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- ...of two events A and b in ''F''. We will now use that definition to define independence of random variables X and Y. There is an alternative definition of independence for random variables that is often used. We will show that X and Y are inde2 KB (449 words) - 12:12, 21 May 2014
- ...covariance matrix is diagonal. In the Gaussian case, this is equivalent to independence since we can express the joint pdf of the components of '''Y''' as a produc17 KB (2,603 words) - 10:38, 22 January 2015
- ...\left ( \frac{1}{j V_j} \phi(\frac{x_l - x_0}{h_j}) \right ) </math>, by independence of <math>x_l</math>'s12 KB (2,086 words) - 10:54, 22 January 2015
- *Observation: By independence, <math>\rho(D|\theta)=\rho(x_1,x_2,...,x_N|\theta)</math> = <math>\prod\lim11 KB (2,046 words) - 10:51, 22 January 2015