[State Estimation] 2.2.8 Passing a Gaussian throught a Nonlinearity

将高斯 PDF 通过非线性函数，结果使用高斯变换表示。
这涉及到 linearization 。
问题的定义是有 \(\mathbf{x}\) 符合高斯噪声（即已知 \(p(\mathbf{x})\)），有变换 \(g(\cdot): \mathbf{x} \to \mathbf{y}\)（即已知 \(p(\mathbf{y}|\mathbf{x})\)），求 \(p(\mathbf{y})\)。

本栏目推荐文章
• 3d gaussian splatting流程记录
• GMMSeg: Gaussian Mixture based Generative Semantic Segmentation Models
• R语言和Python对copula模型Gaussian、t、Clayton 和 Gumbel 族可视化理论概念和文献计量使用情况
• A named channel for communicating with platform plugins using asynchronous /// message passing.
• [论文阅读] Learning Semi-supervised Gaussian Mixture Model
• Proj CDeepFuzz Paper Reading: Aries: Efficient Testing of Deep Neural Networks via Labeling-Free Accuracy Estimation
• Kernel panic - not syncing: No init found. Try passing init= option to kernel
• Extended Kalman Filter vs. Error State Kalman Filter for Aircraft Attitude Estimation笔记
• [React Typescript] Passing Type Arguments To Components
• [SIGMOD 2022]Lightweight and Accurate Cardinality Estimation by Neural Network Gaussian Process