-
1
-
-
0033475053
-
Maximizing generalized linear mixed model likelihoods with an automated Monte Carlo EM algorithm
-
Booth J.G., Hobert J.P. (1999) Maximizing generalized linear mixed model likelihoods with an automated Monte Carlo EM algorithm. J. R. Statist. Soc. B, 61, 265-285.
-
(1999)
J. R. Statist. Soc. B
, vol.61
, pp. 265-285
-
-
Booth, J.G.1
Hobert, J.P.2
-
2
-
-
0002241694
-
The SEM algorithm: a probabilistic teacher algorithm derived from the EM algorithm for the mixture problem
-
Celeux G., Diebolt J. (1985) The SEM algorithm: a probabilistic teacher algorithm derived from the EM algorithm for the mixture problem. Comp. Statist. Q., 2, 73-82.
-
(1985)
Comp. Statist. Q.
, vol.2
, pp. 73-82
-
-
Celeux, G.1
Diebolt, J.2
-
3
-
-
0033243858
-
Convergence of a stochastic approximation version of the EM algorithm
-
Delyon B., Lavielle M., Moulines E. (1999) Convergence of a stochastic approximation version of the EM algorithm. Ann. Statist., 27, 94-128.
-
(1999)
Ann. Statist.
, vol.27
, pp. 94-128
-
-
Delyon, B.1
Lavielle, M.2
Moulines, E.3
-
4
-
-
0002629270
-
Maximum likelihood from incomplete data via the EM algorithm
-
Dempster A.P., Laird N.M., Rubin D.B. (1977) Maximum likelihood from incomplete data via the EM algorithm. J. R. Statist. Soc. B, 39, 1-38.
-
(1977)
J. R. Statist. Soc. B
, vol.39
, pp. 1-38
-
-
Dempster, A.P.1
Laird, N.M.2
Rubin, D.B.3
-
5
-
-
0034060090
-
The PX-EM algorithm for fast stable fitting of Henderson's mixed model
-
Foulley J.-L., van Dyk D.A. (2000) The PX-EM algorithm for fast stable fitting of Henderson's mixed model. Genet. Sel. Evol., 32, 143-163.
-
(2000)
Genet. Sel. Evol.
, vol.32
, pp. 143-163
-
-
Foulley, J.-L.1
van Dyk, D.A.2
-
6
-
-
0034830499
-
Alternative implementations of Monte Carlo EM algorithms for likelihood inference
-
García-Cortés L.A., Sorensen D. (2001) Alternative implementations of Monte Carlo EM algorithms for likelihood inference. Genet. Sel. Evol., 33, 443-452.
-
(2001)
Genet. Sel. Evol.
, vol.33
, pp. 443-452
-
-
García-Cortés, L.A.1
Sorensen, D.2
-
7
-
-
21144484743
-
Variance component estimation by resampling
-
García-Cortés L.A., Moreno C., Varona L., Altarriba J. (1992) Variance component estimation by resampling. J. Anim. Breed. Genet., 109, 358-363.
-
(1992)
J. Anim. Breed. Genet.
, vol.109
, pp. 358-363
-
-
García-Cortés, L.A.1
Moreno, C.2
Varona, L.3
Altarriba, J.4
-
8
-
-
21844510937
-
Estimation of prediction-error variances by resampling
-
García-Cortés L.A., Moreno C., Varona L., Altarriba J. (1995) Estimation of prediction-error variances by resampling. J. Anim. Breed. Genet., 112, 176-182.
-
(1995)
J. Anim. Breed. Genet.
, vol.112
, pp. 176-182
-
-
García-Cortés, L.A.1
Moreno, C.2
Varona, L.3
Altarriba, J.4
-
9
-
-
0029564551
-
Average information REML: an efficient algorithm for variance parameter estimation in linear mixed models
-
Gilmour A., Thompson R., Cullis B. (1995) Average information REML: an efficient algorithm for variance parameter estimation in linear mixed models. Biometrics, 51, 1440-1450.
