On the Asymptotics of Rosenblatt-Type Transformations in a Gaussian Mixture Identification Problem

On the Asymptotics of Rosenblatt-Type Transformations in a Gaussian Mixture Identification Problem

Savinov E. A.

УДК 519.214, 519.237.3, 519.234.3
DOI: 10.33048/semi.2024.21.095  
MSC 60F05, 60G70, 62H05, 62H15


Аннотация:

We show that a cross independence (CI) transformation of some Gaussian mixture has an asymptotically Gaussian distribution connected with the Gaussian core of the mixture by the same type of transform. We suggest using this fact for testing the fit of high-dimensional samples to a mixture of Gaussian distributions. In addition we study a behavior of extreme values in related triangular arrays.

 

Ключевые слова: Gaussian mixture, multivariate copula, multivariate t distribution, extreme values, mixture identification