Selected Publications
Wall, M. M. and Amemiya, Y. (2000). “Estimation for polynomial structural equation models.”
Journal of American Statistical Association, Vol. 95, 929–940.
Amemiya, Y. (2000). “Nonlinear errors-in-variables analysis with instrumental variables.” Proceedings of Business and Economic Statistics Section, the Annual Meeting of the American
Statistical Association, 13-19.
Christensen, W. F. and Amemiya, Y. (2001). “Generalized shifted-factor analysis method for multivariate geo-referenced data.” Mathematical Geology, Vol. 33, 801–824.
Wall, M. M. and Amemiya, Y. (2001). “Generalized appended product indicator procedure for
fitting polynomial structural models.” Journal of Educational and Behavioral Statistics,
Vol. 26, 1–29.
Yalcin, I. and Amemiya, Y. (2001). “Nonlinear factor analysis as a statistical method.” Statistical
Science, Vol. 16, 275–294.
Amemiya, Y. and Zhao, Y. (2001). “Estimation for nonlinear structural equation system with an unspecified distribution.” Proceedings of Business and Economic Statistics Section, the Annual Meeting of the American Statistical Association (CD-ROM).
Eickhoff, J. C. and Amemiya, Y. (2001). “Latent variable modeling for mixed-type outcome variables.” Social Statistics Section, the Annual Meeting of the American Statistical Association (CD-ROM).
Christensen, W. F. and Amemiya, Y. (2002). “Latent variable analysis of multivariate spatial data.” Journal of American Statistical Association, Vol. 97, 302–317.
Amemiya, Y. and Zhao, Y. (2002). “Pseudo likelihood approach for nonliear and non-normal structural equation analysis.” American Statistical Association Proceedings, Business and Economic Statistics Section, 51-56.
Lewin-Koh, S. C. and Amemiya, Y. (2003). “Heteroscedastic factor analysis.” Biometrika, Vol. 90, No. 1, 85–97.
Christensen, W. F. and Amemiya, Y. (2003). “Modeling and prediction for multivariate spatial factor analysis.” Journal of Statistical Planning and Inference, Vol. 115, No. 2, 543–564.
Wall, M. M. and Amemiya, Y. (2003). “A method of moments technique for fitting interaction effects in structural equation models.” British Journal of Mathematical and Statistical Psychology, Vol. 56, 47–63.
Eickhoff, J. C. and Amemiya, Y. (2003). “Latent variable modeling with mixed continuous and
polytomous data.” American Statistical Association Proceedings, Section on Statistics in Epidemiology, 1325–1331.
Eickhoff, J. C., Zhu, J.,and Amemiya, Y. (2004). “On the simulation size and the convergence of the Monte Carlo EM algorithm via likelihood-based distances.” Statistics & Probability Letters, Vol. 67, 161–171.
Amemiya, Y., Wall, M., and Guo, J. (2004). “Regressing latent class on latent factors.” American Statistical Association Proceedings, Biometrics Section, 264–270.
Eickhoff, J. C. and Amemiya, Y. (2005). “Latent variable models for misclassified polytomous outcome variables.” British Jounal of Mathematical and Statistical Psychology, Vol. 58, 359–375.
Eickhoff, J. C. and Amemiya, Y. (2005). “Generalized linear latent variable modeling for multigroup studies.” Communications in Statistics, Theory and Methods, Vol. 34, 1991–2008.
Papadopoulos, S. and Amemiya, Y. (2005). “Correlated populations with fixed and non-normal latent variables.” Annals of Statistics, Vol. 33, 2732–2757.
Wall, M. and Amemiya, Y. (2006). “A review of nonlinear factor analysis statistical methods.”
To appear in Factor Analysis at 100: Historical Development and Future Directions, R. McCallum and R. Cudeck eds., Lawrence Erlbaum Associates, Hillsdale, NJ.
Guo, J., Wall, M., Amemiya, Y. (2006). “Latent class regression on latent factors.” To appear in Biostatistics.
Amemiya, Y. (2006)“Analysis of an computer experiment for data center designing.” To appear
in Proceedings of the American Statistical Association, Section on Physical and Engineering Sciences.
Wall, M. and Amemiya, Y. (2006). “Nonlinear structural equation modeling as a statistical method.” To appear in Handbook on Structural Equation Models, S. Y. Lee ed.
