activity
20162021
most citedCentral limit theorems for functionals of large sample covariance matrix and mean vector in matrix-variate location mixture of normal distributions

2 citations · 2 across the 3 of their papers we have counts for

collaborators

5 papers

econ.EM2021

Vector autoregression models with skewness and heavy tails

Sune Karlsson, Stepan Mazur, Hoang Nguyen

With uncertain changes of the economic environment, macroeconomic downturns during recessions and crises can hardly be explained by a Gaussian structural shock. There is evidence t…

stat.ME2018

Estimation of the linear fractional stable motion

Stepan Mazur, Dmitry Otryakhin, Mark Podolskij

In this paper we investigate the parametric inference for the linear fractional stable motion in high and low frequency setting. The symmetric linear fractional stable motion is a…

math.ST2017

Discriminant analysis in small and large dimensions

Taras Bodnar, Stepan Mazur, Edward Ngailo +1

We study the distributional properties of the linear discriminant function under the assumption of normality by comparing two groups with the same covariance matrix but different m…

math.ST2016

On the product of a singular Wishart matrix and a singular Gaussian vector in high dimension

Taras Bodnar, Stepan Mazur, Stanislas Muhinyuza +1

In this paper we consider the product of a singular Wishart random matrix and a singular normal random vector. A very useful stochastic representation is derived for this product,…

math.ST2016★ 2 cited

Central limit theorems for functionals of large sample covariance matrix and mean vector in matrix-variate location mixture of normal distributions

Taras Bodnar, Stepan Mazur, Nestor Parolya

In this paper we consider the asymptotic distributions of functionals of the sample covariance matrix and the sample mean vector obtained under the assumption that the matrix of ob…