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DeepLINK-T: deep learning inference for time series data using knockoffs and LSTM
April 9, 2024, 4:42 a.m. | Wenxuan Zuo, Zifan Zhu, Yuxuan Du, Yi-Chun Yeh, Jed A. Fuhrman, Jinchi Lv, Yingying Fan, Fengzhu Sun
cs.LG updates on arXiv.org arxiv.org
Abstract: High-dimensional longitudinal time series data is prevalent across various real-world applications. Many such applications can be modeled as regression problems with high-dimensional time series covariates. Deep learning has been a popular and powerful tool for fitting these regression models. Yet, the development of interpretable and reproducible deep-learning models is challenging and remains underexplored. This study introduces a novel method, Deep Learning Inference using Knockoffs for Time series data (DeepLINK-T), focusing on the selection of significant …
abstract applications arxiv cs.lg data deep learning deep learning inference development inference knockoffs lstm popular q-bio.qm regression series stat.ml time series tool type world
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