10 papers
Conformal prediction for functional time series: Application to age-specific mortality rates
Han Lin Shang
In demographic literature, forecast uncertainty is often quantified with a statistical model. This model-based approach may potentially suffer from drawbacks, namely model misspeci…
White noise testing for functional time series via functional quantile autocorrelation
Ãngel López-Oriona, Ying Sun, Hanlin Shang
We introduce a novel class of nonlinear tests for serial dependence in functional time series, grounded in the functional quantile autocorrelation framework. Unlike traditional app…
A Beta-GAM Hidden Markov Model for Proportion Time Series
Andrea Nigri, Han Lin Shang, Marco Bonetti
We propose a hidden Markov model for univariate proportion time series taking values in (0,1), where regime switching captures latent structural changes and the emission distributi…
Spherical Spatial Autoregressive Model for Spherically Embedded Spatial Data
Jiazhen Xu, Han Lin Shang
Spherically embedded spatial data are spatially indexed observations whose values naturally reside on or can be equivalently mapped to the unit sphere. Such data are increasingly u…
On the Distributed Estimation for Scalar-on-Function Regression Models
Peilun He, Han Lin Shang, Nan Zou
This paper proposes distributed estimation procedures for three scalar-on-function regression models: the functional linear model (FLM), the functional non-parametric model (FNPM),…
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…