Discover how Monte Carlo analysis helps investors assess risk and make informed decisions. Explore its role in generating ...
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 ...
Statistical properties of multivariate distance matrix regression for high-dimensional data analysis
1 Department of Radiology, University of California at San Diego, La Jolla, CA, USA 2 Department of Molecular and Experimental Medicine, The Scripps Translational Science Institute, The Scripps ...
The uncertain and volatile nature of wind energy have brought huge challenges to power system planning and operation. Therefore, it is necessary to model the wind power output. In this paper ...
Abstract: In statistics, the concept of a concomitant, also called the induced order statistic, arises when one sorts the members of a random sample according to corresponding values of another random ...
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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