@inproceedings{541c945754084d1389e254555c04bfb4,
title = "Estimating Entropy",
abstract = "Entropy estimation, which plays a central role in the analysis of biological data is discussed. Small improvements in estimates of relative entropy can yield significant rewards in the quality of sequence alignments. Estimation must be carried out in a regime where the possibilities are not exhausted by the data. It is found that within a Bayesian approach, the best possible estimates based on the data can be made by using a uniform entropic prior- one that reflects minimal a priori assumptions about the entropy.",
author = "William Bialek and Jonathan Miller",
year = "2002",
language = "English (US)",
isbn = "0970789017",
series = "Proceedings of the Joint Conference on Information Sciences",
pages = "1281",
editor = "J.H. Caulfield and S.H. Chen and H.D. Cheng and R. Duro and J.H. Caufield and S.H. Chen and H.D. Cheng and R. Duro and V. Honavar",
booktitle = "Proceedings of the 6th Joint Conference on Information Sciences, JCIS 2002",
note = "Proceedings of the 6th Joint Conference on Information Sciences, JCIS 2002 ; Conference date: 08-03-2002 Through 13-03-2002",
}