kbayliss | Statewide California Earthquake Center

Kirsty Bayliss

University of Edinburgh, UK

Postdoctoral research associate in statistical seismology

Expertise: Statistical seismology, earthquake clustering, earthquake forecasting, spatio-temporal statistical modelling

Kirsty.Bayliss@ed.ac.uk

About Me Publications

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Serafini, F., Naylor, M., Werner, M. J., Mizrahi, L., Han, M., Bayliss, K., Iturrieta, P. C., & Bayona, J. A. (2024, 09). Exploring new statistical metrics to evaluate the magnitude distribution of earthquake forecasting models. Poster Presentation at 2024 SCEC Annual Meeting. SCEC Contribution 13875

Maechling, P. J., Silva, F., Savran, W. H., Iturrieta, P. C., Graham, K., Bayona, J. A., Asim, K. M., Bao, H., Bayliss, K., Herrmann, M., & Werner, M. J. (2023, 09). Extending pyCSEP: A Python Toolkit for Earthquake Forecast Developers. Poster Presentation at 2023 SCEC Annual Meeting. SCEC Contribution 12877

Savran, W. H., Bayona, J. A., Iturrieta, P. C., Asim, K. M., Bao, H., Bayliss, K., Herrmann, M., Schorlemmer, D., Maechling, P. J., & Werner, M. J. (2022, 09). Modernizing CSEP experiments: The Floating Testing Center. Poster Presentation at 2022 SCEC Annual Meeting. SCEC Contribution 12583

Savran, W. H., Bayona, J. A., Iturrieta, P., Asim, K. M., Bao, H., Bayliss, K., Herrmann, M., Schorlemmer, D., Maechling, P. J., & Werner, M. J. (2022). pyCSEP: A Python Toolkit for Earthquake Forecast Developers. Seismological Research Letters,. doi: 10.1785/0220220033. SCEC Contribution 11740

Bayliss, K., Naylor, M., Kamranzad, F., & Main, I. (2021, 08). Pseudo-prospective testing of five year time-independent California earthquake forecasts with inlabru . Poster Presentation at 2021 SCEC Annual Meeting. SCEC Contribution 11511

Last updated Sep 19, 2024.

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