메뉴 건너뛰기




Volumn 38, Issue 6, 2006, Pages 583-600

Genetic analysis of growth curves using the SAEM algorithm

Author keywords

Genetic analysis; Growth curves; Longitudinal data; Stochastic approximation EM algorithm

Indexed keywords

CATTLE; ESTIMATION METHOD; GENETIC ALGORITHM; GENETIC ANALYSIS; GROWTH; POULTRY; STOCHASTICITY;

EID: 33846193715     PISSN: 0999193X     EISSN: 12979686     Source Type: Journal    
DOI: 10.1051/gse:2006023     Document Type: Article
Times cited : (15)

References (28)
  • 1
    • 0030804634 scopus 로고    scopus 로고
    • Developmental quantitative genetics, conditional epigenetic variability and growth in mice
    • Atchley W.R., Zhu J., Developmental quantitative genetics, conditional epigenetic variability and growth in mice, Genetics 147 (1997) 765-776.
    • (1997) Genetics , vol.147 , pp. 765-776
    • Atchley, W.R.1    Zhu, J.2
  • 2
    • 0038036558 scopus 로고    scopus 로고
    • A Bayesian analysis of the effect of selection for growth rate on growth curves in rabbits
    • Blasco A., Piles M., Varona L., A Bayesian analysis of the effect of selection for growth rate on growth curves in rabbits, Genet. Sel. Evol. 35 (2003) 21-41.
    • (2003) Genet. Sel. Evol , vol.35 , pp. 21-41
    • Blasco, A.1    Piles, M.2    Varona, L.3
  • 3
    • 0033475053 scopus 로고    scopus 로고
    • Maximizing generalized linear mixed model likelihoods with an automated Monte Carlo EM algorithm
    • Booth J.G., Hobert J.P., Maximizing generalized linear mixed model likelihoods with an automated Monte Carlo EM algorithm, J. R. Statist. Soc. B. 61 (1999) 265-285.
    • (1999) J. R. Statist. Soc. B , vol.61 , pp. 265-285
    • Booth, J.G.1    Hobert, J.P.2
  • 4
    • 0002241694 scopus 로고
    • The SEM algorithm: A probabilistic teacher algorithm derived from the EM algorithm for the mixture problem
    • Celeux G., Diebolt J., The SEM algorithm: a probabilistic teacher algorithm derived from the EM algorithm for the mixture problem, Comp. Statist. Quat. 2 (1985) 73-82.
    • (1985) Comp. Statist. Quat , vol.2 , pp. 73-82
    • Celeux, G.1    Diebolt, J.2
  • 5
    • 5444232913 scopus 로고    scopus 로고
    • Nonlinear models for repeated measurement data: An overview and update
    • Davidian M., Giltinan D., Nonlinear models for repeated measurement data: an overview and update, J. Agric. Biol. Env. Satist. 4 (2003) 387-419.
    • (2003) J. Agric. Biol. Env. Satist , vol.4 , pp. 387-419
    • Davidian, M.1    Giltinan, D.2
  • 6
    • 0033243858 scopus 로고    scopus 로고
    • Convergence of a stochastic approximation version of the EM algorithm
    • Delyon B., Lavielle M., Moulines E., Convergence of a stochastic approximation version of the EM algorithm, Ann. Statist. 27 (1999) 94-128.
    • (1999) Ann. Statist , vol.27 , pp. 94-128
    • Delyon, B.1    Lavielle, M.2    Moulines, E.3
  • 8
    • 0034060090 scopus 로고    scopus 로고
    • The PX EM algorithmfor fast fitting of Henderson's mixed model
    • Foulley J.L., van Dyk D.A., The PX EM algorithmfor fast fitting of Henderson's mixed model, Genet. Sel. Evol. 32 (2000) 143-163.
    • (2000) Genet. Sel. Evol , vol.32 , pp. 143-163
    • Foulley, J.L.1    van Dyk, D.A.2
  • 9
    • 0000106855 scopus 로고
    • On the convergence of Monte Carlo maximum likelihood calculations
    • Geyer C.J., On the convergence of Monte Carlo maximum likelihood calculations, J. R. Statist. Soc. B. 56 (1994) 261-274.
