
tmg
 Referenced in 18 articles
[sw39813]
 Monte Carlo algorithm to sample from multivariate Gaussian distributions in which the target space...

gss
 Referenced in 293 articles
[sw06099]
 regression with Gaussian and nonGaussian responses as well as with censored life time data ... penalized likelihood method and the construction of multivariate models with builtin ANOVA decompositions. Extensive ... PLUS language. Code for regression has been distributed in the R package gss freely available...

MCMC
 Referenced in 8 articles
[sw03488]
 MetropolisHastings MCMC chain using multivariate Gaussian proposal distribution. The covariance matrix of the proposal...

ghyp
 Referenced in 26 articles
[sw08162]
 multivariate Generalized Hyperbolic distribution and its special cases (Hyperbolic (hyp), Normal Inverse Gaussian (NIG), Variance...

DSSIMHR
 Referenced in 4 articles
[sw31913]
 transformed to follow a Gaussian distribution and the entire multivariate distribution is then assumed...

PaDiM
 Referenced in 1 article
[sw41239]
 present a new framework for Patch Distribution Modeling, PaDiM, to concurrently detect and localize anomalies ... patch embedding, and of multivariate Gaussian distributions to get a probabilistic representation of the normal...

GaussianMixtures
 Referenced in 2 articles
[sw32979]
 Models (GMMs). This package contains support for Gaussian Mixture Models. Basic training, likelihood calculation, model ... deals only with normal (multivariate) distributions (a.k.a Gaussians), but it does so more efficiently, hopefully...

BPEC
 Referenced in 1 article
[sw21018]
 migrations occur. Within each cluster, a multivariate Gaussian distribution of the covariates (geographical, environmental, phenotypic...

COMA
 Referenced in 1 article
[sw36369]
 diverse realistic 3D faces from a multivariate Gaussian distribution. Our training data consists...

GPflux
 Referenced in 1 article
[sw38081]
 subtleties that arise when dealing with multivariate Gaussian distributions and the complex bookkeeping of indices...

longclust
 Referenced in 2 articles
[sw20487]
 based on a mixture of multivariate t or Gaussian distributions with a Choleskydecomposed covariance...

goft
 Referenced in 4 articles
[sw32717]
 gamma, inverse Gaussian, lognormal, ’Weibull’, ’Frechet’, Gumbel, normal, multivariate normal, Cauchy, Laplace or double ... exponential, exponential and generalized Pareto distributions. Parameter estimators for gamma, inverse Gaussian and generalized Pareto...

CARBayes
 Referenced in 14 articles
[sw15288]
 Data. Implements a class of univariate and multivariate spatial generalised linear mixed models for areal ... simulation. The response variable can be binomial, Gaussian or Poisson. Spatial autocorrelation is modelled ... assigned a conditional autoregressive (CAR) prior distribution. A number of different CAR priors are available ... random effects, including a multivariate CAR (MCAR) model for multivariate spatial data. Full details...

parfm
 Referenced in 12 articles
[sw19053]
 gamma, inverse Gaussian, and positive stable frailty distributions can be specified, together with five different ... lefttruncated data. In the multivariate setting, the inverse Gaussian may encounter numerical difficulties with...

bfa
 Referenced in 25 articles
[sw07430]
 widely useful for parsimoniously characterizing dependence in multivariate data. There is rich literature on their ... mixed categorical and continuous variables, using latent Gaussian variables or through generalized latent trait models ... exponential family. However, when generalizing to nonGaussian measured variables, the latent variables typically influence ... structure and the form of the marginal distributions, complicating interpretation and introducing artifacts. To address...

sbgcop
 Referenced in 5 articles
[sw11945]
 estimates parameters of a Gaussian copula, treating the univariate marginal distributions as nuisance parameters ... provides a semiparametric imputation procedure for missing multivariate data...

lg
 Referenced in 2 articles
[sw32322]
 locally Gaussian distributions. It provides methods for implementing locally Gaussian multivariate density estimation, conditional density...

GHICA
 Referenced in 8 articles
[sw25996]
 either calculate risk measures under the Gaussian distributional assumption or involve numerical difficulty. The primary ... method, GHICA, which overcomes the limitations in multivariate risk analysis. The idea is to first...

FastGP
 Referenced in 2 articles
[sw21250]
 from multivariate normal distributions, evaluation of the logdensity of a multivariate normal vector ... Bayesian inference for latent variable Gaussian process models with elliptical slice sampling (Murray, Adams...

bmgarch
 Referenced in 1 article
[sw39770]
 based either on a multivariate gaussian normal or studentt distribution. DCC and CCC models...