Multinomial thresholded LASSO for interpretable dimension reduction of human activity sequences
多项阈值化LASSO用于人类活动序列的可解释降维
The widespread collection of data from mobile and wearable devices has created unprecedented opportunities to study human behavior in fine temporal resolution. One common structure for such data is categorical sequences: ordered, multinomial observations across many time points. These sequences present unique statistical challenges due to their high dimensionality and complex temporal dependence, including both short- and long-term correlations. Yet, there has been…