-
(1995)
Biometrics
, vol.51
, pp. 1440-1450
-
-
Gilmour, A.1
Thompson, R.2
Cullis, B.3
-
10
-
-
77957177451
-
Monte Carlo estimation of variance component models for large complex pedigrees
-
Guo S.W., Thompson E.A. (1991) Monte Carlo estimation of variance component models for large complex pedigrees. IMA J. Math. Appl. Med. Biol., 8, 171-189.
-
(1991)
IMA J. Math. Appl. Med. Biol.
, vol.8
, pp. 171-189
-
-
Guo, S.W.1
Thompson, E.A.2
-
11
-
-
0842346732
-
Making REML computationally feasible for large data sets: use of Gibbs sampler
-
Harville D.A. (2004) Making REML computationally feasible for large data sets: use of Gibbs sampler. J. Stat. Comp. Sim., 74, 135-153.
-
(2004)
J. Stat. Comp. Sim.
, vol.74
, pp. 135-153
-
-
Harville, D.A.1
-
12
-
-
0040845224
-
Estimation of variances and covariances under multiple trait model
-
Henderson C.R. (1984) Estimation of variances and covariances under multiple trait model. J. Dairy Sci., 67, 1581-1589.
-
(1984)
J. Dairy Sci.
, vol.67
, pp. 1581-1589
-
-
Henderson, C.R.1
-
13
-
-
77949834462
-
Estimation of prediction error variances via Monte Carlo sampling methods using different formulations of the prediction error variance
-
Hickey J.M., Veerkamp R.F., Calus M.P.L., Mulder H.A., Thompson R. (2009) Estimation of prediction error variances via Monte Carlo sampling methods using different formulations of the prediction error variance. Genet. Sel. Evol., 41, 23.
-
(2009)
Genet. Sel. Evol.
, vol.41
, pp. 23
-
-
Hickey, J.M.1
Veerkamp, R.F.2
Calus, M.P.L.3
Mulder, H.A.4
Thompson, R.5
-
14
-
-
33846193715
-
Genetic analysis of growth curves using the SAEM algorithm
-
Jaffrézic F., Meza C., Lavielle M., Foulley J.-L. (2006) Genetic analysis of growth curves using the SAEM algorithm. Genet. Sel. Evol., 38, 583-600.
-
(2006)
Genet. Sel. Evol.
, vol.38
, pp. 583-600
-
-
Jaffrézic, F.1
Meza, C.2
Lavielle, M.3
Foulley, J.-L.4
-
15
-
-
84869198387
-
-
Animal model estimation using simulated REML. In: Proceedings 4th World Congress on Genetics Applied to Livestock Production XIII: 472-475. Edinburgh, July 1990
-
Klassen D.J., Smith S.P. (1990) Animal model estimation using simulated REML. In: Proceedings 4th World Congress on Genetics Applied to Livestock Production XIII: 472-475. Edinburgh, 23-27 July 1990.
-
(1990)
, pp. 23-27
-
-
Klassen, D.J.1
Smith, S.P.2
-
16
-
-
0035628553
-
Implementations of the Monte Carlo EM algorithm
-
Levine R.A., Casella G. (2001) Implementations of the Monte Carlo EM algorithm. J. Comp. Graph. Stat., 10, 422-439.
-
(2001)
J. Comp. Graph. Stat.
, vol.10
, pp. 422-439
-
-
Levine, R.A.1
Casella, G.2
-
17
-
-
2442599184
-
An automated (Markov chain) Monte Carlo EM algorithm
-
Levine R.A., Fan J. (2004) An automated (Markov chain) Monte Carlo EM algorithm. J. Stat. Comp. Sim., 74, 349-360.
-
(2004)
J. Stat. Comp. Sim.
, vol.74
, pp. 349-360
-
-
Levine, R.A.1
Fan, J.2
-
18
-
-
84891740814
-
-
Technical reference guide for MiX99, Release IV/2011. MTT Agrifood Research Finland
-
Lidauer M.H., Matilainen K., Mäntysaari E.A., Strandén I. (2011) Technical reference guide for MiX99, Release IV/2011. MTT Agrifood Research Finland. http://www.mtt.fi/BGE/Software/MiX99.
