%0 Journal Article %1 schurmann2004analysis %A Schürmann, Thomas %D 2004 %K analysis bayesian bias entropy %R 10.1088/0305-4470/37/27/L02 %T Bias Analysis in Entropy Estimation %U http://arxiv.org/abs/cond-mat/0403192 %X 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 formulas of current entropy estimates recently discussed in literature. The trade-off between bias reduction and the increase of the corresponding statistical error is analyzed.

@article{schurmann2004analysis, abstract = {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 formulas of current entropy estimates recently discussed in literature. The trade-off between bias reduction and the increase of the corresponding statistical error is analyzed.}, added-at = {2020-03-15T18:56:12.000+0100}, author = {Schürmann, Thomas}, biburl = {https://www.bibsonomy.org/bibtex/25e07e4002d07055816a352c6462b2d91/kirk86}, description = {[cond-mat/0403192] Bias Analysis in Entropy Estimation}, doi = {10.1088/0305-4470/37/27/L02}, interhash = {5a13808a3914c1716962b60e580785be}, intrahash = {5e07e4002d07055816a352c6462b2d91}, keywords = {analysis bayesian bias entropy}, note = {cite arxiv:cond-mat/0403192Comment: 5 pages, 3 figures}, timestamp = {2020-03-15T18:56:12.000+0100}, title = {Bias Analysis in Entropy Estimation}, url = {http://arxiv.org/abs/cond-mat/0403192}, year = 2004 }