33 citations · 136 across the 34 of their papers we have counts for
37 papers
Forecasting Australian fertility by age, region, and birthplace
Yang Yang, Han Lin Shang, James Raymer
Fertility differentials by urban-rural residence and nativity of women in Australia significantly impact population composition at sub-national levels. We aim to provide consistent…
Forecasting high-dimensional functional time series: Application to sub-national age-specific mortality
Cristian F. Jiménez-Varón, Ying Sun, Han Lin Shang
We study the modeling and forecasting of high-dimensional functional time series (HDFTS), which can be cross-sectionally correlated and temporally dependent. We introduce a decompo…
Detection and Estimation of Structural Breaks in High-Dimensional Functional Time Series
Degui Li, Runze Li, Han Lin Shang
In this paper, we consider detecting and estimating breaks in heterogeneous mean functions of high-dimensional functional time series which are allowed to be cross-sectionally corr…
A robust scalar-on-function logistic regression for classification
Muge Mutis, Ufuk Beyaztas, Gulhayat Golbasi Simsek +1
Scalar-on-function logistic regression, where the response is a binary outcome and the predictor consists of random curves, has become a general framework to explore a linear relat…
A Robust Functional Partial Least Squares for Scalar-on-Multiple-Function Regression
Ufuk Beyaztas, Han Lin Shang
The scalar-on-function regression model has become a popular analysis tool to explore the relationship between a scalar response and multiple functional predictors. Most of the exi…
Clustering and Forecasting Multiple Functional Time Series
Chen Tang, Han Lin Shang, Yanrong Yang
Modelling and forecasting homogeneous age-specific mortality rates of multiple countries could lead to improvements in long-term forecasting. Data fed into joint models are often g…