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Updated: Jan 14, 2026

Cross-Modal Multivariate Pattern Analysis
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空间多变量数据可扩展隐性高斯模型的网格和参数扩展

Michele Peruzzi1, Sudipto Banerjee2, David B Dunson3

  • 1Department of Biostatistics, University of Michigan School of Public Health.

Bayesian analysis
|October 20, 2025
PubMed
概括

本研究介绍了网格和参数扩展,以增强马尔科夫链蒙特卡洛 (MCMC) 算法,用于大型数据集上的空间高斯过程 (GPs). 这些方法提高了计算效率和每单位时间 (ESS/s) 的有效样本大小,用于可扩展的空间建模.

关键词:
斯过程是高斯过程.马尔科夫连锁蒙特卡罗的蒙特卡罗是一个大数据就是大数据.定向非循环图是指向的非循环图.参数扩展 参数扩展可扩展的可扩展的可扩展.

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