Originally posted by sdriscoll
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I read their papers and supplementary to calculate the JS metric and pvalue and find that it seems not easy to estimate the distribution of the JS metric.
1. First, based on the delta method, the variance of the JS metric is calculated based on the partial derivatives of the JS(P1,P2) evaluated on the mean of the P1 and P2. However, how to calculate the mean of P1 and P2? Using the sample mean?
2. second, the variance of JS metric also relate to the variance of P1 and P2, covariance of P1 and P2, how to get such kind of information?
Could u give me some hints?
Thanks a lot.
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