Maximum likelihood estimation for linear Gaussian covariance models
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- C. Gouriéroux & A. Monfort & J.‐M. Zakoïan, 2019.
"Consistent Pseudo‐Maximum Likelihood Estimators and Groups of Transformations,"
Econometrica, Econometric Society, vol. 87(1), pages 327-345, January.
- Christian Gouriéroux & Alain Monfort & Jean-Michel Zakoian, 2018. "Consistent Pseudo-Maximum Likelihood Estimators and Groups of Transformations," Working Papers 2018-08, Center for Research in Economics and Statistics.
- Gouriéroux, Christian & Monfort, Alain & Zakoian, Jean-Michel, 2018. "Consistent Pseudo-Maximum Likelihood Estimators and Groups of Transformations," MPRA Paper 87834, University Library of Munich, Germany.
- Martina Hančová & Andrej Gajdoš & Jozef Hanč & Gabriela Vozáriková, 2021. "Estimating variances in time series kriging using convex optimization and empirical BLUPs," Statistical Papers, Springer, vol. 62(4), pages 1899-1938, August.
- Sattler, Paavo & Dobler, Dennis, 2026. "Testing for patterns and structures in covariance and correlation matrices," Journal of Multivariate Analysis, Elsevier, vol. 211(C).
- Anupam Kundu & Mohsen Pourahmadi, 2023. "MLE of Jointly Constrained Mean-Covariance of Multivariate Normal Distributions," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 85(1), pages 1-32, May.
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