3 papers
stat.ME2025
Interpretable additive model for analyzing high-dimensional functional time series
Haixu Wang, Tianyu Guan, Han Lin Shang
High-dimensional functional time series offers a powerful framework for extending functional time series analysis to settings with multiple simultaneous dimensions, capturing both…
stat.ML2025
Probabilistic Functional Neural Networks
Haixu Wang, Jiguo Cao
High-dimensional functional time series (HDFTS) are often characterized by nonlinear trends and high spatial dimensions. Such data poses unique challenges for modeling and forecast…
stat.ML2024
Representation learning of dynamic networks
Haixu Wang, Jiguo Cao, Jian Pei
This study presents a novel representation learning model tailored for dynamic networks, which describes the continuously evolving relationships among individuals within a populati…