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Parameter estimation of stochastic differential equation
Published 2012“…Regression spline with Bayesian approach is considered in the first step of a two-step method in estimating the structural parameters for stochastic differential equation (SDE). The selection of knot and order of spline can be done heuristically based on the scatter plot. …”
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Parameter estimation in stochastic differential equations
Published 2010“…Financial processes as processes in nature, are subject to stochastic fluctuations. Stochastic differential equations turn out to be an advantageous representation of such noisy, real-world problems, and together with their identification, they play an important role in the sectors of finance, but also in physics and biotechnology. …”
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Fundamental Properties of Nonlinear Stochastic Differential Equations
Published 2022-07-01Subjects: Get full text
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Efficient Memristive Stochastic Differential Equation Solver
Published 2023-08-01Subjects: Get full text
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On Caputo–Katugampola Fractional Stochastic Differential Equation
Published 2022-06-01Get full text
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Data-Driven Discovery of Stochastic Differential Equations
Published 2022-10-01Subjects: Get full text
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Derivation of stochastic Taylor methods for stochastic differential equations
Published 2017“…This paper demonstrates a derivation of stochastic Taylor methods for stochastic differential equations (SDEs). The stochastic Taylor series is extended and truncated at certain terms to achieve the order of convergence of stochatsic Taylor methods for SDEs. …”
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Polynomial asymptotic stability of damped stochastic differential equations
Published 2004-08-01“…The paper studies the polynomial convergence of solutions of a scalar nonlinear It\^{o} stochastic differential equation\[dX(t) = -f(X(t))\,dt + \sigma(t)\,dB(t)\] where it is known, {\it a priori}, that $\lim_{t\rightarrow\infty} X(t)=0$, a.s. …”
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Affine periodic solutions for some stochastic differential equations
Published 2023-07-01Subjects: “…Stochastic differential equations…”
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Latent Stochastic Differential Equations for Change Point Detection
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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Predictability and uniqueness of weak solutions of the stochastic differential equations
Published 2023-01-01Subjects: Get full text
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Synthesis Weibull Stochastic Differential Equation: Properties and application
Published 2024-03-01Subjects: Get full text
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On the Asymptotic Equivalence of Ordinary and Functional Stochastic Differential Equations
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On stochastic differential equations driven by skew stable processes
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Lie-Point Symmetries and Backward Stochastic Differential Equations
Published 2019-09-01Subjects: “…backward stochastic differential equation…”
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Stability results for neutral fractional stochastic differential equations
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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Fractional Stochastic Differential Equation Approach for Spreading of Diseases
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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Construction of stochastic differential equations of motion in canonical variables
Published 2022-09-01Subjects: “…stochastic differential equation…”
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Numerical methods for Stochastic differential equations: two examples
Published 2018-01-01“…First we present a contribution to a recently introduced problem: stochastic differential equations with constraints in law, investigated through various theoretical and numerical viewpoints. …”
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Modeling Cholera Epidemiology Using Stochastic Differential Equations
Published 2023-01-01“…Then, we formulated it as a stochastic differential equation for the number of infectious individuals It under the role of the aquatic environment. …”
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