From: <Qu...@my...> - 2002-05-21 17:47:44
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> introduce importance sampling a posteriori. Instead, we should sample from > a distribution F(x) = G(x)H(x), where H(x) expresses the bias, and give > each sample x_i a weight 1/H(x_i). One way of looking at it is as a tilted distribution, with the mean shifted,and F(x) = G(x) * H(x) where H(x) = rand(0,1)/rand(t,1) where t is some constant by which you are shifting the mean. Kris |