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20162022
most citedLarge deviations for drift parameter estimator of mixed fractional Ornstein--Uhlenbeck process

12 citations · 12 across the 4 of their papers we have counts for

collaborators

6 papers

math.ST2022

Asymptotic accuracy in estimation of a fractional signal in a small white noise

M. Kleptsyna, D. Marushkevych, P. Chigansky

This paper revisits the problem of estimating the fractional Ornstein - Uhlenbeck process observed in a linear channel with white noise of small intensity. We drive the exact asymp…

math.ST2020

On Dantzig and Lasso estimators of the drift in a high dimensional Ornstein-Uhlenbeck model

Gabriela Ciolek, Dmytro Marushkevych, Mark Podolskij

In this paper we present new theoretical results for the Dantzig and Lasso estimators of the drift in a high dimensional Ornstein-Uhlenbeck model under sparsity constraints. Our fo…

math.PR2019

Limit behaviour of the minimal solution of a BSDE in the non Markovian setting

Dmytro Marushkevych, Alexandre Popier

We use the functional It{ô} calculus to prove that the solution of a BSDE with singular terminal condition is continuous at the terminal time. Hence we extend known results for a n…

math.PR2018

Mixed fractional Brownian motion: a spectral take

P. Chigansky, M. Kleptsyna, D. Marushkevych

This paper provides yet another look at the mixed fractional Brownian motion (fBm), this time, from the spectral perspective. We derive an approximation for the eigenvalues of its…

math.PR2018

Exact spectral asymptotics of fractional processes

P. Chigansky, M. Kleptsyna, D. Marushkevych

Eigenproblems frequently arise in theory and applications of stochastic processes, but only a few have explicit solutions. Those which do, are usually solved by reduction to the ge…

math.PR201612 cited

Large deviations for drift parameter estimator of mixed fractional Ornstein--Uhlenbeck process

Dmytro Marushkevych

We investigate large deviation properties of the maximum likelihood drift parameter estimator for Ornstein--Uhlenbeck process driven by mixed fractional Brownian motion.