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Estimating spot volatility under infinite variation jumps with dependent market microstructure noise Journal article
Liu, Qiang, Liu, Zhi. Estimating spot volatility under infinite variation jumps with dependent market microstructure noise[J]. Econometrics Journal, 2024, 27(2), 278-298.
Authors:  Liu, Qiang;  Liu, Zhi
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:2.9/4.8 | Submit date：2024/07/04
Dependent Market Microstructure Noise  Empirical Characteristic Function  High-frequency Data  Jump Activity  Jumps  Kernel Smoothing  Pre-averaging  Spot Volatility  
Large-scale Geospatial Analytics: Problems, Challenges, and Opportunities Conference paper
Chan, Tsz Nam, Leong Hou, U., Choi, Byron, Xu, Jianliang, Cheng, Reynold. Large-scale Geospatial Analytics: Problems, Challenges, and Opportunities[C], 2023, 21-29.
Authors:  Chan, Tsz Nam;  Leong Hou, U.;  Choi, Byron;  Xu, Jianliang;  Cheng, Reynold
Favorite | TC[Scopus]:4 | Submit date：2023/07/20
Efficient Algorithm And Software Development  Geospatial Analytics  Gis  K-function  Kernel Density Visualization  
Global and Local Scaling Limits for Linear Eigenvalue Statistics of Jacobi β-Ensembles Book chapter
出自: Operator Theory: Advances and Applications:Springer Science and Business Media Deutschland GmbH, 2022, 页码:531-559
Authors:  Min, Chao;  Chen, Yang
Favorite | TC[Scopus]:0 | Submit date：2023/03/06
Bessel Kernel  Jacobi Β-ensembles  Linear Eigenvalue Statistics  Mean And Variance  Moment-generating Function  Sine Kernel  
Global and Local Scaling Limits for the linear eigenvalues statitics of Jacobi beta-ensembles Journal
创刊日期: 2022, 收录类别: SCIE, 出版者: Springer Nature Switzerland AG 2022, ISSN: 978-3-031-13850-8
Authors:  CHEN YANG
Adobe PDF | Favorite |  | Submit date：2022/09/12
Linear Eigenvalue Statistics Jacobi Β-ensembles  Moment-generating Function  Mean And Variance  Sine Kernel  Bessel Kernel  
Gaussian process image classification based on multi-layer convolution kernel function Journal article
Xu, Lixiang, Zhou, Biao, Li, Xinlu, Wu, Zhize, Chen, Yan, Wang, Xiaofeng, Tang, Yuanyan. Gaussian process image classification based on multi-layer convolution kernel function[J]. NEUROCOMPUTING, 2022, 480, 99-109.
Authors:  Xu, Lixiang;  Zhou, Biao;  Li, Xinlu;  Wu, Zhize;  Chen, Yan; et al.
Favorite | TC[WOS]:9 TC[Scopus]:12  IF:5.5/5.5 | Submit date：2022/05/04
Convolution Kernel Function  Gaussian Process  Image Classification  Multi-layer Kernel  
Semi-supervised multi-Layer convolution kernel learning in credit evaluation Journal article
Xu, Lixiang, Cui, Lixin, Weise, Thomas, Li, Xinlu, Wu, Zhize, Nie, Feiping, Chen, Enhong, Tang, Yuanyan. Semi-supervised multi-Layer convolution kernel learning in credit evaluation[J]. PATTERN RECOGNITION, 2021, 120, 108125.
Authors:  Xu, Lixiang;  Cui, Lixin;  Weise, Thomas;  Li, Xinlu;  Wu, Zhize; et al.
Favorite | TC[WOS]:12 TC[Scopus]:14  IF:7.5/7.6 | Submit date：2021/12/09
Convolution Kernel Function  Multi-layer Kernel  Random Sampling  Semi-supervised Learning  Svm  
Sparse online kernelized actor-critic Learning in reproducing kernel Hilbert space Journal article
Yang, Yongliang, Zhu, Hufei, Zhang, Qichao, Zhao, Bo, Li, Zhenning, Wunsch, Donald C.. Sparse online kernelized actor-critic Learning in reproducing kernel Hilbert space[J]. Artificial Intelligence Review, 2021, 55, 23-58.
Authors:  Yang, Yongliang;  Zhu, Hufei;  Zhang, Qichao;  Zhao, Bo;  Li, Zhenning; et al.
Favorite | TC[WOS]:25 TC[Scopus]:25  IF:10.7/11.7 | Submit date：2022/02/21
Actor-critic Learning  Non-parametric Learning  Online Sparsification  Reproducing Kernel Hilbert Space  Value Function Approximation  
Hybrid forecasting method for wind power integrating spatial correlation and corrected numerical weather prediction Journal article
Hu, Shuai, Xiang, Yue, Zhang, Hongcai, Xie, Shanyi, Li, Jianhua, Gu, Chenghong, Sun, Wei, Liu, Junyong. Hybrid forecasting method for wind power integrating spatial correlation and corrected numerical weather prediction[J]. Applied Energy, 2021, 293(116951).
Authors:  Hu, Shuai;  Xiang, Yue;  Zhang, Hongcai;  Xie, Shanyi;  Li, Jianhua; et al.
Favorite | TC[WOS]:77 TC[Scopus]:97  IF:10.1/10.4 | Submit date：2021/09/09
Wind Power Forecasting  Hybrid Model  Gaussian Process  Numerical Weather Prediction  Spatial Correlation  Kernel Function  
Novel Sampling Formulas Associated with Quaternionic Prolate Spheroidal Wave functions Journal article
Cheng, Dong, Kou, Kit Ian. Novel Sampling Formulas Associated with Quaternionic Prolate Spheroidal Wave functions[J]. ADVANCES IN APPLIED CLIFFORD ALGEBRAS, 2017, 27(4), 2961-2983.
Authors:  Cheng, Dong;  Kou, Kit Ian
Favorite | TC[WOS]:7 TC[Scopus]:12  IF:1.1/1.1 | Submit date：2018/10/30
Spectral Theorem  Prolate Spheroidal Wave Function  Quaternion Reproducing-kernel Hilbert Spaces  Quaternion Fourier Transform  Whittaker-shannon-kotel'nikov Sampling Formula  
Computational geometric and boundary value properties of Oblate Spheroidal Quaternionic Wave Functions Journal article
Morais,J., Pérez-de la Rosa,M. A., Kou,K. I.. Computational geometric and boundary value properties of Oblate Spheroidal Quaternionic Wave Functions[J]. Wave Motion, 2015, 57, 112-128.
Authors:  Morais,J.;  Pérez-de la Rosa,M. A.;  Kou,K. I.
Favorite | TC[WOS]:6 TC[Scopus]:6  IF:2.1/1.9 | Submit date：2021/03/11
Bergman Kernel Function  Ferrer's Associated Legendre Functions  Helmholtz Equation  Oblate Spheroidal Wave Functions  Quaternionic Analysis