We consider a multivariate survival distribution derived from an inverse Gaussian mixture of exponential distributions. The variables of this multivariate distribution are shown to exhibit total ...
Abstract: The heavy-tailed Multivariate Normal Inverse Gaussian (MNIG) distribution is a recent variance-mean mixture of a multivariate Gaussian with a univariate inverse Gaussian distribution. Due to ...
AKDE provides an accurate, adaptive kernel density estimator based on the Gaussian Mixture Model for multidimensional data. This Python implementation includes automatic grid construction for ...
The Multivariate Gaussian model is a classic workhorse for classification tasks. Given an image, it can predict its class by calculating which statistical distribution the image most likely belongs to ...
Optimal design of sea-walls requires the extreme value analysis of a variety of oceanographic data. Asymptotic arguments suggest the use of multivariate extreme value models, but empirical studies ...
Abstract: The normal inverse Gaussian (NIG) distribution is a recent variance-mean mixture of a Gaussian with an inverse Gaussian distribution. The NIG can serve as a model for data that are ...
School of Electric Power Engineering, South China University of Technology, Guangzhou, China In order to enhance self-monitoring and self-diagnosis capabilities in smart distribution networks, this ...
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