There is a trade-off in the choice of P n : the closer P n is to the data distribution, the lower is the estimation error; however the Zipfian distribution of word frequencies implies too few updates for rare words if P n is the usual unigram distribution.
p n is often distorted into p α n , with a parameter 0 ≤ α ≤ 1.