In the ever-evolving toolkit of statistical analysis techniques, Bayesian statistics has emerged as a popular and powerful methodology for making decisions from data in the applied sciences. Bayesian ...

Conjugate priors simplify Bayesian inference, as the posterior distribution is of the same form as the prior. In the case of a **binomial likelihood**, a **beta prior is conjugate**. This means that, ...

Abstract: Bayesian networks (BNs) have proven to be an effective model for representing and inferring uncertain knowledge in the field of equipment fault diagnosis. However, as the scale of BNs ...

Abstract: The steam heating network (SHN) serves as a critical component of the integrated energy system (IES), where precise transient characterization is essential for enhancing IES flexibility and ...