# Multivariate#

 `MvNormal`(name, *args[, rng, dims, initval, ...]) Multivariate normal log-likelihood. `MvStudentT`(name, *args[, rng, dims, ...]) Multivariate Student-T log-likelihood. `ZeroSumNormal`(*args[, zerosum_axes, ...]) ZeroSumNormal distribution, i.e Normal distribution where one or several axes are constrained to sum to zero. `Dirichlet`(name, *args[, rng, dims, initval, ...]) Dirichlet log-likelihood. `Multinomial`(name, *args, **kwargs) Multinomial log-likelihood. `DirichletMultinomial`(name, *args, **kwargs) Dirichlet Multinomial log-likelihood. `OrderedMultinomial`(name, *args[, compute_p]) Wrapper class for Ordered Multinomial distributions. `Wishart`(name, *args[, rng, dims, initval, ...]) Wishart log-likelihood. `WishartBartlett`(name, S, nu[, is_cholesky, ...]) Bartlett decomposition of the Wishart distribution. `LKJCorr`(name, *args[, rng, dims, initval, ...]) The LKJ (Lewandowski, Kurowicka and Joe) log-likelihood. `LKJCholeskyCov`(name, eta, n, sd_dist, *[, ...]) Wrapper class for covariance matrix with LKJ distributed correlations. `MatrixNormal`(name, *args[, rng, dims, ...]) Matrix-valued normal log-likelihood. `KroneckerNormal`(name, *args[, rng, dims, ...]) Multivariate normal log-likelihood with Kronecker-structured covariance. `CAR`(name, *args[, rng, dims, initval, ...]) Likelihood for a conditional autoregression. `StickBreakingWeights`(name, *args[, rng, ...]) Likelihood of truncated stick-breaking weights.