Linear Gaussian State Space Model
收藏arXiv2025-09-30 收录
下载链接:
https://github.com/biaslab/ReactiveMPPaperExperiments
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资源简介:
该数据集模拟了具有连续值潜在状态的信号,并使用了包含数十万观测值的大型静态数据集。该数据集用于验证反应式消息传递框架,并展示了其在执行不同信号处理模型推断方面的能力。该数据集规模宏大,包含数十万观测值,其任务是为信号处理应用进行贝叶斯推断。
This dataset simulates signals with continuous-valued latent states, and is a large-scale static dataset encompassing hundreds of thousands of observations. It is employed to validate the reactive message passing framework, and demonstrate its capacity to carry out inference for various signal processing models. Boasting a massive scale with hundreds of thousands of observations, this dataset is designed for Bayesian inference tasks in signal processing applications.
提供机构:
ReactiveMP.jl



