An application of Bayesian (ABIC) smoothing methods to estimating space and time variations in the magnitude distributions of earthquakes

Author:

Imoto Masajiro

Publisher

Springer Science and Business Media LLC

Subject

Statistics and Probability

Reference20 articles.

1. Akaike, H. (1980). Likelihood and Bayse procedure, Bayesian Statistics (eds. J. M. Bernard, M. H. De Groot, D. U. Lindley and A. F. M. Smith), University Press, Valencia, Spain.

2. Akaike, H. and Ishiguro, M. (1983). Comparative study of the X-11 and BAYSEA procedure of seasonal adjustment, Applied Time Series of Analysis of Economic Data, 17?53, U. S. Department of Commerce, Bureau of the Census.

3. Hori, S. (1986). The earthquake mechanism of the M6.1 event occurred near the border of Chiba and Ibaraki Prefecture, central Japan on October 4, 1985 and its tectonic implication, Zisin II, 39, 457?468 (in Japanese).

4. Imoto, M. (1987a). A Bayesian method for estimating earthquake magnitude distribution and changes in the distribution with time and space in New Zealand, New Zealand J. Geol. Geophys., 30, 103?116.

5. Imoto, M. (1987b). Time-space variations of the magnitude-frequency relation in the Tokai area, Zisin II, 40, 19?26 (in Japanese).

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