%0 Journal Article %T Quantization of Prior Probabilities for Hypothesis Testing %A Kush R. Varshney %A Lav R. Varshney %J Mathematics %D 2008 %I arXiv %R 10.1109/TSP.2008.928164 %X 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. %U http://arxiv.org/abs/0805.4338v1