In response to the problems of weak timeliness and large errors in traditional algorithms in complex scenes, a Bayesian based multi-target tracking model (BFMTT) was designed by introducing the theory ...

This paper presents a Bayesian method to infer parameters in distribution system power flow models from noisy measurements of voltage magnitudes and phase angles along with active- and reactive-power ...

Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...