高斯混合物的平均值
Basheer Joudeh1, Boris Škorić1
1Department of Computer Science and Mathematics, Eindhoven University of Technology, 5612 AZ Eindhoven, The Netherlands.
Entropy (Basel, Switzerland)
|August 29, 2024
概括
本研究介绍了高斯混合物的平均微分的新型序列扩展. 这些发现为复杂的数据分布提供了准确的分析近似,具有错误极限.
科学领域:
- 信息理论 信息理论
- 可能性理论概率理论.
- 统计推理 统计推理
背景情况:
- 高斯混合模型被广泛用于密度估计.
- 计算混合物的微分是计算上具有挑战性的.
- 现有的方法缺乏精确的错误量化.
研究的目的:
- 为了获得高斯混合物的平均微分的分析近似值.
- 提供一种方法来计算近似中更高阶项的方法.
- 为了确定近似的可量化的误差界限.
主要方法:
- 对于微分的序列扩张的导数.
- 在Rn.中分析一个q成分高斯混合物.
- 在协差矩阵 (μ=s2/σ2) 的比率方面进行扩展.
主要成果:
- 获得了高达O(μ2) 的平均微分的分析近似值.
- 开发了一种系统的方法来计算更高阶的术语.
- 该近似包括一个可量化的错误大小.
结论:
- 衍生系列扩展与之前的文献相比,提供了显著的改进.
- 这项工作为分析高斯混合物的信息理论性质提供了有价值的工具.
- 该方法允许精确估计差异,并可控制误差.
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