activity
20122023
most citedApproximation of fractional Brownian motion by martingales

9 citations · 25 across the 9 of their papers we have counts for

collaborators

9 papers

math.ST2023

Gaussian Volterra processes: asymptotic growth and statistical estimation

Yuliya Mishura, Kostiantyn Ralchenko, Sergiy Shklyar

The paper is devoted to three-parametric self-similar Gaussian Volterra processes that generalize fractional Brownian motion. We study the asymptotic growth of such processes and t…

math.PR2023

Entropy and alternative entropy functionals of fractional Gaussian noise as the functions of Hurst index

Anatoliy Malyarenko, Yuliya Mishura, Kostiantyn Ralchenko +1

This paper is devoted to the study of the properties of entropy as a function of the Hurst index, which corresponds to the fractional Gaussian noise. Since the entropy of the Gauss…

math.PR2020★ 2 cited

Gaussian processes with Volterra kernels

Yuliya Mishura, Georgiy Shevchenko, Sergiy Shklyar

We study Volterra processes , where is a standard Wiener process, and the kernel has the form . This form gen…

math.PR2018★ 3 cited

Consistency of the total least squares estimator in the linear errors-in-variables regression

Sergiy Shklyar

This paper deals with a homoskedastic errors-in-variables linear regression model and properties of the total least squares (TLS) estimator. We partly revise the consistency result…

math.PR2018★ 1 cited

Parameter estimation for Gaussian processes with application to the model with two independent fractional Brownian motions

Yuliya Mishura, Kostiantyn Ralchenko, Sergiy Shklyar

The purpose of the article is twofold. Firstly, we review some recent results on the maximum likelihood estimation in the regression model of the form , where $B…

math.PR2016★ 9 cited

Maximum likelihood drift estimation for Gaussian process with stationary increments

Yuliya Mishura, Kostiantyn Ralchenko, Sergiy Shklyar

The paper deals with the regression model , , where is a centered Gaussian process with stationary increments. We study the estima…

stat.ME2016★ 1 cited

Equivariant adjusted least squares estimator in two-line fitting model

Sergiy Shklyar

We consider the two-line fitting problem. True points lie on two straight lines and are observed with Gaussian perturbations. For each observed point, it is not known on which line…

math.PR2015

Identifiability of logistic regression with homoscedastic error: Berkson model

Sergiy Shklyar

We consider the Berkson model of logistic regression with Gaussian and homoscedastic error in regressor. The measurement error variance can be either known or unknown. We deal with…

math.PR2012★ 9 cited

Approximation of fractional Brownian motion by martingales

Sergiy Shklyar, Georgiy Shevchenko, Yuliya Mishura +2

We study the problem of optimal approximation of a fractional Brownian motion by martingales. We prove that there exist a unique martingale closest to fractional Brownian motion in…