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THE CONVERGENCE RATES OF ASYMPTOTICALLY BAYES DISCRIMINATION
Wei Laisheng
Acta mathematica scientia,Series A. 1985, 5 (1):
99-110.
Let (X,θ), (X1, θ1), …, (Xn, θn) be Rd×{0, 1} valued independent identically distributed (iid) random variables (r. v.), with P (θ=1)=p1 and P(θ=0)=p0=1-p1. Let the conditional density function of X given θ=i be fi(x)dx, i=0, 1. (X1, θ1), …, (Xn, θn) are known samples called trainning samples usually. In practice we are asked to decide the value of θ based on the observation of Xi(i=l, 2,…,n)with the aid of these trainning samples.
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