Showing 61 - 80 results of 1,522 for search '"stochastic differential equation"', query time: 1.03s Refine Results
  1. 61

    Latent Stochastic Differential Equations for Change Point Detection by Artem Ryzhikov, Mikhail Hushchyn, Denis Derkach

    Published 2023-01-01
    “…In this paper, we present a novel change point detection algorithm based on Latent Neural Stochastic Differential Equations (SDE). Our method learns a non-linear deep learning transformation of the process into a latent space and estimates a SDE that describes its evolution over time. …”
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  2. 62

    Statistical Inference for Stochastic Differential Equations with Small Noises by Liang Shen, Qingsong Xu

    Published 2014-01-01
    “…This paper proposes the least squares method to estimate the drift parameter for the stochastic differential equations driven by small noises, which is more general than pure jump α-stable noises. …”
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    A Simple Stochastic Differential Equation with Discontinuous Drift by Maria Simonsen, John Leth, Henrik Schioler, Horia Cornean

    Published 2013-08-01
    “…In this paper we study solutions to stochastic differential equations (SDEs) with discontinuous drift. …”
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    Exponential Stability of Stochastic Differential Equation with Mixed Delay by Wenli Zhu, Jiexiang Huang, Xinfeng Ruan, Zhao Zhao

    Published 2014-01-01
    “…This paper focuses on a class of stochastic differential equations with mixed delay based on Lyapunov stability theory, Itô formula, stochastic analysis, and inequality technique. …”
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  9. 69

    Stochastic differential equations with singular coefficients on the straight line by Rongrong Tian, Liang Ding, Jinlong Wei

    Published 2020-11-01
    “…Abstract Consider the following stochastic differential equation (SDE): X t = x + ∫ 0 t b ( s , X s ) d s + ∫ 0 t σ ( s , X s ) d B s , 0 ≤ t ≤ T , x ∈ R , $$ X_{t}=x+ \int _{0}^{t}b(s,X_{s})\,ds+ \int _{0}^{t}\sigma (s,X_{s}) \,dB_{s}, \quad 0\leq t\leq T, x\in \mathbb{R}, $$ where { B s } 0 ≤ s ≤ T $\{B_{s}\}_{0\leq s\leq T}$ is a 1-dimensional standard Brownian motion on [ 0 , T ] $[0,T]$ . …”
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  10. 70

    Continuous dependence of recurrent solutions for stochastic differential equations by Haijing Qiu, Yan Wang

    Published 2020-11-01
    Subjects: “…stochastic differential equation…”
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  11. 71

    Qualitative Analysis for the Solutions of Fractional Stochastic Differential Equations by Abdelhamid Mohammed Djaouti, Muhammad Imran Liaqat

    Published 2024-06-01
    “…Fractional pantograph stochastic differential equations (FPSDEs) combine elements of fractional calculus, pantograph equations, and stochastic processes to model complex systems with memory effects, time delays, and random fluctuations. …”
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    A Proposal Based on Stochastic Differential Equations for Income by Luis Ceferino Franco-Arbeláez, Luis Eduardo Franco-Ceballos, Héctor Alonso Olivares-Aguayo

    Published 2023-03-01
    “…In this paper, for life insurance and applying a stochastic approach under efficient markets, we use survival probabilities and stochastic differential equations to model the actuarial reserve, changes in the constituted actuarial reserve, and estimated income over time. …”
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  15. 75

    Stability results for neutral fractional stochastic differential equations by Omar Kahouli, Saleh Albadran, Zied Elleuch, Yassine Bouteraa, Abdellatif Ben Makhlouf

    Published 2024-01-01
    “…In this paper, we investigate the concept of Ulam-Hyers stability for a class of neutral fractional stochastic differential equations by using the Banach fixed point theorem and the stochastic analysis techniques. …”
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  16. 76

    Fractional Stochastic Differential Equation Approach for Spreading of Diseases by Leonardo dos Santos Lima

    Published 2022-05-01
    “…The rises and falls of novel cases daily or the fluctuations in the official data are treated as a random term in the stochastic differential equation for the fractional Brownian motion. …”
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    Note on local mixing techniques for stochastic differential equations by Alexander Veretennikov

    Published 2021-03-01
    “…The paper discusses several techniques which may be used for applying the coupling method to solutions of stochastic differential equations (SDEs). The coupling techniques traditionally consist of two components: one is local mixing, the other is recurrence. …”
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