1. Abdelghani, M., Basseville, M., Benveniste, A., Mevel, L., Balmès, E., Hermans, L., & Van der Auweraer, H. (1999). Assessment of subspace fault detection algorithms on a realistic simulator-based example. IMAC-XVII, International Modal Analysis Conference, Kissimmee, FL.
2. Markovian representation of stochastic processes by canonical variables;Akaı̈ke;SIAM Jal Control,1973
3. Markovian representation of stochastic processes and its application to the analysis of autoregressive moving average processes;Akaı̈ke;Annals Institute of Statistics and Mathematics,1974
4. Arun, K. S., & Kung, S. Y. (1986). Generalized principal components analysis and its application in approximate stochastic realization. In Desai, U.B. Modeling and application of stochastic processes (pp. 75–103). Dordrecht: Kluwer Academic Publishers.
5. Basawa, I. V. (1985). Neyman-Le Cam tests based on estimating functions. In Le Cam, & Olshen, Proceedings of the Berkeley Conference honor of Neyman and Kiefer, vol. 2, pp. 811–825.