Bayes' theorem is a statistical formula used to calculate conditional probability. Learn how it works, how to calculate it ...
Abstract: Stochastic uncertainty, comprising both aleatory and epistemic uncertainties, is intrinsic in the distributed generation (DG). However, existing distribution system state estimation (DSSE) ...
Abstract: Perhaps the most recent controversial topic in network science research is to determine whether real-world complex networks are scale-free or not. Recently, Broido and Clauset [A.D. Broido, ...
Prior elicitation refers to the process of transforming the knowledge of a particular domain into well-defined probability distributions. Specifying useful priors is a central aspect of Bayesian ...
The growth of urban landscapes has genarally reduced biodiversity worldwide. Invertebrates have explored different environments, and it usually takes different sampling techniques to get a ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results