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From the 1 of 5 linked papers with an AI index.

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20242026
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5 papers

stat.ME2026

Bias Correction of Long-memory Estimator of Functional Time Series via the Prefiltered Sieve Bootstrap

Chang Liu, Han Lin Shang

The paper proposes a bias‑correction method using a prefiltered sieve bootstrap to improve estimation of the long‑memory parameter in stationary or nonstationary fractionally integ…

stat.ME2025

AR-sieve Bootstrap for High-dimensional Time Series

Daning Bi, Han Lin Shang, Yanrong Yang +1

This paper proposes a new AR-sieve bootstrap approach to high-dimensional time series. The major challenge of classical bootstrap methods on high-dimensional time series is two-fol…

stat.ME2025

Robust Functional Logistic Regression

Berkay Akturk, Ufuk Beyaztas, Han Lin Shang

Functional logistic regression is a popular model to capture a linear relationship between binary response and functional predictor variables. However, many methods used for parame…

stat.AP2024

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…

stat.ME2024

Robust function-on-function interaction regression

Ufuk Beyaztas, Han Lin Shang, Abhijit Mandal

A function-on-function regression model with quadratic and interaction effects of the covariates provides a more flexible model. Despite several attempts to estimate the model's pa…