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- Université de Rouen NormandieFR16 papers
- Centre National de la Recherche ScientifiqueFR15 papers
- National Research Tomsk State UniversityRU4 papers
- Institut de Recherche Mathématique AvancéeFR3 papers
- Institute of Rural Management AnandIN3 papers
- Laboratoire Analyse, Géométrie et ApplicationsFR3 papers
- Centre de Recherche en Mathématiques de la DécisionFR2 papers
- Département mathématiques, informatique, sciences de la donnée et technologies du numériqueFR2 papers
- Laboratoire de Physique ThéoriqueFR2 papers
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9 papers · 1 filter
Ruin probability in the presence of risky investments
Serguei Pergamenchtchikov, Zeitouny Omar
We consider an insurance company in the case when the premium rate is a bounded non-negative random function $c_\zs{t}$ and the capital of the insurance company is invested in a ri…
General model selection estimation of a periodic regression with a Gaussian noise
Victor Konev, Serguei Pergamenchtchikov
This paper considers the problem of estimating a periodic function in a continuous time regression model with an additive stationary gaussian noise having unknown correlation funct…
Asymptotic behavior of structures made of straight rods
Dominique Blanchard, Georges Griso
This paper is devoted to describe the deformations and the elastic energy for structures made of straight rods of thickness when tends to 0. This analysis relies on the de…
Asymptotic normality of the Parzen-Rosenblatt density estimator for strongly mixing random fields
Mohamed El Machkouri
We prove the asymptotic normality of the kernel density estimator (introduced by Rosenblatt (1956) and Parzen (1962)) in the context of stationary strongly mixing random fields. Ou…
Berry-Esseen's central limit theorem for non-causal linear processes in Hilbert space
Mohamed EL Machkouri
Let be a real separable Hilbert space and a sequence of bounded linear operators from to . We consider the linear process defined for any $k…
Sequential adaptive estimators in nonparametric autoregressive models
Ouerdia Arkoun
We constuct a sequential adaptive procedure for estimating the autoregressive function at a given point in nonparametric autoregression models with Gaussian noise. We make use of t…