A Bayesian Updating Applied to Earthquake Ground-Motion Prediction Equations for Iran

This article presents new ground-motion prediction equations for three distinct seismic regions of Iran via updating the previous global model using observed data for each region by means of Bayesian updating

Mohammad Sadegh Shahidzadeh; Azad Yazdani

2016

Key concepts

Scholarcy highlights

  • This article presents new ground-motion prediction equations for three distinct seismic regions of Iran via updating the previous global model using observed data for each region by means of Bayesian updating
  • it results in more accurate results
  • This leads the way for updating global models to obtain new local models for seismotectonic regions
  • The proposed updated model was compared against currently available models for Iran

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