theory and statistics, the multivariate normal distribution, multivariate Gaussian distribution, or joint normal distribution is a generalization of the...
65 KB (9,519 words) - 19:47, 3 October 2024
logistic distributions). (For other names, see Naming.) The univariate probability distribution is generalized for vectors in the multivariate normal distribution...
150 KB (22,488 words) - 15:23, 12 October 2024
matrix normal distribution or matrix Gaussian distribution is a probability distribution that is a generalization of the multivariate normal distribution to...
10 KB (1,667 words) - 23:34, 30 October 2022
elliptical distribution is any member of a broad family of probability distributions that generalize the multivariate normal distribution. Intuitively...
15 KB (1,751 words) - 18:03, 19 August 2024
In statistics, the multivariate t-distribution (or multivariate Student distribution) is a multivariate probability distribution. It is a generalization...
31 KB (5,718 words) - 10:45, 19 October 2024
modern, overlapping categorization of MVA includes: Normal and general multivariate models and distribution theory The study and measurement of relationships...
17 KB (1,859 words) - 17:39, 19 February 2024
theory and statistics, the normal-inverse-Wishart distribution (or Gaussian-inverse-Wishart distribution) is a multivariate four-parameter family of continuous...
8 KB (1,076 words) - 11:24, 13 November 2023
of probability, multivariate Laplace distributions are extensions of the Laplace distribution and the asymmetric Laplace distribution to multiple variables...
9 KB (1,090 words) - 00:54, 23 August 2024
the normal-Wishart distribution (or Gaussian-Wishart distribution) is a multivariate four-parameter family of continuous probability distributions. It...
5 KB (560 words) - 20:05, 24 April 2023
Bayesian statistics, the Wishart distribution is the conjugate prior of the inverse covariance-matrix of a multivariate-normal random-vector. Suppose G is...
27 KB (4,206 words) - 14:22, 29 October 2024