Mark Naylor
University of Edinburgh (United Kingdom)
Reader in Computational GeoScience and Hazard Research
About Me
Publications
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
Geffers, G., Main, I., & Naylor, M. (2022). Biases in estimating b-values from small earthquake catalogues: how high are high b-values?. Geophysical Journal International, 229(3), 1840-1855. doi: 10.1093/gji/ggac028. SCEC Contribution 11864
Serafini, F., Naylor, M., Lindgren, F., Werner, M. J., & Main, I. (2022). Ranking earthquake forecasts using proper scoring rules: binary events in a low probability environment. Geophysical Journal International, 230(2), 1419-1440. doi: 10.1093/gji/ggac124. SCEC Contribution 11791
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.
