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: 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: Diffusion tensor magnetic resonance imaging (DT-MRI) provides a statistical estimate of a symmetric, second-order diffusion tensor of water, D, in each voxel within an imaging volume. We ...
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 ...
Department of Educational Psychology, Ball State University, Muncie, IN, USA The presence of outliers can very problematic in data analysis, leading statisticians to develop a wide variety of methods ...
Abdul Salam School of Mathematical Sciences, GC Univer?sity, Lahore, Pakistan. Air University Multan Campus, Multan, Pakistan. The computation of the multivariate normal integral over a Complex ...
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