query: Multivariate Gaussian distribution explanation needed
positive_passages.docid: 19244
positive_passages.text: Covariance of a random vector after a linear transformation
negative_passages.docid: 153314
negative_passages.text: Multiple Regression, Normal distribution and Normalization
negative_passages.docid: 80430
negative_passages.text: What is the distribution of the sum of non i.i.d. gaussian variates?
negative_passages.docid: 66771
negative_passages.text: How to simulate from a Gaussian copula?
negative_passages.docid: 4702
negative_passages.text: Is it possible to have a pair of Gaussian random variables for which the joint distribution is not Gaussian?
negative_passages.docid: 13960
negative_passages.text: Intuition for why sum of gaussian RVs is different from gaussian mixture
negative_passages.docid: 26252
negative_passages.text: Expectation, Variance and Correlation of a bivariate Lognormal distribution
negative_passages.docid: 63222
negative_passages.text: Expectation of the maximum of gaussian random variables
negative_passages.docid: 45492
negative_passages.text: Using Joint Distributions and conditional probabilities
negative_passages.docid: 129253
negative_passages.text: Meaning of syntax $N(\mathbf{y} \mid \mathbf{0}, \mathbf{K})$ (multivariate normal distribution)
negative_passages.docid: 79525
negative_passages.text: How to compute the marginal likelihood given two multivariate Normal distribution?
negative_passages.docid: 125522
negative_passages.text: Laplace transform of inverse gaussian distribution
negative_passages.docid: 140222
negative_passages.text: Correlation multinomial distribution
negative_passages.docid: 117207
negative_passages.text: The distribution of the product of Gaussian variable and Rademacher variable.
negative_passages.docid: 77307
negative_passages.text: Why does inversion of a covariance matrix yield partial correlations between random variables?
negative_passages.docid: 73131
negative_passages.text: Derivation of the gaussian integral
negative_passages.docid: 25148
negative_passages.text: Deriving the bivariate Poisson distribution