A comprehensive review of Bayesian statistics in natural hazards engineering

This study conducts a comprehensive review of the promises and challenges of implementing Bayesian statistics in natural hazards engineering

Ye Zheng

2021

Scholarcy highlights

  • This study conducts a comprehensive review of the promises and challenges of implementing Bayesian statistics in natural hazards engineering
  • The existing research in natural hazards engineering is benefited by leveraging Bayesian statistics to handle uncertainties explicitly and deal with large-scale problems that involve different types of data inputs
  • The substantial computational cost and the determination of prior probability distributions are two major challenges bottlenecking the future development of Bayesian statistics
  • Bayesian approaches offer more transparent model inference and exhibit different abilities to avoid data over fitting. This reviewed work can serve as a sound reference for interested practitioners and researchers to practice, develop, and promote broader and more in-depth Bayesian advances in solving grand challenges in natural hazards engineering

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