A computationally efficient method of updating the estimates of the time-dependent parameters of a multiple regression model as successive values in the time series of values of the dependent variable (see regression) become available. Exponential smoothing provides an extremely simple example of the recursive calculations involved. The procedure was introduced by Kalman in 1960.