bilistic models and its effect on geotechnical reliability. First, the copula theory is briefly Gumbel copulas. ta. best-fit m rmation Cr (AIC) [20] or Bayesian Information Criterion (BIC) [21] in the copula approach. Furthermore, sample statistics such as mean, sample standard deviation (SD) and sample Kendall rank correlation coefficient are used to determine the para of marginal distributions and copulas. Theoretically, the joint CDF or PDF determined by the copula approach is accurat
International audienceProbability distributions of multivariate random variables are generally more ...
The paper considers likelihood-based estimation of multivariate models, in which only marginal distr...
We explore several copula models of the joint distribution of national stock indices including FGM a...
Correctly modelling bivariate relationships between geological variables is vital in mineral resourc...
This paper demonstrates how empirical copulas can be used to describe and model spatial dependence s...
The usage of copula to determine the joint distribution between two variables is widely used in vari...
The seismic gap hypothesis assumes that the intensity of an earthquake and the time elapsed from the...
Copula is a probability distribution that allows a joint distribution function build from different ...
Copulas are mathematical objects that fully capture the dependence structure among random variables ...
The most important aspect of modelling a geological variable, such as metal grade, is the spatial co...
10.1002/nag.1112International Journal for Numerical and Analytical Methods in Geomechanics376597-617...
Probability distributions of multivariate random variables are generally more complex compared to th...
Yantu Gongcheng Xuebao/Chinese Journal of Geotechnical Engineering34122284-2291YGXU
The modeling of joint probability distributions of correlated variables and the evaluation of reliab...
The paper considers likelihood-based estimation of multivariate models, in which only marginal distr...
International audienceProbability distributions of multivariate random variables are generally more ...
The paper considers likelihood-based estimation of multivariate models, in which only marginal distr...
We explore several copula models of the joint distribution of national stock indices including FGM a...
Correctly modelling bivariate relationships between geological variables is vital in mineral resourc...
This paper demonstrates how empirical copulas can be used to describe and model spatial dependence s...
The usage of copula to determine the joint distribution between two variables is widely used in vari...
The seismic gap hypothesis assumes that the intensity of an earthquake and the time elapsed from the...
Copula is a probability distribution that allows a joint distribution function build from different ...
Copulas are mathematical objects that fully capture the dependence structure among random variables ...
The most important aspect of modelling a geological variable, such as metal grade, is the spatial co...
10.1002/nag.1112International Journal for Numerical and Analytical Methods in Geomechanics376597-617...
Probability distributions of multivariate random variables are generally more complex compared to th...
Yantu Gongcheng Xuebao/Chinese Journal of Geotechnical Engineering34122284-2291YGXU
The modeling of joint probability distributions of correlated variables and the evaluation of reliab...
The paper considers likelihood-based estimation of multivariate models, in which only marginal distr...
International audienceProbability distributions of multivariate random variables are generally more ...
The paper considers likelihood-based estimation of multivariate models, in which only marginal distr...
We explore several copula models of the joint distribution of national stock indices including FGM a...