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Adaptive Importance Sampling PSHA

This repository provides Python code to calculate Probabilistic Seismic Hazard Analysis using Adaptive Importance Sampling. Further documentation can be found in the following paper:

Houng, S. E., and Ceferino, L. (2025). “Fast Probabilistic Seismic Hazard Analysis through Adaptive Importance Sampling”, BSSA, https://doi.org/10.1785/0120240153 (Accepted in BSSA, Jan. 2025).

Test_PEER1_11.py: Solve for PSHA problem of Test 1.11, Site 1 of Hale et al. (2018).

References

Houng, S. E., and Ceferino, L. (2025). “Fast Probabilistic Seismic Hazard Analysis through Adaptive Importance Sampling”, https://doi.org/10.1785/0120240153 (Accepted in BSSA, Jan. 2025).

Hale, C., Abrahamson, N., & Bozorgnia, Y. (2018). Probabilistic Seismic Hazard Analysis Code Verification, PEER Report 2018-03. Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA. https://doi.org/10.55461/KJZH2652

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Python code to compute PSHA using Adaptive Importance Sampling

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