2 papers
stat.ME2025
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…
stat.AP2025
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…