Straightforward bias updating procedures for online adjustment of soft sensors (SS) are of interest for industrial processes in which quality or production variables cannot be measured online. This work proposes a Bayesian ...

The model updating of the electro-mechanical properties of Piezoelectric Energy Harvesters (PEHs) using experimental data within a Bayesian inference setting is discussed. The implementation requires: a predictive model ...

A Bayesian system identification technique is proposed for detection-related problems in the context of water distribution networks. The identification process is combined with a hydraulic simulation model for performing ...

We develop a general equilibrium asset pricing model under incomplete information and rational learning in order to understand the unexplained predictability of option prices. In our model, the fundamental dividend growth ...

This work explores the feasibility of integrating an adaptive meta-model into a finite element model updating formulation using dynamic response data. A Bayesian model updating approach based on a stochastic simulation ...

Here, I investigate the use of Bayesian updating rules applied to modeling how social agents change their minds in the case of continuous opinion models. Given another agent statement about the continuous value of a variable, ...