2 citations · 3 across the 11 of their papers we have counts for
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stat.ME2022
Renewable Learning for Multiplicative Regression with Streaming Datasets
Tianzhen Wang, Haixiang Zhang, Liuquan Sun
When large amounts of data continuously arrive in streams, online updating is an effective way to reduce storage and computational burden. The key idea of online updating is that t…
stat.ME2022★ 2 cited
Inference on High-dimensional Single-index Models with Streaming Data
Dongxiao Han, Jinhan Xie, Jin Liu +4
Traditional statistical methods are faced with new challenges due to streaming data. The major challenge is the rapidly growing volume and velocity of data, which makes storing suc…
stat.ME2022★ 1 cited
Approximating Partial Likelihood Estimators via Optimal Subsampling
Haixiang Zhang, Lulu Zuo, HaiYing Wang +1
With the growing availability of large-scale biomedical data, it is often time-consuming or infeasible to directly perform traditional statistical analysis with relatively limited…