3 papers
math.ST2025
From sparse to dense functional data in high dimensions: Revisiting phase transitions from a non-asymptotic perspective
Shaojun Guo, Dong Li, Xinghao Qiao +1
Nonparametric estimation of the mean and covariance functions is ubiquitous in functional data analysis and local linear smoothing techniques are most frequently used. Zhang and Wa…
stat.ML2024
Deep Functional Factor Models: Forecasting High-Dimensional Functional Time Series via Bayesian Nonparametric Factorization
Yirui Liu, Xinghao Qiao, Yulong Pei +1
This paper introduces the Deep Functional Factor Model (DF2M), a Bayesian nonparametric model designed for analysis of high-dimensional functional time series. DF2M is built upon t…
stat.ME2024
Factor modelling for high-dimensional functional time series
Shaojun Guo, Xinghao Qiao, Qingsong Wang +1
Many economic and scientific problems involve the analysis of high-dimensional functional time series, where the number of functional variables diverges as the number of serial…