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 ...
HIV and tuberculosis (TB) remain closely linked public health threats in sub-Saharan Africa, with South Africa bearing the highest burden of both diseases. In KwaZulu-Natal, where HIV prevalence peaks ...
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 ...
excerpt: "Given a covariance matrix and a mean vector, how do we generate random vectors from the corresponding Gaussian model?" You may have used `mvnrnd` in Matlab or `multivariate_normal` in NumPy.
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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