Quantifying Community Resilience Using Hierarchical Bayesian Kernel Methods: A Case Study on Recovery from Power Outages-Reference-Cited by-同舟云学术

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Quantifying Community Resilience Using Hierarchical Bayesian Kernel Methods: A Case Study on Recovery from Power Outages

Published:2019-07-09 Issue:9 Volume:39 Page:1930-1948
ISSN:0272-4332
Container-title:Risk Analysis
language:en
Short-container-title:Risk Analysis

Author:

Yu Jin‐Zhu¹^ORCID,Baroud Hiba¹²^ORCID

Affiliation:

1. Department of Civil and Environmental Engineering Vanderbilt University Nashville TN USA

2. Department of Earth and Environmental Sciences Vanderbilt University Nashville TN USA

Funder

National Science Foundation

Division of Civil, Mechanical and Manufacturing Innovation

Publisher

Wiley

Subject

Physiology (medical),Safety, Risk, Reliability and Quality

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/risa.13343

Reference34 articles.

1. Statistical modelling of railway track geometry degradation using Hierarchical Bayesian models

2. Proactive Recovery of Electric Power Assets for Resiliency Enhancement

3. A Bayesian kernel approach to modeling resilience-based network component importance

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