State estimation (SE) in water distribution networks (WDNs), the problem of estimating all unknown network heads and flows given select measurements, is challenging due to nonconvexity hydraulic models significant uncertainty from demands, parameters, measurements. To this end, a probabilistic modeling for SE WDNs proposed. After linearizing nonlinear WDN model, proposed (PSE) shows that covari...