Welford's online algorithm for computing weighted mean is essentially just Kalman filtering: Weights are the inverse of measurement covariance, i.e. the informa

Welford's online algorithm for computing weighted mean is essentially just Kalman filtering: Weights are the inverse of measurement covariance, i.e. the information, the initial state is the first measurement, state transition and observation model are 1x1 identity matrices.