activity
20042025
most citedThe tail of the stationary distribution of a random coefficient AR(q) model

64 citations · 113 across the 17 of their papers we have counts for

collaborators

23 papers

math.ST2025

Truncated sequential guaranteed estimation for the Cox-Ingersoll-Ross models

Mohamed Ben Alaya, Thi-Bao Trâm Ngô, Serguei Pergamenchtchikov

The drift sequential parameter estimation problems for the Cox-Ingersoll-Ross (CIR) processes under the limited duration of observation are studied. Truncated sequential estimation…

math.ST2021

Minimax and pointwise sequential changepoint detection and identification for general stochastic models

Serguei Pergamenchtchikov, Alexander Tartakovsky, Valentin Spivak

This paper considers the problem of joint change detection and identification assuming multiple composite postchange hypotheses. We propose a multihypothesis changepoint detection-…

q-fin.MF2020

Hedging problems for Asian options with transactions costs

Serguei Pergamenchtchikov, Alena Shishkova

In this paper, we consider the problem of hedging Asian options in financial markets with transaction costs. For this, we use the asymptotic hedging approach. The main task of asym…

math.ST2018

Sequential Model Selection Method for Nonparametric Autoregression

Ouerdia Arkoun, Jean-Yves Brua, Serguei Pergamenshchikov

In this paper for the first time the nonparametric autoregression estimation problem for the quadratic risks is considered. To this end we develop a new adaptive sequential model s…

math.ST2018

Asymptotically Optimal Pointwise and Minimax Change-point Detection for General Stochastic Models With a Composite Post-Change Hypothesis

Serguei Pergamenchtchikov, Alexander G. Tartakovsky

A weighted Shiryaev-Roberts change detection procedure is shown to approximately minimize the expected delay to detection as well as higher moments of the detection delay among all…

math.ST2016

Model selection for the robust efficient signal processing observed with small Lévy noise

Slim Beltaief, Oleg Chernoyarov, Serguei Pergamenchtchikov

We develop a new model selection method for the adaptive robust efficient nonparametric signal estimation observed with impulse noise which is defined by the general non Gaussian L…