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  1. No Access

    Article

    Wavelet-based Bayesian approximate kernel method for high-dimensional data analysis

    Kernel methods are often used for nonlinear regression and classification in statistics and machine learning because they are computationally cheap and accurate. The wavelet kernel functions based on wavelet a...

    Wenxing Guo, Xueying Zhang, Bei Jiang, Linglong Kong in Computational Statistics (2024)

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    Article

    Nonlinear McKean-Vlasov Diffusions under the Weak Hörmander Condition with Quantile-Dependent Coefficients

    In this paper, the strong existence and uniqueness for a degenerate finite system of quantile-dependent McKean-Vlasov stochastic differential equations are obtained under a weak Hörmander condition. The approa...

    Yaozhong Hu, Michael A. Kouritzin, Jiayu Zheng in Potential Analysis (2024)

  3. No Access

    Article

    Matching upper and lower moment bounds for a large class of stochastic PDEs driven by general space-time Gaussian noises

    In this paper, we obtain matching upper and lower moment bounds for the solution to stochastic partial differential equation driven by a general Gaussian noise, giving a complete answer to the open problem of ...

    Yaozhong Hu, **ong Wang in Stochastics and Partial Differential Equat… (2024)

  4. No Access

    Article

    Solvability of Parabolic Anderson Equation with Fractional Gaussian Noise

    This paper provides necessary as well as sufficient conditions on the Hurst parameters so that the continuous time parabolic Anderson model $$...

    Zhen-Qing Chen, Yaozhong Hu in Communications in Mathematics and Statistics (2023)

  5. No Access

    Article

    Backward Euler method for stochastic differential equations with non-Lipschitz coefficients driven by fractional Brownian motion

    We study the traditional backward Euler method for stochastic differential equation driven by fractional Brownian motion whose drift coefficient satisfies the one-sided Lipschitz condition. The backward Euler ...

    Hao Zhou, Yaozhong Hu, Yanghui Liu in BIT Numerical Mathematics (2023)

  6. No Access

    Article

    Driver-in-the-Loop Handling Stability Control of 4WID-EV

    An eight-degree-of-freedom vehicle dynamic model with electromechanical coupling was established for a four-wheel-independent-drive electric vehicle (4WID-EV). Based on the single-point preview optimal curvatu...

    Jun Liu, Huajian Weng, Yaozhong Hu, He Huang in International Journal of Automotive Techno… (2022)

  7. No Access

    Article

    Estimation of all parameters in the fractional Ornstein–Uhlenbeck model under discrete observations

    Let the Ornstein–Uhlenbeck process \((X_t)_{t\ge 0}\) ( ...

    El Mehdi Haress, Yaozhong Hu in Statistical Inference for Stochastic Processes (2021)

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    Article

    Generalized moment estimators for \(\alpha \)-stable Ornstein–Uhlenbeck motions from discrete observations

    We study the parameter estimation problem for discretely observed Ornstein–Uhlenbeck processes driven by \(\alpha \)α-stable Lévy motions. A method of moments via ergodic theory and via sample characteristic func...

    Yiying Cheng, Yaozhong Hu, Hongwei Long in Statistical Inference for Stochastic Processes (2020)

  9. No Access

    Article

    Higher-Order Derivative of Intersection Local Time for Two Independent Fractional Brownian Motions

    In this article, we obtain sharp conditions for the existence of the high-order derivatives (k-th order) of intersection local time $$...

    **gjun Guo, Yaozhong Hu, Journal of Theoretical Probability (2019)

  10. Article

    Preface

    Yaozhong Hu in Acta Mathematica Scientia (2019)

  11. No Access

    Article

    Joint Hölder Continuity of Parabolic Anderson Model

    We obtain the Holder continuity and joint Hölder continuity in space and time for the random field solution to the parabolic Anderson equation ...

    Yaozhong Hu, Khoa Lê in Acta Mathematica Scientia (2019)

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    Article

    Some Recent Progress on Stochastic Heat Equations

    This article attempts to give a short survey of recent progress on a class of elementary stochastic partial differential equations (for example, stochastic heat equations) driven by Gaussian noise of various c...

    Yaozhong Hu in Acta Mathematica Scientia (2019)

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    Article

    On the Necessary and Sufficient Conditions to Solve A Heat Equation with General Additive Gaussian Noise

    In this note, we consider stochastic heat equation with general additive Gaussian noise. Our aim is to derive some necessary and sufficient conditions on the Gaussian noise in order to solve the corresponding ...

    Yaozhong Hu, Yanghui Liu, Samy Tindel in Acta Mathematica Scientia (2019)

  14. No Access

    Article

    Parameter estimation for fractional Ornstein–Uhlenbeck processes of general Hurst parameter

    This paper studies the least squares estimator (LSE) for the drift parameter of an Ornstein–Uhlenbeck process driven by fractional Brownian motion, whose observations can be made either continuously or at disc...

    Yaozhong Hu, David Nualart, Hongjuan Zhou in Statistical Inference for Stochastic Processes (2019)

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    Article

    Identification of the miRNA-mRNA regulatory network of antler growth centers

    Antler growth is a unique event compared to other growth and development processes in mammals. Antlers grow extremely fast during the rapid growth stage when growth rate peaks at 2 cm per day. Antler growth is...

    Bao** Yao, Mei Zhang, Meixin Liu, Bocheng Lu, **angyang Leng in Journal of Biosciences (2019)

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    Article

    Antler extracts stimulate chondrocyte proliferation and possess potent anti-oxidative, anti-inflammatory, and immune-modulatory properties

    The Sika deer antler is well known for its unique ability to regenerate repeatedly and grow rapidly. Furthermore, it is a precious traditional Chinese medicine and has been widely used for more than 20 centuri...

    Bao** Yao, Mei Zhang, **angyang Leng in In Vitro Cellular & Developmental Biology … (2018)

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    Article

    Intermittency for the stochastic heat equation driven by a rough time fractional Gaussian noise

    This paper studies the stochastic heat equation driven by time fractional Gaussian noise with Hurst parameter \(H\in (0,1/2)\) ...

    Le Chen, Yaozhong Hu, Kamran Kalbasi in Probability Theory and Related Fields (2018)

  18. No Access

    Chapter and Conference Paper

    Parabolic Anderson Model with Rough Dependence in Space

    This paper studies the one-dimensional parabolic Anderson model driven by a Gaussian noise which is white in time and has the covariance of a fractional Brownian motion with Hurst parameter

    Yaozhong Hu, **gyu Huang, Khoa Lê in Computation and Combinatorics in Dynamics,… (2018)

  19. No Access

    Article

    Two-point Correlation Function and Feynman-Kac Formula for the Stochastic Heat Equation

    In this paper, we obtain an explicit formula for the two-point correlation function for the solutions to the stochastic heat equation on ...

    Le Chen, Yaozhong Hu, David Nualart in Potential Analysis (2017)

  20. Chapter and Conference Paper

    Nonlinear Young Integrals via Fractional Calculus

    For Hölder continuous functions W(tx) and \(\varphi _t\) ...

    Yaozhong Hu, Khoa N. Lê in Stochastics of Environmental and Financial Economics (2016)

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