Mancini, S., Segou, M., Werner, M. J., Parons, T., Beroza, G., & Chiaraluce, L. (2022). On the Use of High-Resolution and Deep-Learning Seismic Catalogs for Short-Term Earthquake Forecasts: Potential Benefits and Current Limitations. Journal of Geophysical Research: Solid Earth, 127, e2022JB025202.

Serafini, F., Naylor, M., Lindgren, F., Werner, M. J., & Main, I. G. (2022). Ranking earthquake forecasts using proper scoring rules: binary events in a low probability environment. Geophysical Journal International 230(2), 1419-1440,

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.,

Bayona, J. A., Savran, W. H., Rhoades, D. A., & Werner, M. J. (2022). Prospective evaluation of multiplicative hybrid earthquake forecasting models in California. Geophysical Journal International, 229(3), 1736-1753,

Savran, W., Werner, M., Schorlemmer, D., and Maechling, P. (2022). pyCSEP: A Python Toolkit For Earthquake Forecast Developers, Journal of Open Source Software, 7(69), 3658,


Mancini, S., M. J. Werner, M. Segou, and B. Baptie (2021). Probabilistic Forecasting of Hydraulic Fracturing‐Induced Seismicity Using an Injection‐Rate Driven ETAS Model, Seismological Research Letters 92 3471-3481.


Bayona, J. A., W. Savran, A. Strader, S. Hainzl, F. Cotton, and D. Schorlemmer (2020). Two global ensemble seismicity models obtained from the combination of interseismic strain measurements and earthquake-catalogue information, Geophysical Journal International, 224, 1945-1955.

Savran, W. H., Werner, M. J., Marzocchi, W., Rhoades, D. A., Jackson, D. D., Milner, K., Field, E., Michael, A. (2020). Pseudoprospective Evaluation of UCERF3-ETAS Forecasts during the 2019 Ridgecrest Sequence. Bulletin of the Seismological Society of America, 110(4), 1799-1817. https://doi:10.1785/0120200026

Mancini, S., Segou, M., Werner, M. J., & Parsons, T. (2020). The Predictive Skills of Elastic Coulomb Rate-and-State Aftershock Forecasts during the 2019 Ridgecrest, California, Earthquake Sequence. Bulletin of the Seismological Society of America, 110(4), 1736-1751. https://doi:10.1785/0120200028


Mancini, S., Segou, M., Werner, M. J., & Cattania, C. (2019). Improving physics‐based aftershock forecasts during the 2016–2017 Central Italy Earthquake Cascade. Journal of Geophysical Research: Solid Earth, 124 (8), 8626-8643


pyCSEP v0.6.0 is now available on PyPI and conda-forge. Visit the GitHub page for more information.

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