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Covariance is a quantity used to measure the strength and direction of the linear relationship between two variables. The covariance is unscaled, & thus often difficult to interpret; when scaled by the variables' SDs, it becomes Pearson's correlation coefficient.

3 votes
1 answer
515 views

Confusion related to marginal precision

I was reading this book where it was mentioned that if my gaussian distribution has unit marginal precision, the covariance matrix equals the correlation matrix. I didn't quite get it. …
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2 votes
0 answers
68 views

Confusion related to the derivation of a dual of a problem

I have this confusion related to the derivation of the dual. I was referring to these lecture slides. I didn't get how the dual was derived. I didn't get how the dual was derived. I am ok up to the p …
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