Non-poissonian earthquake clustering and the hidden Markov model as bases for earthquake forecasting in California

Seismological Research Letters

Volumn 78, Issue 1, 2007, Pages 57-65

  Ebel, John E ^a   Chambers, Daniel W ^a   Kafla, Alan L ^a   Baglivo, Jenny A ^a  

^a BOSTON COLLEGE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 34248669288     PISSN: 08950695     EISSN: None     Source Type: Journal    
DOI: 10.1785/gssrl.78.1.57     Document Type: Article

References (16)

1. Baum, L. E., and T. Petrie (1966). Statistical inference for probabilistic functions of finite state Markov chains. Annals of Mathematical Statistics 37, 1,554-1,563.
2. Durbin, R., S. Eddy, A. Krogh, and G. Mitchison (1998). Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids. Cambridge: Cambridge University Press.
3. Ebel, J. E. (2003). Seismologists must begin forecasting earthquakes. Seismological Research Letters 74, 3-5.
4. Felzer, K., R. E. Abercrombie, and G. Ekström (2004). A common origin for aftershocks, foreshocks, and multiplets. Bulletin of the Seismological Society of America 94, 88-98.
5. Fredkin, D. R., and J. A. Rice (1992a). Bayesian restoration of single-channel patch cloamp recordings. Biometrics 48(2), 427-448.
6. Fredkin, D. R., and J. A. Rice (1992b). Maximum likelihood estimation and identification directly from single-channel recordings. Proceedings: Biological Sciences 249, 125-132.
7. Gardner, J. K., and L. Knopoff (1974). Is the sequence of earthquakes in southern California with aftershocks removed Poissonian? Bulletin of the Seismological Society of America 64, 1,363-1,367.
8. Granat, R., and A. Donnellan (2002). A hidden Markov model-based tool for geophysical data exploration. Pure and Applied Geophysics 159, 2,271-2,283.
9. Gutenberg, B., and C. F. Richter (1944). Frequency of earthquakes in California. Bulletin of the Seismological Society of America 34, 185-188.
10. Kafka, A. (2002). Statistical analysis of the hypothesis that seismicity delineates areas where future large earthquakes are likely to occur in the central and eastern United States. Seismological Research Letters 73, 990-1,001.
11. Keilis-Borok, V.I., P.N. Shebalin, P.N. Mitpan, K. Aki, A. Jin, A. Gabrielov, D.L. Turcotte, Z. Liu, and I. Zaliapin (2004). Documented prediction of the San Simeon earthquake six months in advance; premonitory change of seismicity, tectonic setting, and physical mechanism. Seismological Research Letters 75, 266.
12. Rabiner, L. (1989). A tutorial on hidden Markov models and selected applications in speech recognition. Proceedings of IEEE 77, 257-286.
13. Rao, C. R. (1973). Linear Statistical Inference and its Applications. New York: John Wiley & Sons.
14. Reasenberg, P. A., and L. M. Jones (1989). Earthquake hazard after a mainshock in California. Science 243, 1,173-1,176.
15. Reasenberg, P. A., and L. M. Jones (1994). Earthquake aftershocks: Update. Science 265, 1,251-1,252.
16. Schorlemmer, D., M. Gerstenberger, S. Wiemer, and D. Jackson (2004). Earthquake likelihood model testing. RELM Web site http://www.RELM.org.