Computing all roots of the likelihood equations of seemingly unrelated regressions
暂无分享,去创建一个
[1] L. Telser,et al. Iterative Estimation of a Set of Linear Regression Equations , 1964 .
[2] A. Goldberger. A course in econometrics , 1991 .
[3] David A. Cox,et al. Ideals, Varieties, and Algorithms , 1997 .
[4] D. Madigan,et al. Alternative Markov Properties for Chain Graphs , 2001 .
[5] T. Richardson,et al. Multimodality of the likelihood in the bivariate seemingly unrelated regressions model , 2004 .
[6] W. Ames. Algorithms (2nd edition) , 1990 .
[7] M. Drton,et al. Conditional independence models for seemingly unrelated regressions with incomplete data , 2006 .
[8] J. Rochon. Accounting for Covariates Observed Post Randomization for Discrete and Continuous Repeated Measures Data , 1996 .
[9] Pablo A. Parrilo,et al. Minimizing Polynomial Functions , 2001, Algorithmic and Quantitative Aspects of Real Algebraic Geometry in Mathematics and Computer Science.
[10] J Rochon,et al. Analyzing bivariate repeated measures for discrete and continuous outcome variables. , 1996, Biometrics.
[11] S. Basu,et al. Algorithmic and Quantitative Real Algebraic Geometry , 2003 .
[12] Jan Kmenta,et al. A General Procedure for Obtaining Maximum Likelihood Estimates in Generalized Regression Models , 1974 .
[13] B. Sturmfels. SOLVING SYSTEMS OF POLYNOMIAL EQUATIONS , 2002 .
[14] P. Spirtes,et al. Ancestral graph Markov models , 2002 .
[15] M. Perlman,et al. Normal linear models with lattice conditional independence restrictions , 1994 .
[16] W. N. Venables,et al. An extension of the growth curve model , 1988 .
[17] David A. Cox,et al. Using Algebraic Geometry , 1998 .
[18] A. Zellner. An Efficient Method of Estimating Seemingly Unrelated Regressions and Tests for Aggregation Bias , 1962 .