Statistical Learning With Time Series Dependence: An Application to Scoring Sleep in Mice
考虑时间序列依赖的统计学习：小鼠睡眠评分应用
We develop methodology which combines statistical learning methods with generalized Markov models, thereby enhancing the former to account for time series dependence. Our methodology can accommodate very general and very long-term time dependence structures in an easily estimable and computationally tractable fashion. We apply our methodology to the scoring of sleep behavior in mice. As currently used methods are expensive, invasive, and labor intensive, there is…