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CORR
2008
Springer

Quantization of Prior Probabilities for Hypothesis Testing

13 years 11 months ago
Quantization of Prior Probabilities for Hypothesis Testing
Abstract--In this paper, 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 (MBRE) 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.
Kush R. Varshney, Lav R. Varshney
Added 09 Dec 2010
Updated 09 Dec 2010
Type Journal
Year 2008
Where CORR
Authors Kush R. Varshney, Lav R. Varshney
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