Individualized dynamic latent factor model for multi-resolutional data with application to mobile health
面向多分辨率数据的个体化动态潜因子模型及其移动健康应用
Summary Mobile health has emerged as a major success for tracking individual health status, due to the popularity and power of smartphones and wearable devices. This has also brought great challenges in handling heterogeneous, multi-resolution data that arise ubiquitously in mobile health due to irregular multivariate measurements collected from individuals. In this paper, we propose an individualized dynamic latent factor model for irregular multi-resolution time series…