 From the perspective described above, this can be thought of as the probability distribution over hidden states for a point in time "k" in the past, relative to time "t".The forward-backward algorithm is a good method for computing the smoothed values for all hidden state variables.The task, unlike the previous two, asks about the joint probability of the "entire" sequence of hidden states that generated a particular sequence of observations (see illustration on the right).