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Asymptotics for the L p -deviation of the variance estimator under diffusion

Paul Doukhan, José R. León (2004)

ESAIM: Probability and Statistics

We consider a diffusion process X t smoothed with (small) sampling parameter ε . As in Berzin, León and Ortega (2001), we consider a kernel estimate α ^ ε with window h ( ε ) of a function α of its variance. In order to exhibit global tests of hypothesis, we derive here central limit theorems for the L p deviations such as 1 h h ε p 2 α ^ ε - α p p - 𝔼 α ^ ε - α p p .

Asymptotics for the Lp-deviation of the variance estimator under diffusion

Paul Doukhan, José R. León (2010)

ESAIM: Probability and Statistics

We consider a diffusion process Xt smoothed with (small) sampling parameter ε. As in Berzin, León and Ortega (2001), we consider a kernel estimate α ^ ε with window h(ε) of a function α of its variance. In order to exhibit global tests of hypothesis, we derive here central limit theorems for the Lp deviations such as 1 h h ε p 2 α ^ ε - α p p - I E α ^ ε - α p p .

Asymptotics for the survival probability in a killed branching random walk

Nina Gantert, Yueyun Hu, Zhan Shi (2011)

Annales de l'I.H.P. Probabilités et statistiques

Consider a discrete-time one-dimensional supercritical branching random walk. We study the probability that there exists an infinite ray in the branching random walk that always lies above the line of slope γ − ε, where γ denotes the asymptotic speed of the right-most position in the branching random walk. Under mild general assumptions upon the distribution of the branching random walk, we prove that when ε → 0, this probability decays like exp{−(β+o(1)) / ε1/2}, where β is a positive constant...

Asymptotics of a Time-Splitting Scheme for the Random Schrödinger Equation with Long-Range Correlations

Christophe Gomez, Olivier Pinaud (2014)

ESAIM: Mathematical Modelling and Numerical Analysis - Modélisation Mathématique et Analyse Numérique

This work is concerned with the asymptotic analysis of a time-splitting scheme for the Schrödinger equation with a random potential having weak amplitude, fast oscillations in time and space, and long-range correlations. Such a problem arises for instance in the simulation of waves propagating in random media in the paraxial approximation. The high-frequency limit of the Schrödinger equation leads to different regimes depending on the distance of propagation, the oscillation pattern of the initial...

Asymptotics of counts of small components in random structures and models of coagulation-fragmentation

Boris L. Granovsky (2013)

ESAIM: Probability and Statistics

We establish necessary and sufficient conditions for the convergence (in the sense of finite dimensional distributions) of multiplicative measures on the set of partitions. The multiplicative measures depict distributions of component spectra of random structures and also the equilibria of classic models of statistical mechanics and stochastic processes of coagulation-fragmentation. We show that the convergence of multiplicative measures is equivalent to the asymptotic independence of counts of...

Asymptotics of riskless profit under selling of discrete time call options

A. V. Nagaev, S. A. Nagaev (2003)

Applicationes Mathematicae

A discrete time model of financial market is considered. In the focus of attention is the guaranteed profit of the investor which arises when the jumps of the stock price are bounded. The limit distribution of the profit as the model becomes closer to the classic model of geometrical Brownian motion is established. It is of interest that the approximating continuous time model does not assume any such profit.

Asymptotics of variance of the lattice point count

Jiří Janáček (2008)

Czechoslovak Mathematical Journal

The variance of the number of lattice points inside the dilated bounded set r D with random position in d has asymptotics r d - 1 if the rotational average of the squared modulus of the Fourier transform of the set is O ( ρ - d - 1 ) . The asymptotics follow from Wiener’s Tauberian theorem.

Atomic decomposition of predictable martingale Hardy space with variable exponents

Zhiwei Hao (2015)

Czechoslovak Mathematical Journal

This paper is mainly devoted to establishing an atomic decomposition of a predictable martingale Hardy space with variable exponents defined on probability spaces. More precisely, let ( Ω , , ) be a probability space and p ( · ) : Ω ( 0 , ) be a -measurable function such that 0 < inf x Ω p ( x ) sup x Ω p ( x ) < . It is proved that a predictable martingale Hardy space 𝒫 p ( · ) has an atomic decomposition by some key observations and new techniques. As an application, we obtain the boundedness of fractional integrals on the predictable martingale Hardy space with...

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