Some Aspects of Statistical Inference in a Markovian and Mixing Framework
Author:
Roussas George G.
Reference162 articles.
1. Ahmad, I. A. and P. E. Lin. (1984). Fitting a multiple regression function. Journal of Statistical Planning and Inference9, 163–176.
2. Akritas, M.G. and G. G. Roussas. (1979). Asymptotic expansion of the log-likelihood function based on stopping times defined on Markov processes. Annals of the Institute of Statistical Mathematics31A, 21–38.
3. Akritas, M.G., M. L. Puri, and G. G. Roussas. (1979). Sample size, parameter rates and contiguity — the i.i.d. case. Communication in Statistics — Theoretical MethodsA8, 71–83.
4. Akritas, M.G. and G. G. Roussas. (1980). Asymptotic inference in continuous time semi-Markov processes. Scandinavian Journal of Statistics7, 73–79.
5. Athreya, K.B. and S. G. Pantula. (1986). Mixing properties of Harris chains and autoregressive processes. Journal of Applied Probability23, 880–892.