Results 21 to 30 of about 11,838 (304)

Almost Sure Exponential Stability of Numerical Solutions for Stochastic Pantograph Differential Equations with Poisson Jumps

open access: yesMathematics, 2022
The stability analysis of the numerical solutions of stochastic models has gained great interest, but there is not much research about the stability of stochastic pantograph differential equations.
Amr Abou-Senna, Boping Tian
doaj   +1 more source

Strong consistency of the local linear relative regression estimator for censored data [PDF]

open access: yesOpuscula Mathematica, 2022
In this paper, we combine the local linear approach to the relative error regression estimation method to build a new estimator of the regression operator when the response variable is subject to random right censoring.
Feriel Bouhadjera, Elias Ould Saïd
doaj   +1 more source

Almost sure exponential stability of backward Euler–Maruyama discretizations for hybrid stochastic differential equations [PDF]

open access: yes, 2011
This is a continuation of the first author's earlier paper [1] jointly with Pang and Deng, in which the authors established some sufficient conditions under which the Euler-Maruyama (EM) method can reproduce the almost sure exponential stability of the ...
Shen, Yi   +5 more
core   +1 more source

Estimating Smoothness and Optimal Bandwidth for Probability Density Functions

open access: yesStats, 2022
The properties of non-parametric kernel estimators for probability density function from two special classes are investigated. Each class is parametrized with distribution smoothness parameter. One of the classes was introduced by Rosenblatt, another one
Dimitris N. Politis   +2 more
doaj   +1 more source

Almost sure and moment exponential stability in the numerical simulation of stochastic differential equations [PDF]

open access: yes, 2007
Relatively little is known about the ability of numerical methods for stochastic differential equations (SDEs) to reproduce almost sure and small-moment stability.
Yuan, C.   +4 more
core   +1 more source

Some remarks on the ergodic theorem for $U$-statistics

open access: yesComptes Rendus. Mathématique, 2023
In this note, we investigate the convergence of a $U$-statistic of order two having stationary ergodic data. We will find sufficient conditions for the almost sure and $L^1$ convergence and present some counter-examples showing that the $U$-statistic ...
Dehling, Herold   +2 more
doaj   +1 more source

Almost sure subexponential decay rates of scalar Ito-Volterra equations. [PDF]

open access: yes, 2004
The paper studies the subexponential convergence of solutions of scalar Itˆo-Volterra equations. First, we consider linear equations with an instantaneous multiplicative noise term with intensity .
Appleby John A. D.   +2 more
core   +1 more source

Some Types of Convergence for Negatively Dependent Random Variables under Sublinear Expectations

open access: yesDiscrete Dynamics in Nature and Society, 2019
In this paper, we research complete convergence and almost sure convergence under the sublinear expectations. As applications, we extend some complete and almost sure convergence theorems for weighted sums of negatively dependent random variables from ...
Ruixue Wang, Qunying Wu
doaj   +1 more source

Cooling down stochastic differential equations: almost sure convergence

open access: yes, 2022
We consider almost sure convergence of the SDE $dX_t=\alpha_t d t + \beta_t d W_t$ under the existence of a $C^2$-Lyapunov function $F:\mathbb R^d \to \mathbb R$. More explicitly, we show that on the event that the process stays local we have almost sure
Kassing, S., Dereich, S.
core   +1 more source

DAVENPORT SERIES AND ALMOST-SURE CONVERGENCE [PDF]

open access: yesThe Quarterly Journal of Mathematics, 2010
We consider Davenport-like series with coecients in l 2 and discuss L 2 -convergence as well as almost-everywhere convergence. We give an example where both fail to hold. We next improve former sucient conditions under which these convergences are true.
openaire   +2 more sources

Home - About - Disclaimer - Privacy