    • (1994) J. R. Statist. Soc. B , vol.56 , pp. 261-274
    • Geyer, C.J.1
  • 11
    • 0036511741 scopus 로고    scopus 로고
    • Genetic parameters for various random regression models to describe weight data of pigs
    • Huisman A.E., Veerkamp R.F., van Arendonk J.A.M., Genetic parameters for various random regression models to describe weight data of pigs, J. Anim. Sci. 80 (2002) 575-582.
    • (2002) J. Anim. Sci , vol.80 , pp. 575-582
    • Huisman, A.E.1    Veerkamp, R.F.2    van Arendonk, J.A.M.3
  • 12
    • 17344393868 scopus 로고    scopus 로고
    • Structured antedependencemodels for genetic analysis ofmultivariate repeatedmeasures in quantitative traits
    • Jaffrézic F., Thompson R., Hill W.G., Structured antedependencemodels for genetic analysis ofmultivariate repeatedmeasures in quantitative traits, Genet. Res. 82 (2003) 55-65.
    • (2003) Genet. Res , vol.82 , pp. 55-65
    • Jaffrézic, F.1    Thompson, R.2    Hill, W.G.3
  • 13
    • 9744235946 scopus 로고    scopus 로고
    • Use of structured antedependence models for the genetic analysis of growth curves
    • Jaffrézic F., Venot E., Laloë D., Vinet A., Renand G., Use of structured antedependence models for the genetic analysis of growth curves, J. Anim. Sci. 82 (2004) 3465-3473.
    • (2004) J. Anim. Sci , vol.82 , pp. 3465-3473
    • Jaffrézic, F.1    Venot, E.2    Laloë, D.3    Vinet, A.4    Renand, G.5
  • 14
    • 13444249563 scopus 로고    scopus 로고
    • Coupling a stochastic approximation version of EM with a MCMC procedure, ESAIM Prob
    • Kuhn E., Lavielle M., Coupling a stochastic approximation version of EM with a MCMC procedure, ESAIM Prob. Statist. 8 (2004) 115-131.
    • (2004) Statist , vol.8 , pp. 115-131
    • Kuhn, E.1    Lavielle, M.2
  • 15
    • 19044400906 scopus 로고    scopus 로고
    • Maximum likelihood estimation in nonlinear mixed effects models
    • Kuhn E., Lavielle M., Maximum likelihood estimation in nonlinear mixed effects models, Comput. Statist. Data Anal. 49 (2005) 1020-1038.
    • (2005) Comput. Statist. Data Anal , vol.49 , pp. 1020-1038
    • Kuhn, E.1    Lavielle, M.2
  • 16
    • 33846193957 scopus 로고    scopus 로고
    • Manual
    • Lavielle M., Monolix User Guide Manual, 2005, http://www.math.upsud.fr/ ~lavielle/monolix/logiciels.
    • (2005) Monolix User Guide
    • Lavielle, M.1
  • 17
    • 0035628553 scopus 로고    scopus 로고
    • Implementations of the Monte Carle EM algorithm
    • Levine R.A., Casella G., Implementations of the Monte Carle EM algorithm, J. Comp. Graph. Statist. 10 (2001) 1-18.
    • (2001) J. Comp. Graph. Statist , vol.10 , pp. 1-18
    • Levine, R.A.1    Casella, G.2
  • 18
    • 0025170004 scopus 로고
    • Nonlinear mixed-effects models for repeated measures data
    • Lindstrom M.J., Bates D.M., Nonlinear mixed-effects models for repeated measures data, Biometrics 46 (1990) 673-687.
    • (1990) Biometrics , vol.46 , pp. 673-687
    • Lindstrom, M.J.1    Bates, D.M.2
  • 19
    • 0001044972 scopus 로고
    • 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. Statist. Soc. B. 44 (1982) 226-233.
    • (1982) J. R. Statist. Soc. B , vol.44 , pp. 226-233
    • Louis, T.A.1
  • 20
    • 0036671301 scopus 로고    scopus 로고
    • Functional mapping of quantitative trait loci underlying the character process: A theoretical framework
    • Ma C.-X., Casella G., Wu R.L., Functional mapping of quantitative trait loci underlying the character process: a theoretical framework, Genetics 161 (2002) 1751-1762.
