Patent ID: 8068993

Claim:
A computer-implemented method of processing test data, comprising: determining, by a computer specifically programmed therefor, a set of posterior test-conditional probability density functions (pdf) p(H k |x) for a set H of hypotheses relating to a set X of test data conditioned on the test data based on (i) an estimate for one or more hypothesis-conditional pdf p(x|H k ) for the test data conditioned on the hypotheses and (ii) a set of prior pdf p(H k ) for each hypothesis; wherein the p(x|H k ) estimates include (a) a global estimate produced in accordance with uncertainties in the statistical characteristics of the test data relating to each hypothesis-conditional pdf p(x|H k ) and (b) a local estimate produced in accordance with a discrete neighbor counting process for the test data relative to the global estimate for the corresponding hypothesis-conditional pdf.