activity
20132022
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.AP2019

On the fundamental solution of heat and stochastic heat equations

Marina Kleptsyna, Andrey Piatnitski, Alexandre Popier

We consider the generic divergence form second order parabolic equation with coefficients that are regular in the spatial variables and just measurable in time. We show that the sp…

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.PR2015

Gärtner-Ellis condition for squared asymptotically stationary Gaussian processes

Marina Kleptsyna, Alain Le Breton, Bernard Ycart

The Gärtner-Ellis condition for the square of an asymptotically stationary Gaussian process is established. The same limit holds for the conditional distri-bution given any fixed i…

math.ST2013

Asymptotic properties of the MLE for the autoregressive process coefficients under stationary Gaussian noise

Alexandre Brouste, Chunhao Cai, Marina Kleptsyna

In this paper we are interested in the Maximum Likelihood Estimator (MLE) of the vector parameter of an autoregressive process of order with regular stationary Gaussian noise.…