Addressing zero-inflated and mis-measured functional predictors in scalar-on-function regression model
标量对函数回归中零膨胀与测量误差的函数型预测变量处理
Wearable devices are often used in clinical and epidemiological studies to monitor physical activity behavior and its influence on health outcomes. These devices are worn over multiple days to record activity patterns, such as step counts recorded at the minute level, resulting in multi-level, longitudinal, high-dimensional, or functional data. When monitoring patterns of step counts over multiple days, devices may record excess zeros during periods of sedentary behavior or…