Author:
Chafaï Djalil,Concordet Didier
Publisher
Springer Science and Business Media LLC
Subject
Computational Theory and Mathematics,Statistics, Probability and Uncertainty,Statistics and Probability,Theoretical Computer Science
Reference25 articles.
1. Anderson, T.W.: Asymptotically efficient estimation of covariance matrices with linear structure. Ann. Stat. 1, 135–141 (1973)
2. Beal, S.L., Sheiner, L.B.: NONMEM user’s guide. Nonlinear mixed effects models for repeated measures data. University of California, San Francisco (1992)
3. Cepeda, E.C., Gamerman, D.: Bayesian modeling of joint regressions for the mean and covariance matrix. Biom. J. 46(4), 430–440 (2004)
4. Chaudhuri, S., Drton, M., Richardson, T.S.: Estimation of a covariance matrix with zeros. Biometrika 94(1), 199–216 (2007)
5. Concordet, D., Nunez, O.G.: A simulated pseudo-maximum likelihood estimator for nonlinear mixed models. Comput. Stat. Data Anal. 39(2), 187–201 (2002)
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