    • (2002) Genetics , vol.161 , pp. 1751-1762
    • Ma, C.-X.1    Casella, G.2    Wu, R.L.3
  • 21
    • 0031479575 scopus 로고    scopus 로고
    • Maximum likelihood algorithms for generalized linear mixed models
    • McCulloch C.E., Maximum likelihood algorithms for generalized linear mixed models, J. Am. Statist. Assoc. 92 (1997) 162-170.
    • (1997) J. Am. Statist. Assoc , vol.92 , pp. 162-170
    • McCulloch, C.E.1
  • 22
    • 0001057239 scopus 로고    scopus 로고
    • Fast EM-type implementations for mixed effects models
    • Meng X.L., van Dyk D.A., Fast EM-type implementations for mixed effects models, J. R. Statist. Soc. B. 60 (1998) 559-578.
    • (1998) J. R. Statist. Soc. B , vol.60 , pp. 559-578
    • Meng, X.L.1    van Dyk, D.A.2
  • 23
    • 0034956288 scopus 로고    scopus 로고
    • Variability of the postpartum recovery of sexual activity of Charolais cows
    • Mialon M.M., Renand G., Krauss D., Ménissier F., Variability of the postpartum recovery of sexual activity of Charolais cows, Livest. Prod. Sci. 69 (2001) 217-226.
    • (2001) Livest. Prod. Sci , vol.69 , pp. 217-226
    • Mialon, M.M.1    Renand, G.2    Krauss, D.3    Ménissier, F.4
  • 24
    • 0034296388 scopus 로고    scopus 로고
    • Genetic analysis of growth curve parameters for male and female chickens resulting from selection on shape of growth curve
    • Mignon-Grasteau S., Piles M., Varona L., de Rochambeau H., Poivey J.P., Blasco A., Beaumont C., Genetic analysis of growth curve parameters for male and female chickens resulting from selection on shape of growth curve, J. Anim. Sci. 78 (2000) 2515-2524.
    • (2000) J. Anim. Sci , vol.78 , pp. 2515-2524
    • Mignon-Grasteau, S.1    Piles, M.2    Varona, L.3    de Rochambeau, H.4    Poivey, J.P.5    Blasco, A.6    Beaumont, C.7
  • 25
    • 0033850850 scopus 로고    scopus 로고
    • Modeling non-stationary longitudinal data
    • Nunez-Anton V., Zimmerman D.L., Modeling non-stationary longitudinal data, Biometrics 56 (2000) 699-705.
    • (2000) Biometrics , vol.56 , pp. 699-705
    • Nunez-Anton, V.1    Zimmerman, D.L.2
  • 26
    • 0036191645 scopus 로고    scopus 로고
    • Generalized character process models: Estimating the genetic basis of traits that cannot be observed and that change with age or environmental conditions
    • Pletcher S.D., Jaffrézic F., Generalized character process models: estimating the genetic basis of traits that cannot be observed and that change with age or environmental conditions, Biometrics 58 (2002) 157-162.
    • (2002) Biometrics , vol.58 , pp. 157-162
    • Pletcher, S.D.1    Jaffrézic, F.2
  • 27
    • 0003818292 scopus 로고    scopus 로고
    • WinBUGS Version 1.4 User Manual, Cambridge: Medical Research Council Biostatistics Unit
    • Spiegelhalter D.J., Thomas A., Best N.G., WinBUGS Version 1.4 User Manual, Cambridge: Medical Research Council Biostatistics Unit, http://www.mrcbsu.cam.ac.uk/bugs, 2004.
    • (2004)
    • Spiegelhalter, D.J.1    Thomas, A.2    Best, N.G.3
  • 28
    • 84950432017 scopus 로고
    • A Monte Carlo implementation of the EM algorithm and the poor man's data augmentation algorithms
    • Wei G.C.G., Tanner M.A., A Monte Carlo implementation of the EM algorithm and the poor man's data augmentation algorithms, J. Am. Statist. Assoc. 85 (1990) 699-704.
    • (1990) J. Am. Statist. Assoc , vol.85 , pp. 699-704
    • Wei, G.C.G.1    Tanner, M.A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.