Our paper “Hierarchical stochastic model in bayesian inference for engineering applications: theoretical implications and efficient approximation” has been selected to receive the Editor’s Award for the Best Paper published in 2018

Our paper “Hierarchical stochastic model in bayesian inference for engineering applications: theoretical implications and efficient approximation” has been selected to receive the Editor’s Award for the Best Paper published in 2018

Our paper “Hierarchical stochastic model in bayesian inference for engineering applications: theoretical implications and efficient approximation” [PDF] in the ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering has been selected to receive the Editor’s Award for the Best Paper published in 2018.

The award will be presented to the authors in attendance at the ASME Safety Engineering and Risk Analysis Division (SERAD) award reception meeting at the International Mechanical Engineering Congress & Exposition (IMECE) during the period November 11-13, 2019 in Salt Lake City, Utah.

Categories: News