activity
20212025
most citedNonstationary functional time series forecasting

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

stat.AP2025

Mortality Models Ensemble via Shapley Value

Giovanna Bimonte, Maria Russolillo, Han Lin Shang +1

Model averaging techniques in the actuarial literature aim to forecast future longevity appropriately by combining forecasts derived from various models. This approach often yields…

stat.ME2024★ 1 cited

Nonstationary functional time series forecasting

Han Lin Shang, Yang Yang

We propose a nonstationary functional time series forecasting method with an application to age-specific mortality rates observed over the years. The method begins by taking the fi…

stat.AP2024

Is the age pension in Australia sustainable and fair? Evidence from forecasting the old-age dependency ratio using the Hamilton-Perry model

Sizhe Chen, Han Lin Shang, Yang Yang

The age pension aims to assist eligible elderly Australians meet specific age and residency criteria in maintaining basic living standards. In designing efficient pension systems,…

stat.ME2021

Forecasting high-dimensional functional time series with dual-factor structures

Chen Tang, Han Lin Shang, Yanrong Yang +1

We propose a dual-factor model for high-dimensional functional time series (HDFTS) that considers multiple populations. The HDFTS is first decomposed into a collection of functiona…

stat.ME2021

Feature Extraction for Functional Time Series: Theory and Application to NIR Spectroscopy Data

Yang Yang, Yanrong Yang, Han Lin Shang

We propose a novel method to extract global and local features of functional time series. The global features concerning the dominant modes of variation over the entire function do…