Bayesian Probabilistic Inference for Nonparametric Damage Detection of Structures

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Big Data in the construction industry: A review of present status, opportunities, and future trends (2016, methodology): “Examples of construction research using statistics: The industry is employing statistical methods in a variety of application areas, such as identifying causes of construction delays [24], learning from post-project reviews (PPRs) [25], decision support for construction litigation [26], detecting st”
The promise of implementing machine learning in earthquake engineering: A state-of-the-art review (2020, methodology): “Similar studies have considered using innovative metrics such as Bayes factors, natural modes, and coefficients of autoregressive models for damage detection (De Lautour and Omenzetter, 2010; Gonza´lez and Zapico, 2008; Jiang and Adeli, 2007; Jiang and Mahadevan, 2008).”