Longitudinal data analysis is an essential statistical approach for studying phenomena observed repeatedly over time, allowing researchers to explore both within-subject and between-subject variations ...

In this paper we describe the use of hybrid dynamic Bayesian networks (HDBNs) to model the operational risk faced by financial institutions in terms of economic capital. We describe a methodology for ...

Background: Understanding how different modeling strategies affect associations in nutritional epidemiology is critical, especially given the temporal complexity of dietary and health data. Objective: ...

Abstract: The article introduces multidimensional Bayesian networks (MBNs), an advanced extension of traditional Bayesian networks (BNs) and object-oriented BNs (OOBNs). OOBNs effectively modularize ...

Abstract: Aiming at the complex dynamic characteristics of nonlinear, large time delay and multivariable strong coupling in the firing process of cement rotary kiln and the insufficient accuracy of ...