3 citations · 3 across the 5 of their papers we have counts for
5 papers
Reconstructing and Forecasting Marine Dynamic Variable Fields across Space and Time Globally and Gaplessly
Zhixi Xiong, Yukang Jiang, Wenfang Lu +2
Spatiotemporal projections in marine science are essential for understanding ocean systems and their impact on Earth's climate. However, existing AI-based and statistics-based inve…
Regionalization of China's PM2.5 through Robust Spatio temporal Functional Clustering Method
Tingyin Wang, Xueqin Wang, Xiaobo Guo +1
The patterns of particulate matter with diameters that are generally 2.5 micrometers and smaller (PM2.5) are heterogeneous in China nationwide but can be homogeneous region-wide. T…
Best-Subset Selection in Generalized Linear Models: A Fast and Consistent Algorithm via Splicing Technique
Junxian Zhu, Jin Zhu, Borui Tang +3
In high-dimensional generalized linear models, it is crucial to identify a sparse model that adequately accounts for response variation. Although the best subset section has been w…
Batch mode active learning for efficient parameter estimation
Wei Zheng, Ting Tian, Xueqin Wang
For many tasks of data analysis, we may only have the information of the explanatory variable and the evaluation of the response values are quite expensive. While it is impractical…
Interpreting and predicting the economy flows: A time-varying parameter global vector autoregressive integrated the machine learning model
Yukang Jiang, Xueqin Wang, Zhixi Xiong +2
The paper proposes a time-varying parameter global vector autoregressive (TVP-GVAR) framework for predicting and analysing developed region economic variables. We want to provide a…