Publication date
August 2023
DOIAbstract
This release includes the improved handling of the marginal densities of the Gaussian Mixture Copula Model (GMCM). It also includes better treatments for kmeans related errors in GMCM parameter initialization
This release includes the improved handling of the marginal densities of the Gaussian Mixture Copula Model (GMCM). It also includes better treatments for kmeans related errors in GMCM parameter initialization
This is the initial release of the package. The functionality includes mixed-model parameter estimat...
This paper identifies and develops the class of Gaussian copula models for marginal regression analy...
The CCCma standard diagnostics is a package that compares model simulations with observations. It is...
Conference on Information Fusion (FUSION) and is made available as an electronic reprint (preprint) ...
We define a copula process which describes the dependencies between arbitrarily many random variable...
A recent series of papers [1, 2, 3, 4] introduced Subspace Constrained Gaussian Mixture Models (SCGM...
A simple and general mixture model based on the exact third virial coefficient of a non-additive har...
Modeling of distributions mixtures has rested on Gaussian distributions and/or a conditional indepen...
A copula is a multivariate distribution, defined on the unit hypercube, which is characterized by un...
The dataset in this repository was used for Jo et al. (2023): "A New Simplified Parameterization of ...
This article describes the R package gcmr for fitting Gaussian copula marginal regression models. Th...
This article describes the R package gcmr for fitting Gaussian copula marginal regression models. Th...
Generalized linear mixed model (GLMM) results for the effects of aseptic technique and pouch designs...
Modeling mixtures of distributions has rested on Gaussian distributions and/or a conditional indepen...
bilistic models and its effect on geotechnical reliability. First, the copula theory is briefly Gumb...
This is the initial release of the package. The functionality includes mixed-model parameter estimat...
This paper identifies and develops the class of Gaussian copula models for marginal regression analy...
The CCCma standard diagnostics is a package that compares model simulations with observations. It is...
Conference on Information Fusion (FUSION) and is made available as an electronic reprint (preprint) ...
We define a copula process which describes the dependencies between arbitrarily many random variable...
A recent series of papers [1, 2, 3, 4] introduced Subspace Constrained Gaussian Mixture Models (SCGM...
A simple and general mixture model based on the exact third virial coefficient of a non-additive har...
Modeling of distributions mixtures has rested on Gaussian distributions and/or a conditional indepen...
A copula is a multivariate distribution, defined on the unit hypercube, which is characterized by un...
The dataset in this repository was used for Jo et al. (2023): "A New Simplified Parameterization of ...
This article describes the R package gcmr for fitting Gaussian copula marginal regression models. Th...
This article describes the R package gcmr for fitting Gaussian copula marginal regression models. Th...
Generalized linear mixed model (GLMM) results for the effects of aseptic technique and pouch designs...
Modeling mixtures of distributions has rested on Gaussian distributions and/or a conditional indepen...
bilistic models and its effect on geotechnical reliability. First, the copula theory is briefly Gumb...
This is the initial release of the package. The functionality includes mixed-model parameter estimat...
This paper identifies and develops the class of Gaussian copula models for marginal regression analy...
The CCCma standard diagnostics is a package that compares model simulations with observations. It is...
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