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 ...
In an agreement that adds to its presence in the comics, graphic novels, and manga space, Penguin Random House Publisher Services has signed a multi-year sales and distribution agreement with Tokyopop ...
Abstract: Missing values means the absence of data items for an observation that can result in the loss of certain information. During surveys, there are often missing values or missing data because ...
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 ...
1 Division of Newborn Medicine, Department of Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA 2 Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General ...
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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