Halva—‘grapHical Analysis with Latent VAriables’—is a Python package dedicated to statistical analysis of multivariate ordinal data, designed specifically to handle missing values and latent variables ...
A special case of multivariate count data. The general case is often handled with copulas in the literature. The computationally difficult part is that most or almost all methods require numerical ...
Abstract: Permutation optimization is essential in various fields, such as task scheduling, path planning. Considering the exploration ability of Estimation of Distribution Algorithms (EDAs), a ...
Abstract: Copulas are multivariate joint distributions of random variables with uniform marginal distributions. They have become increasingly important in statistical models in which the dependence ...
ABSTRACT: Using the fact that a multivariate random sample of n observations also generates n nearest neighbour distance (NND) univariate observations and from these NND observations, a set of n ...
This research is framed in the area of biomathematics and contributes to the epidemiological surveillance entities in Colombia to clarify how breast cancer mortality rate (BCM) is spatially ...
Multivariate analysis of variance (MANOVA) is a widely used technique for simultaneously comparing means for multiple dependent variables across two or more groups. MANOVA rests on several assumptions ...
We consider a problem from stock market modeling, precisely, choice of adequate distribution of modeling extremal behavior of stock market data. Generalized extreme value (GEV) distribution and ...
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