• # bfa

• Referenced in 20 articles [sw07430]
• structure and the form of the marginal distributions, complicating interpretation and introducing artifacts. To address ... decouple the latent factors from the marginal distributions. A semiparametric specification for the marginals based...

• Referenced in 18 articles [sw01332]
• construction of multivariate distributions with given nonoverlapping multivariate marginals. One of the most ... useful tools for handling multivariate distributions with given univariate marginals is the copula function. Using ... study of multivariate distributions with given multivariate marginals by emphasizing the separate roles ... dominance order among the corresponding multivariate marginal distributions implies an overall stochastic dominance between...
• # LibDAI

• Referenced in 16 articles [sw06422]
• various approximations of the partition sum, marginal probability distributions and maximum probability states. Parameter learning...
• # GenOrd

• Referenced in 5 articles [sw14628]
• Variables with Given Correlation Matrix and Marginal Distributions. A gaussian copula based procedure for generating ... variables with prescribed correlation matrix and marginal distributions...
• # NORTARA

• Referenced in 3 articles [sw26169]
• dimensional random vectors with given marginal distributions and correlation matrix. The method uses the NORTA ... into a random vector with specified marginal distributions and the RA (Retrospective Approximation) algorithm which ... generic stochastic root-finding algorithm. The marginals can be continuous or discrete. See the vignette...
• # sbw

• Referenced in 8 articles [sw21948]
• variance that adjust or balance the empirical distribution of the observed covariates up to levels ... other features of their marginal and joint distributions, such as variances and correlations and also ... thus, balancing entire two- and three-way marginals. Since the weighting method is based...
• # tmvtnorm

• Referenced in 17 articles [sw08073]
• distribution. Computes probabilities, quantiles and densities, including one-dimensional and bivariate marginal densities. Computes first...
• # OrdNor

• Referenced in 1 article [sw22168]
• Data with Given Correlation Matrix and Marginal Distributions. Implementation of a procedure for generating samples ... with pre-specified correlation matrix and marginal distributions...
• # DPpackage

• Referenced in 59 articles [sw10495]
• space of all regression functions. Unfortunately, posterior distributions ranging over function spaces are highly complex ... DPpackage. Currently, DPpackage includes models for marginal and conditional density estimation, receiver operating characteristic curve...