-
(2011)
-
-
Lidauer, M.H.1
Matilainen, K.2
Mäntysaari, E.A.3
Strandén, I.4
-
20
-
-
85014863826
-
Restricted maximum likelihood estimates of variance components from multitrait sire models with large number of fixed effects
-
Mäntysaari E., Van Vleck L.D. (1989) Restricted maximum likelihood estimates of variance components from multitrait sire models with large number of fixed effects. J. Anim. Breed. Genet., 106, 409-422.
-
(1989)
J. Anim. Breed. Genet.
, vol.106
, pp. 409-422
-
-
Mäntysaari, E.1
Van Vleck, L.D.2
-
21
-
-
0031479575
-
Maximum likelihood algorithms for generalized linear mixed models
-
McCulloch C.E. (1997) Maximum likelihood algorithms for generalized linear mixed models. J. Am. Stat. Ass., 92, 162-170.
-
(1997)
J. Am. Stat. Ass.
, vol.92
, pp. 162-170
-
-
McCulloch, C.E.1
-
22
-
-
58549090692
-
Estimation in the probit normal model for binary outcomes using the SAEM algorithm
-
Meza C., Jaffrézic F., Foulley J.-L. (2009) Estimation in the probit normal model for binary outcomes using the SAEM algorithm. Comp. Stat. Data Anal., 53, 1350-1360.
-
(2009)
Comp. Stat. Data Anal.
, vol.53
, pp. 1350-1360
-
-
Meza, C.1
Jaffrézic, F.2
Foulley, J.-L.3
-
23
-
-
55949129116
-
Reliable computing in estimation of variance components
-
Misztal I. (2008) Reliable computing in estimation of variance components. J. Anim. Breed. Genet., 125, 363-370.
-
(2008)
J. Anim. Breed. Genet.
, vol.125
, pp. 363-370
-
-
Misztal, I.1
-
24
-
-
0036884552
-
Maximum likelihood inference for multivariate frailty models using an automated Monte Carlo EM algorithm
-
Ripatti S., Larsen K., Palmgren J. (2002) Maximum likelihood inference for multivariate frailty models using an automated Monte Carlo EM algorithm. Lifetime Data Anal., 8, 349-360.
-
(2002)
Lifetime Data Anal.
, vol.8
, pp. 349-360
-
-
Ripatti, S.1
Larsen, K.2
Palmgren, J.3
-
25
-
-
0033254742
-
Solving large mixed linear models using preconditioned conjugate gradient iteration
-
Strandén I., Lidauer M. (1999) Solving large mixed linear models using preconditioned conjugate gradient iteration. J. Dairy Sci., 82, 2779-2787.
-
(1999)
J. Dairy Sci.
, vol.82
, pp. 2779-2787
-
-
Strandén, I.1
Lidauer, M.2
-
26
-
-
84869185679
-
-
Integrating best linear unbiased prediction and maximum likelihood estimation. In: Proceedings 5th World Congress on Genetics Applied to Livestock Production XVIII: 337-340. Guelph, August 1994
-
Thompson R. (1994) Integrating best linear unbiased prediction and maximum likelihood estimation. In: Proceedings 5th World Congress on Genetics Applied to Livestock Production XVIII: 337-340. Guelph, 7-12 August 1994.
-
(1994)
, pp. 7-12
-
-
Thompson, R.1
-
27
-
-
84950432017
-
A Monte Carlo implementation of the EM algorithm and the poor man's data augmentation algorithms
-
Wei G., Tanner M. (1990) A Monte Carlo implementation of the EM algorithm and the poor man's data augmentation algorithms. J. Am. Stat. Ass., 85, 699-704.
-
(1990)
J. Am. Stat. Ass.
, vol.85
, pp. 699-704
-
-
Wei, G.1
Tanner, M.2
|