Parameter estimation for the simple self-correcting point process

Author:

Inagaki Nobuo,Hayashi Toshihabu

Publisher

Springer Science and Business Media LLC

Subject

Statistics and Probability

Reference8 articles.

1. Hayashi, T. (1986). Laws of large numbers in self-correcting point processes, Stochastic Process Appl., 23, 319?326.

2. Hayashi, T. (1988). Local asymptotic normality in self-correcting point processes, Statistical Theory and Data Analysis II, (ed. K., Matusita), 551?558, North-Holland, Amsterdam.

3. Isham, V. and Westcott, M. (1979). A self-correcting point process, Stochastic Process Appl., 8, 335?347.

4. Kutoyants, Yu. A. (1984). Parameter Estimation for Stochastic Process, (translated by Prakasa Rao, B. L. S.), Heldermann Verlag, Berlin.

5. Ogata, Y. and Vere-Jones, D. (1984). Inference for earthquake models: a self-correcting model, Stochastic Process Appl., 17, 337?347.

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1. Some problems in nonparametric inference for the stress release process related to the local time;Annals of the Institute of Statistical Mathematics;2011-11-11

2. Asymptotic inference for semimartingale models with singular parameter points;Journal of Statistical Planning and Inference;1994-04

3. On a singularity occurring in a self-correcting point process model;Annals of the Institute of Statistical Mathematics;1993

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