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On the application of Gaussian process latent force models for joint input-state-parameter estimation: With a view to Bayesian operational identification

机译：关于高斯过程潜力模型对联合输入 - 状态参数估计的应用：以贝叶斯运营识别为视图

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T.J. Rogers; K. Worden; E.J. Cross;
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年度 2020
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1. On the application of Gaussian process latent force models for joint input-state-parameter estimation: With a view to Bayesian operational identification [J] . T.J. Rogers, K. Worden, E.J. Cross Mechanical systems and signal processing . 2020,第Juna期

机译：高斯过程潜力模型在联合输入状态参数估计中的应用：以贝叶斯辨识为目的
2. A Gaussian process latent force model for joint input-state estimation in linear structural systems [J] . Nayek Rajdip, Chakraborty Souvik, Narasimhan Sriram Mechanical systems and signal processing . 2019,第AUGa1期

机译：线性结构系统中联合输入状态估计的高斯过程潜力模型
3. A Gaussian process latent force model for joint input-state estimation in linear structural systems [J] . Nayek Rajdip, Chakraborty Souvik, Narasimhan Sriram Mechanical systems and signal processing . 2019,第Auga1期

机译：线性结构系统联合输入 - 级估计的高斯过程潜力模型
4. On the application of Gaussian process latent force models for Bayesian identification of the Duffing system [C] . T. Friis, R. Brincker, T. J. Rogers International Conference on Uncertainty in Structural Dynamics;International Conference on Noise and Vibration Engineering . 2021

机译：高斯工艺潜力模型在贝叶斯识别达夫系统的应用
5. Latent Variable Models for Non-Gaussian Data with Applications to Genome-Wide Variation [D] . Hao, Wei. 2018

机译：非高斯数据的潜在变量模型及其在全基因组变异中的应用
6. Joint estimation of multiple dependent Gaussian graphical models withapplications to mouse genomics [O] . Yuying Xie, Yufeng Liu, William Valdar -1

机译：具有多个依赖高斯图形模型的联合估计在小鼠基因组学中的应用
7. A Gaussian process latent force model for joint input-state estimation in linear structural systems [O] . Rajdip Nayek, Souvik Chakraborty, Sriram Narasimhan 2019

机译：线性结构系统联合输入 - 级估计的高斯过程潜力模型
8. High-Level Adaptive Signal Processing Architecture with Applications to Radar Non-Gaussian Clutter. Volume 3. Spherically Invariant Random Processes for Radar Clutter Modeling, Simulation, and Distribution Identification [R] . Rangaswamy, M. 1995

机译：高级自适应信号处理结构及其在雷达非高斯杂波中的应用。第3卷。用于雷达杂波建模，仿真和分布识别的球面不变随机过程

On the application of Gaussian process latent force models for joint input-state-parameter estimation: With a view to Bayesian operational identification

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