statistics and Computing 22, 79-92.
-
(2012)
Statistics and Computing
, vol.22
, pp. 79-92
-
-
Papageorgiou, G.1
Hinde, J.2
-
33
-
-
84863304598
-
-
R Development Core Team R Foundation for Statistical Computing, Vienna, Austria, ISBN 3-900051-07-0.
-
R Development Core Team (2012). R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria, ISBN 3-900051-07-0.
-
(2012)
R: A Language and Environment for Statistical Computing
-
-
-
34
-
-
0012891890
-
-
Cambridge University Press, Cambridge, NY.
-
Ruppert, D., Wand, M. P. and Carroll, R. J. (2003). Semiparametric Regression. Cambridge University Press, Cambridge, NY.
-
(2003)
Semiparametric Regression
-
-
Ruppert, D.1
Wand, M.P.2
Carroll, R.J.3
-
35
-
-
77949514786
-
Mixtures of regression models for time course gene expression data: evaluation of initialization and random effects
-
Scharl, T., Grün, B. and Leisch, F. (2010). Mixtures of regression models for time course gene expression data: evaluation of initialization and random effects. Bioinformatics 26, 370-377.
-
(2010)
Bioinformatics
, vol.26
, pp. 370-377
-
-
Scharl, T.1
Grün, B.2
Leisch, F.3
-
37
-
-
12844266177
-
Sparsity and smoothness via the fused lasso
-
Tibshirani, R., Saunders, M., Rosset, S., Zhu, J. and Kneight, K. (2005). Sparsity and smoothness via the fused lasso. Journal of the Royal Statistical Society B67, 91-108.
-
(2005)
Journal of the Royal Statistical Society
, vol.67 B
, pp. 91-108
-
-
Tibshirani, R.1
Saunders, M.2
Rosset, S.3
Zhu, J.4
Kneight, K.5
-
38
-
-
21644476631
-
Conditional Akaike information for mixed-effects models
-
Vaida, F. and Blanchard, S. (2005). Conditional Akaike information for mixed-effects models. Biometrika 92, 351-370.
-
(2005)
Biometrika
, vol.92
, pp. 351-370
-
-
Vaida, F.1
Blanchard, S.2
-
39
-
-
0000569928
-
A linear mixed-effects model with heterogeneity in the random-effects population
-
Verbeke, G. and Lesaffre, E. (1996). A linear mixed-effects model with heterogeneity in the random-effects population. Journal of the American Statistical Association 91, 217-221.
-
(1996)
Journal of the American Statistical Association
, vol.91
, pp. 217-221
-
-
Verbeke, G.1
Lesaffre, E.2
-
40
-
-
0033450787
-
The effect of drop-out on the efficiency of longitudinal experiments
-
Verbeke, G. and Lesaffre, E. (1999). The effect of drop-out on the efficiency of longitudinal experiments. Applied Statistics 48, 363-375.
-
(1999)
Applied Statistics
, vol.48
, pp. 363-375
-
-
Verbeke, G.1
Lesaffre, E.2
-
42
-
-
0032213348
-
Comparative effects of neonatal and prepurbetal castration on craniofacial growth in rats
-
Verdonck, A., de Ridder, L., Verbeke, G., Bourguignon, J. P., Carels, C., Kuhn, E. R., Darras, V. and de Zegher, F. (1998). Comparative effects of neonatal and prepurbetal castration on craniofacial growth in rats. Archives of Oral Biology 43, 861-871.
-
(1998)
Archives of Oral Biology
, vol.43
, pp. 861-871
-
-
Verdonck, A.1
de Ridder, L.2
Verbeke, G.3
Bourguignon, J.P.4
Carels, C.5
Kuhn, E.R.6
Darras, V.7
de Zegher, F.8
-
43
-
-
70449393858
-
Cluster analysis using multivariate mixed effects models
-
Villarroel, L., Marshall, G. and Barón, A. E. (2009). Cluster analysis using multivariate mixed effects models. Statistics in Medicine 28, 2552-2565.
-
(2009)
Statistics in Medicine
, vol.28
, pp. 2552-2565
-
-
Villarroel, L.1
Marshall, G.2
Barón, A.E.3
-
44
-
-
33645035051
-
Model selection and estimation in regression with grouped variables
-
Yuan, M. and Lin, Y. (2006). Model selection and estimation in regression with grouped variables. Journal of the Royal Statistical Society B68, 49-67.
-
(2006)
Journal of the Royal Statistical Society
, vol.68 B
, pp. 49-67
-
-
Yuan, M.1
Lin, Y.2
|