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ICASSP
2008
IEEE
14 years 1 months ago
Minimum mean bayes risk error quantization of prior probabilities
Bayesian hypothesis testing is investigated when the prior probabilities of the hypotheses, taken as a random vector, must be quantized. Nearest neighbor and centroid conditions f...
Kush R. Varshney, Lav R. Varshney
CORR
2008
Springer
106views Education» more  CORR 2008»
13 years 7 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 c...
Kush R. Varshney, Lav R. Varshney
NECO
2011
13 years 1 months ago
Least Squares Estimation Without Priors or Supervision
Selection of an optimal estimator typically relies on either supervised training samples (pairs of measurements and their associated true values), or a prior probability model for...
Martin Raphan, Eero P. Simoncelli