A) The Laplace distribution and the asymmetric Laplace distribution to multiple variables B) Only the standard Laplace distribution C) Univariate uniform distributions D) The normal distribution to multiple variables
A) Uniform distributions B) Laplace distributions C) Normal distributions D) Asymmetric Laplace distributions
A) Symmetric Laplace distributions B) Asymmetric Laplace distributions C) Standard normal distributions D) Exponential distributions
A) The covariance matrix B) The standard deviation vector C) The correlation coefficient D) The vector of means for each variable
A) The dimension parameter B) The modified Bessel function C) The vector of means D) The covariance matrix
A) They are not independent B) They become uniformly distributed C) They are independent D) They have zero variance
A) It is linear B) It is spherical only C) It is rectangular D) It is elliptical
A) The correlation coefficient B) The mean vector C) The dimension of the distribution D) The standard deviation
A) The gamma function B) The modified Bessel function of the second kind C) The standard normal cumulative distribution function D) The characteristic function
A) mu B) Sigma C) One D) Zero
A) Sigma squared B) Sigma C) mu' mu D) Sigma + mu' mu
A) Sigma = 0 B) mu = 1 C) Sigma = mu D) mu = 0
A) Sigma B) v C) k D) mu
A) sqrt(W) * Y + W * mu B) W * Y + mu C) W * sqrt(Y) + W * mu D) sqrt(W * Y) + mu
A) Y B) k C) v D) W |