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Numerical computation of probabilities for nonlinear SDEs in high dimension using Kolmogorov equation br 期刊论文
APPLIED MATHEMATICS AND COMPUTATION, 2023, 卷号: 436, 页码: 17
作者:  Flandoli, Franco;  Luo, Dejun;  Ricci, Cristiano
收藏  |  浏览/下载：72/0  |  提交时间：2023/02/07
High dimensional Kolmogorov equation  Numerical solution  Iteration scheme  Gaussian process  
Gaussian limit for determinantal point processes with J-Hermitian kernels 期刊论文
SCIENCE CHINA-MATHEMATICS, 2022, 页码: 16
作者:  Lin, Zhaofeng;  Qiu, Yanqi;  Wang, Kai
收藏  |  浏览/下载：63/0  |  提交时间：2023/02/07
determinantal point process  J-Hermitian kernel  linear statistics  central limit theorem  translation-invariant kernel  
Probabilistic and deterministic wind speed forecasting based on non-parametric approaches and wind characteristics information 期刊论文
APPLIED ENERGY, 2022, 卷号: 306, 页码: 13
作者:  Heng, Jiani;  Hong, Yongmiao;  Hu, Jianming;  Wang, Shouyang
收藏  |  浏览/下载：98/0  |  提交时间：2022/04/02
Probabilistic and deterministic wind speed  forecasting  Wind characteristic information  Probability density functions  Generalized Gaussian process  Pseudo-Likelihood  
Statistical estimation in passenger-to-train assignment models based on automated data 期刊论文
APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY, 2021, 页码: 21
作者:  Xiong, Shifeng;  Li, Chunya;  Sun, Xuan;  Qin, Yong;  Wu, Chien-Fu Jeff
收藏  |  浏览/下载：116/0  |  提交时间：2022/04/02
EM algorithm  Gaussian process interpolation  nonparametric density estimation  passenger flow  spline  
A Gaussian Process Emulator Based Approach for Bayesian Calibration of a Functional Input 期刊论文
TECHNOMETRICS, 2021, 页码: 13
作者:  Li, Zhaohui;  Tan, Matthias Hwai Yong
收藏  |  浏览/下载：99/0  |  提交时间：2022/04/02
Bayesian calibration  Dimension reduction  Functional input  Sequential design  
Optimal design for kernel interpolation: Applications to uncertainty quantification 期刊论文
JOURNAL OF COMPUTATIONAL PHYSICS, 2021, 卷号: 430, 页码: 19
作者:  Narayan, Akil;  Yan, Liang;  Zhou, Tao
收藏  |  浏览/下载：138/0  |  提交时间：2021/04/26
Kernel interpolation  Fekete points  Cholesky decomposition with pivoting  Hermite interpolation  Uncertainty quantification  
A numerical approach to Kolmogorov equation in high dimension based on Gaussian analysis 期刊论文
JOURNAL OF MATHEMATICAL ANALYSIS AND APPLICATIONS, 2021, 卷号: 493, 期号: 1, 页码: 29
作者:  Flandoli, Franco;  Luo, Dejun;  Ricci, Cristiano
收藏  |  浏览/下载：173/0  |  提交时间：2021/01/14
Kolmogorov equation  Numerical solution  Iteration schema  Gaussian process  
A sequential design strategy for integrating low-accuracy and high-accuracy computer experiments 期刊论文
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, 2020, 页码: 8
作者:  Li, Xinmin;  Wang, Xiao;  Xiong, Shifeng
收藏  |  浏览/下载：164/0  |  提交时间：2021/04/26
Gaussian process model  Multi-fidelity  Optimal design  Space-filling design  
Modeling basketball games by inverse Gaussian processes 期刊论文
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, 2020, 页码: 11
作者:  Tian, Xinyu;  Gao, Yiran;  Shi, Jian
收藏  |  浏览/下载：163/0  |  提交时间：2020/09/23
Bayesian method  Betting  In-game prediction  Inverse Gaussian process  
Bayesian integrative analysis for multi-fidelity computer experiments 期刊论文
JOURNAL OF APPLIED STATISTICS, 2019, 卷号: 46, 期号: 11, 页码: 1973-1987
作者:  Wei, Yunfei;  Xiong, Shifeng
收藏  |  浏览/下载：182/0  |  提交时间：2020/01/10
Correlated priors  Gaussian process  Kriging  penalization  uncertainty quantification