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X ~ Normal(#, 02), the pdf is f(x) = = 1 exp - (2-1)? 202 - 00 X Normal(, 02), the pdf is f(x) =
X ~ Normal(#, 02), the pdf is f(x) = = 1 exp - (2-1)? 202 - 00
X Normal(, 02), the pdf is f(x) = Aexp In p-dimensions, we write , oo < < oo Normalp(g, P) where = and all 021 apl with density 012 022 ap2 alp O'2p app 1 exp i (E (27) 2 2 Given p=2, get the variance-covariance matrix inverse , its determinant , and x
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