Motif Discovery and Statistical Analysis Scribe notes for CS284A
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چکیده
where K is a random variable from 0 to N , and k is a particular value of K. Variance is defined as a measure of statistical dispersion [2], essentially measuring how far out from the mean observed results go. It is given by σ = E[(k − μ)] = E[k]− μ (2) For any known distribution, the generating function is G(s) = E[S ] (3) whereG is the function and s is a variable. Therefore, S {S, S, S, ..., S}, corresponding to K = {0, 1, 2, ..., N}. This moment generating function works for all discrete distributions. It has a number of very interesting properties. For example,
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