On Shannon-Jaynes Entropy and Fisher Information

Details On Shannon-Jaynes Entropy and Fisher Information On Shannon-Jaynes Entropy and Fisher Information

2007-08-21

arxiv.org/abs/0708.2879v1

Physics

Data Analysis, Statistics and Probability

Presented at the 27th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Sar

Scientific paper

10.1063/1.2821257

The fundamentals of the Maximum Entropy principle as a rule for assigning and updating probabilities are revisited. The Shannon-Jaynes relative entropy is vindicated as the optimal criterion for use with an updating rule. A constructive rule is justified which assigns the probabilities least sensitive to coarse-graining. The implications of these developments for interpreting physics laws as rules of inference upon incomplete information are briefly discussed.

Affiliated with

Also associated with

No associations

Rating

On Shannon-Jaynes Entropy and Fisher Information does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with On Shannon-Jaynes Entropy and Fisher Information, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and On Shannon-Jaynes Entropy and Fisher Information will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-367431