Estimation in nonlinear time series models
AbstractA general framework for analyzing estimates in nonlinear time series is developed. General conditions for strong consistency and asymptotic normality are derived both for conditional least squares and maximum likelihood types estimates. Ergodie strictly stationary processes are studied in the first part and certain nonstationary processes in the last part of the paper. Examples are taken from most of the usual classes of nonlinear time series models.
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Bibliographic InfoArticle provided by Elsevier in its journal Stochastic Processes and their Applications.
Volume (Year): 21 (1986)
Issue (Month): 2 (February)
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- Amano, Tomoyuki & Taniguchi, Masanobu, 2008. "Asymptotic efficiency of conditional least squares estimators for ARCH models," Statistics & Probability Letters, Elsevier, vol. 78(2), pages 179-185, February.
- Sarno, Lucio & Taylor, Mark P. & Chowdhury, Ibrahim, 2004.
"Nonlinear dynamics in deviations from the law of one price: a broad-based empirical study,"
Journal of International Money and Finance,
Elsevier, vol. 23(1), pages 1-25, February.
- Chowdhury, Ibrahim & Sarno, Lucio & Taylor, Mark P, 2002. "Non-Linear Dynamics in Deviations from the Law of One Price: A Broad-Based Empirical Study," CEPR Discussion Papers 3377, C.E.P.R. Discussion Papers.
- Hassan Bakouch & Miroslav Ristić, 2010. "Zero truncated Poisson integer-valued AR(1) model," Metrika, Springer, vol. 72(2), pages 265-280, September.
- Jose, K.K. & Tomy, Lishamol & Sreekumar, J., 2008. "Autoregressive processes with normal-Laplace marginals," Statistics & Probability Letters, Elsevier, vol. 78(15), pages 2456-2462, October.
- Carlo Grillenzoni, 1997. "Optimized adaptive prediction," Statistical Methods and Applications, Springer, vol. 6(1), pages 37-58, April.
- Carlo Grillenzoni, 2000. "Time-Varying Parameters Prediction," Annals of the Institute of Statistical Mathematics, Springer, vol. 52(1), pages 108-122, March.
- Taylor, Mark P. & Peel, David A., 2000. "Nonlinear adjustment, long-run equilibrium and exchange rate fundamentals," Journal of International Money and Finance, Elsevier, vol. 19(1), pages 33-53, February.
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