Quantization of Prior Probabilities for Hypothesis Testing

Details Quantization of Prior Probabilities for Hypothesis Testing Quantization of Prior Probabilities for Hypothesis Testing

2008-05-28

arxiv.org/abs/0805.4338v1

IEEE Transactions on Signal Processing, vol. 56, no. 10, October 2008, p. 4553-4562

Computer Science

Information Theory

Scientific paper

10.1109/TSP.2008.928164

Bayesian hypothesis testing is investigated when the prior probabilities of the hypotheses, taken as a random vector, are quantized. Nearest neighbor and centroid conditions are derived using mean Bayes risk error as a distortion measure for quantization. A high-resolution approximation to the distortion-rate function is also obtained. Human decision making in segregated populations is studied assuming Bayesian hypothesis testing with quantized priors.

Affiliated with

Also associated with

No associations

Rating

Quantization of Prior Probabilities for Hypothesis Testing 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 Quantization of Prior Probabilities for Hypothesis Testing, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Quantization of Prior Probabilities for Hypothesis Testing will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-416463