维斯塔-SSM:通过状态空间模型进行波动和不规则的采样时间序列分析
Benjamin Brindle1, Thomas Derrick Hull2, Matteo Malgaroli3
1Department of Applied Mathematics and Statistics, Johns Hopkins University.
Psychological methods
|August 11, 2025
概括
不同和不规则的采样时间序列分析 (VISTA) 集群复杂的时间序列数据. 这种新方法准确地将多变量,不规则地采样的数据组合起来,性能优于现有技术.
科学领域:
- 数据科学数据科学数据科学
- 机器学习 机器学习
- 统计 统计 统计 统计
背景情况:
- 医疗保健和心理学数据通常具有不规则的抽样.
- 标准的时间序列聚类方法在不同的采样速率上扎.
- 对复杂的数据集而言,无监督的群体识别至关重要.
研究的目的:
- 引入不同和不规则的采样时间序列分析 (VISTA).
- 为多变量,不规则抽样时间序列开发一个聚类方法.
- 为各种时间序列动态提供灵活的框架.
主要方法:
- 使用参数状态空间混合模型.
- 适应线性高斯状态空间模型 (LGSSMs).
- 使用预期最大化算法进行参数匹配.
主要成果:
- VISTA有效地处理具有不规则采样的多变量时间序列.
- 该方法在模拟和现实数据上证明了准确性.
- 维斯塔的性能优于可比的标准时间序列聚类方法.
结论:
- 维斯塔提供了一个强大的解决方案,用于集群不规则采样的时间序列.
- 该方法在医疗保健和传感器数据等各个领域具有多功能.
- 一个开源的Python实现是可用的.
相关概念视频
State Space Representation
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The frequency-domain technique, commonly used in analyzing and designing feedback control systems, is effective for linear, time-invariant systems. However, it falls short when dealing with nonlinear, time-varying, and multiple-input multiple-output systems. The time-domain or state-space approach addresses these limitations by utilizing state variables to construct simultaneous, first-order differential equations, known as state equations, for an nth-order system.
Consider an RLC circuit, a...
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For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length,...
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length,...
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In signal processing, a continuous-time signal can be sampled using an impulse-train sampling technique, followed by the zero-order hold method. Impulse-train sampling involves the use of a periodic impulse train, which consists of a series of delta functions spaced at regular intervals determined by the sampling period. When a continuous-time signal is multiplied by this impulse train, it generates impulses with amplitudes corresponding to the signal's values at the sampling points.
In the...
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Transfer Function to State Space
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State-space representation is a powerful tool for simulating physical systems on digital computers, necessitating the conversion of the transfer function into state-space form. Consider an nth-order linear differential equation with constant coefficients, like those encountered in an RLC circuit. The state variables are selected as the output and its n−1 derivatives. Differentiating these variables and substituting them back into the original equation produces the state equations.
In an...
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Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,
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