4 papers
Spatial Modeling and Risk Zoning of Global Extreme Precipitation via Graph Neural Networks and r-Pareto Processes
Zimu Wang, Yifan Wu, Daning Bi
Extreme precipitation events occurring over large spatial domains pose substantial threats to societies because they can trigger compound flooding, landslides, and infrastructure f…
Homogeneity and Sub-homogeneity Pursuit: Iterative Complement Clustering PCA
Daning Bi, Le Chang, Yanrong Yang
Principal component analysis (PCA), the most popular dimension-reduction technique, has been used to analyze high-dimensional data in many areas. It discovers the homogeneity withi…
Spiked eigenvalues of high-dimensional sample autocovariance matrices: CLT and applications
Daning Bi, Xiao Han, Adam Nie +1
High-dimensional autocovariance matrices play an important role in dimension reduction for high-dimensional time series. In this article, we establish the central limit theorem (CL…
AR-sieve Bootstrap for High-dimensional Time Series
Daning Bi, Han Lin Shang, Yanrong Yang +1
This paper proposes a new AR-sieve bootstrap approach to high-dimensional time series. The major challenge of classical bootstrap methods on high-dimensional time series is two-fol…