[图书][B] Stochastic analysis of mixed fractional Gaussian processes
Stochastic Analysis of Mixed Fractional Gaussian Processes presents the main tools
necessary to characterize Gaussian processes. The book focuses on the particular case of …
necessary to characterize Gaussian processes. The book focuses on the particular case of …
Stability Analysis of Neutral Fractional Stochastic Differential Equations Driven by Mixed Brownian Motion and Subfractional Brownian Motion With Applications in the I …
C Mattuvarkuzhali… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Exponential stability is often used to barricade stochastic disturbance in visual trajectory
tracking of a robotic system. In this work, a nonlinear mathematical model to deal with the …
tracking of a robotic system. In this work, a nonlinear mathematical model to deal with the …
Stochastic averaging for the non-autonomous mixed stochastic differential equations with locally Lipschitz coefficients
R Wang, Y Xu, H Yue - Statistics & Probability Letters, 2022 - Elsevier
This paper investigates a non-autonomous slow–fast system, which is generalized by
stochastic differential equations with locally Lipschitz coefficients, subjected to standard …
stochastic differential equations with locally Lipschitz coefficients, subjected to standard …
Mixed fractional stochastic differential equations with jumps
G Shevchenko - Stochastics An International Journal of Probability …, 2014 - Taylor & Francis
Full article: Mixed fractional stochastic differential equations with jumps Skip to Main Content
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Mixed stochastic differential equations: Existence and uniqueness result
JL da Silva, M Erraoui, EH Essaky - Journal of Theoretical Probability, 2018 - Springer
In this paper we establish an existence and uniqueness result for solutions of
multidimensional, time-dependent, stochastic differential equations driven simultaneously by …
multidimensional, time-dependent, stochastic differential equations driven simultaneously by …
Mixed stochastic delay differential equations
G Shevchenko - Theory of Probability and Mathematical Statistics, 2014 - ams.org
We consider a stochastic delay differential equation driven by a Hölder continuous process
$ Z $ and a Wiener process. Under fairly general assumptions on coefficients of the …
$ Z $ and a Wiener process. Under fairly general assumptions on coefficients of the …
Asymptotic behavior of mixed power variations and statistical estimation in mixed models
M Dozzi, Y Mishura, G Shevchenko - Statistical Inference for Stochastic …, 2015 - Springer
Asymptotic behavior of mixed power variations and statistical estimation in mixed models |
SpringerLink Skip to main content Advertisement SpringerLink Log in Menu Find a journal …
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Exponential stability for neutral stochastic functional partial differential equations driven by Brownian motion and fractional Brownian motion
X Zhang, D Ruan - Journal of Inequalities and Applications, 2018 - Springer
In this paper, we study the exponential stability in the p th moment of mild solutions to neutral
stochastic functional partial differential equations driven by Brownian motion and fractional …
stochastic functional partial differential equations driven by Brownian motion and fractional …
Pathwise methods in regularisation by noise
L Galeati - 2022 - bonndoc.ulb.uni-bonn.de
This thesis concerns the study of regularisation by noise phenomena for ODEs and PDEs. In
particular, it focuses on the use of so called pathwise techniques: our aim is to identify …
particular, it focuses on the use of so called pathwise techniques: our aim is to identify …
Parametric estimation for linear stochastic differential equations driven by mixed fractional Brownian motion
BLSP Rao - Stochastic Analysis and Applications, 2018 - Taylor & Francis
We investigate the asymptotic properties of the maximum likelihood estimator and Bayes
estimator of the drift parameter for stochastic processes satisfying linear stochastic …
estimator of the drift parameter for stochastic processes satisfying linear stochastic …