Bayesian Monte Carlo approach for developing stochastic railway track degradation model using expert-based priors

Research article (Structure and Infrastructure Engineering, 2020) · cited 19× · AI/ML
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Bayesian Monte Carlo approach for developing stochastic railway track degradation model using expert-based priors

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Bayesian Monte Carlo approach for developing stochastic railway track degradation model using expert-based priors is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Bayesian Monte Carlo approach for developing stochastic railway track degradation model using expert-based priors. Retrieved May 24, 2026, from https://4ort.xyz/entity/bayesian-monte-carlo-approach-for-developing-stochastic-railway-track-degradation-model-using-expert-based-priors
MLA “Bayesian Monte Carlo approach for developing stochastic railway track degradation model using expert-based priors.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/bayesian-monte-carlo-approach-for-developing-stochastic-railway-track-degradation-model-using-expert-based-priors.
BibTeX @misc{4ortxyz_bayesian-monte-carlo-approach-for-developing-stochastic-railway-track-degradation-model-using-expert-based-priors_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Bayesian Monte Carlo approach for developing stochastic railway track degradation model using expert-based priors}}, year = {2026}, url = {https://4ort.xyz/entity/bayesian-monte-carlo-approach-for-developing-stochastic-railway-track-degradation-model-using-expert-based-priors}, note = {Accessed: 2026-05-24}}
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