Reproducing the prospective evaluation of multiplicative hybrid earthquake forecasting models in California

Jose A Bayona; William H Savran; David A Rhoades; Max Werner

Reproducing the prospective evaluation of multiplicative hybrid earthquake forecasting models in California

Jose A Bayona^*, William H Savran, David A Rhoades, Max Werner

^*Corresponding author for this work

Research output: Other contribution

Abstract

This repository provides data and code to reproduce prospective test results for six RELM and sixteen multiplicative hybrid earthquake forecasting models for California, reported by Bayona et al. (2022). This experiment takes about 2 hours on a modern desktop computer if the number of simulations per forecast and per test (expect for the Poisson and NBD N-tests) is set to 1000.

Original language	English
Type	Software reproducibility package
Media of output	GitHub and Zenodo
Publication status	Published - 18 Jan 2022

Keywords

Software development
Reproducibility of results
Earthquake interaction, forecasting, and prediction
Statistical seismology
Probabilistic forecasting

Access to Document

https://github.com/bayonato89/Reproducibility-hybrids

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Cite this

@misc{945a1dfca66846388dc51f651e6a3704,

title = "Reproducing the prospective evaluation of multiplicative hybrid earthquake forecasting models in California",

abstract = "This repository provides data and code to reproduce prospective test results for six RELM and sixteen multiplicative hybrid earthquake forecasting models for California, reported by Bayona et al. (2022). This experiment takes about 2 hours on a modern desktop computer if the number of simulations per forecast and per test (expect for the Poisson and NBD N-tests) is set to 1000.",

keywords = "Software development, Reproducibility of results, Earthquake interaction, forecasting, and prediction, Statistical seismology, Probabilistic forecasting",

author = "Bayona, {Jose A} and Savran, {William H} and Rhoades, {David A} and Max Werner",

year = "2022",

month = jan,

day = "18",

language = "English",

type = "Other",

}

TY - GEN

T1 - Reproducing the prospective evaluation of multiplicative hybrid earthquake forecasting models in California

AU - Bayona, Jose A

AU - Savran, William H

AU - Rhoades, David A

AU - Werner, Max

PY - 2022/1/18

Y1 - 2022/1/18

N2 - This repository provides data and code to reproduce prospective test results for six RELM and sixteen multiplicative hybrid earthquake forecasting models for California, reported by Bayona et al. (2022). This experiment takes about 2 hours on a modern desktop computer if the number of simulations per forecast and per test (expect for the Poisson and NBD N-tests) is set to 1000.

AB - This repository provides data and code to reproduce prospective test results for six RELM and sixteen multiplicative hybrid earthquake forecasting models for California, reported by Bayona et al. (2022). This experiment takes about 2 hours on a modern desktop computer if the number of simulations per forecast and per test (expect for the Poisson and NBD N-tests) is set to 1000.

KW - Software development

KW - Reproducibility of results

KW - Earthquake interaction, forecasting, and prediction

KW - Statistical seismology

KW - Probabilistic forecasting

UR - https://zenodo.org/record/5141567#.YegDwFmnzb0

M3 - Other contribution

ER -

Reproducing the prospective evaluation of multiplicative hybrid earthquake forecasting models in California

Abstract

Keywords

Access to Document

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Prospective evaluation of multiplicative hybrid earthquake forecasting models in California

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