Generalized Bayesian predictive density operators

Details Generalized Bayesian predictive density operators Generalized Bayesian predictive density operators

2006-02-07

arxiv.org/abs/quant-ph/0602072v1

Physics

Quantum Physics

9 pages

Scientific paper

Recently the quantum Bayesian prediction problem was formulated by Tanaka and Komaki (2005). It is shown that Bayesian predictive density operators are the best predictive density operators when we evaluate them by using the averaged quantum relative entropy based on a prior distribution. In the present paper, we adopt the quantum alpha-divergence as a wider class of loss function. The generalized Bayesian predictive density operator is defined and shown to be best among all the estimates of the unknown density operator.

Affiliated with

Also associated with

No associations

Rating

Generalized Bayesian predictive density operators 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 Generalized Bayesian predictive density operators, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Generalized Bayesian predictive density operators will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-63599