Bias analysis in entropy estimation

We consider the problem of finite sample corrections for entropy estimation. New estimates of the Shannon entropy are proposed and their systematic error (the bias) is computed analytically. We find that our results cover correction formulae of current entropy estimates recently discussed in the literature. The trade-off between bias reduction and the increase of the corresponding statistical error is analysed.