Results 21 to 30 of about 21,651 (169)
Stochastic averaging for the non-autonomous mixed stochastic differential equations with locally Lipschitz coefficients [PDF]
23 ...
Ruifang Wang, Yong Xu, Hongge Yue
openaire +3 more sources
This paper is concerned with the convergence analysis of numerical methods for stochastic delay differential equations. We consider the split-step theta method for nonlinear nonautonomous equations and prove the strong convergence of the numerical ...
Chao Yue, Chengming Huang
doaj +1 more source
The Euler scheme is one of the standard schemes to obtain numerical approximations of solutions of stochastic differential equations (SDEs). Its convergence properties are well known in the case of globally Lipschitz continuous coefficients.
S. Göttlich, K. Lux, A. Neuenkirch
doaj +1 more source
On the Differential Privacy of Bayesian Inference [PDF]
We study how to communicate findings of Bayesian inference to third parties, while preserving the strong guarantee of differential privacy. Our main contributions are four different algorithms for private Bayesian inference on proba-bilistic graphical ...
Dimitrakakis, Christos +2 more
core +4 more sources
Invariant measures for monotone SPDE's with multiplicative noise term
We study diffusion processes corresponding to infinite dimensional semilinear stochastic differential equations with local Lipschitz drift term and an arbitrary Lipschitz diffusion coefficient.
Es-Sarhir, A. +3 more
core +1 more source
Reflected BSDEs with default time and irregular obstacles
In this note, we study reflected backward stochastic differential equations with a default time, where the reflecting obstacle is not necessarily right-continuous.
Elmansouri, Badr
doaj +1 more source
STOCHASTIC VOLTERRA INTEGRAL EQUATIONS WITH JUMPS AND NON-LIPSCHITZ COEFFICIENTS
Stochastic Volterra integral equations with jumps (SVIEs) have become very common and widely used in numerous branches of science, due to their connections with mathematical finance, biology, engineering and so on. In this paper, we apply the successive approximation method to investigate the existence and uniqueness of solutions to the SVIEs driven by
Khalaf, Anas Dheyab, Wang, Xiangjun
openaire +2 more sources
In this paper, we focus on mean-field stochastic differential equations driven by G-Brownian motion (G-MFSDEs for short) with a drift coefficient satisfying the local one-sided Lipschitz condition with respect to the state variable and the global ...
Pengfei Zhao, Haiyan Yuan
doaj +1 more source
Adaptive Momentum for Neural Network Optimization [PDF]
In this thesis, we develop a novel and efficient algorithm for optimizing neural networks inspired by a recently proposed geodesic optimization algorithm.
Rashidi, Zana
core
A goodness‐of‐fit test for regression models with discrete outcomes
Abstract Regression models are often used to analyze discrete outcomes, but classical goodness‐of‐fit tests such as those based on the deviance or Pearson's statistic can be misleading or have little power in this context. To address this issue, we propose a new test, inspired by the work of Czado et al.
Lu Yang +2 more
wiley +1 more source

