activity
20132026
most citedConvergence rates of maximal deviation distribution for projection estimates of Lévy densities

3 citations · 6 across the 14 of their papers we have counts for

collaborators

16 papers

stat.ME2026

Statistical inference based on band-limited kernels: Rational-infinitely divisible distributions and beyond

Vladimir Panov, Anton Ryabchenko

This paper investigates the problem of statistical inference for a mixture distribution consisting of a discrete and a continuous component, with a particular focus on the class of…

math.ST2024

Decompounding Under General Mixing Distributions

Denis Belomestny, Ekaterina Morozova, Vladimir Panov

This study focuses on statistical inference for compound models of the form , where is a random variable denoting the count of summands, which are independent…

stat.ME2022

Statistical Inference for Scale Mixture Models via Mellin Transform Approach

Denis Belomestny, Ekaterina Morozova, Vladimir Panov

This paper deals with statistical inference for the scale mixture models. We study an estimation approach based on the Mellin -- Stieltjes transform that can be applied to both dis…

q-fin.ST2022

Modelling the Bitcoin prices and the media attention to Bitcoin via the jump-type processes

Ekaterina Morozova, Vladimir Panov

In this paper, we present a new bivariate model for the joint description of the Bitcoin prices and the media attention to Bitcoin. Our model is based on the class of the Lévy proc…

math.ST2021

Extreme value analysis for mixture models with heavy-tailed impurity

Vladimir Panov, Ekaterina Morozova

This paper deals with the extreme value analysis for the triangular arrays, which appear when some parameters of the mixture model vary as the number of observations grow. When the…

math.PR2020

Extremes of Gaussian non-stationary processes and maximal deviation of projection density estimates

Valentin Konakov, Vladimir Panov, Vladimir Piterbarg

In this paper, we consider the distribution of the supremum of non-stationary Gaussian processes, and present a new theoretical result on the asymptotic behaviour of this distribut…

math.PR2018

Limit Theorems for the Alloy-type Random Energy Model

Stanislav Molchanov, Vladimir Panov

In this paper, we consider limit laws for the model, which is a generalisation of the random energy model (REM) to the case when the energy levels have the mixture distribution. Mo…

math.PR2018

Multivariate subordination of stable processes

V. Panov, E. Samarin

This article is devoted to some time-changed stochastic models based on multivariate stable processes. The considered models have several advantages in comparison with classical ti…

stat.OT2017

Semiparametric estimation in the normal variance-mean mixture model

Denis Belomestny, Vladimir Panov

In this paper we study the problem of statistical inference on the parameters of the semiparametric variance-mean mixtures. This class of mixtures has recently become rather popula…

math.PR2017★ 1 cited

Limit theorems for sums of random variables with mixture distribution

Vladimir Panov

In this paper, we study the fluctuations of sums of random variables with distribution defined as a mixture of light-tail and truncated heavy-tail distributions. We focus on the ca…

stat.ME2017

Statistical inference for moving-average Lévy-driven processes: Fourier-based approach

Denis Belomestny, Tatiana Orlova, Vladimir Panov

We consider a new method of the semiparametric statistical estimation for the continuous-time moving average Lévy processes. We derive the convergence rates of the proposed estimat…

math.ST2016

Low frequency estimation of continuous-time moving average Lévy processes

Denis Belomestny, Vladimir Panov, Jeannette Woerner

In this paper we study the problem of statistical inference for a continuous-time moving average Lévy process of the form $$Z_{t} = \int_{\mathbb{R}}\mathcal{K}(t-s)\, dL_{s},\quad…

stat.ME2015

Statistical inference for generalized Ornstein-Uhlenbeck processes

Denis Belomestny, Vladimir Panov

In this paper, we consider the problem of statistical inference for generalized Ornstein-Uhlenbeck processes of the type \[ X_{t} = e^{-ξ_{t}} \left( X_{0} + \int_{0}^{t} e^{ξ_{u-}…

math.ST2015★ 2 cited

Series representations for bivariate time-changed L{é}vy models

Vladimir Panov, Igor Sirotkin

In this paper, we analyze a L{é}vy model based on two popular concepts - subordination and L{é}vy copulas. More precisely, we consider a two-dimensional L{é}vy process such that ea…

math.PR2014★ 3 cited

Convergence rates of maximal deviation distribution for projection estimates of Lévy densities

Valentin Konakov, Vladimir Panov

In this paper, we consider projection estimates for Lévy densities in high-frequency setup. We give a unified treatment for different sets of basis functions and focus on the asymp…

stat.OT2013

Statistical inference for exponential functionals of Lévy processes

Denis Belomestny, Vladimir Panov

In this paper, we consider the exponential functional \(A_{\infty}=\int_0^\infty e^{-ξ_s}ds\) of a L{é}vy process \(ξ_s\) and aim to estimate the characteristics of \(ξ_{s}\) from…