Han Lin Shang

31 papers Journal 31
YearRankTypeTitle / Venue / Authors
2026 J jnl
Enhancing spatial functional linear regression with robust dimension reduction methods.
J. Multivar. Anal.
Ufuk Beyaztas, Abhijit Mandal, Han Lin Shang
2026 J jnl
Penalized spatial function-on-function regression.
Stat. Comput.
Ufuk Beyaztas, Han Lin Shang, Gizel Bakicierler Sezer
2025 J jnl
Dependence-Based Fuzzy Clustering of Functional Time Series.
J. Comput. Graph. Stat.
Ángel López-Oriona, Ying Sun, Han Lin Shang
2025 J jnl
Penalized function-on-function linear quantile regression.
Comput. Stat.
Ufuk Beyaztas, Han Lin Shang, Semanur Saricam
2025 J jnl
Robust functional logistic regression.
Adv. Data Anal. Classif.
Berkay Akturk, Ufuk Beyaztas, Han Lin Shang, Abhijit Mandal
2024 J jnl
Forecasting High-Dimensional Functional Time Series: Application to Sub-National Age-Specific Mortality.
J. Comput. Graph. Stat.
Cristian Felipe Jiménez-Varón, Ying Sun, Han Lin Shang
2024 J jnl
Locally sparse and robust partial least squares in scalar-on-function regression.
Stat. Comput.
Sude Gurer, Han Lin Shang, Abhijit Mandal, Ufuk Beyaztas
2023 J jnl
Depth-based reconstruction method for incomplete functional data.
Comput. Stat.
Antonio Elías, Raúl Jiménez, Han Lin Shang
2023 J jnl
Robust Functional Linear Regression Models.
R J.
Ufuk Beyaztas, Han Lin Shang
2022 J jnl
A comparison of parameter estimation in function-on-function regression.
Commun. Stat. Simul. Comput.
Ufuk Beyaztas, Han Lin Shang
2022 J jnl
Feature extraction for functional time series: Theory and application to NIR spectroscopy data.
J. Multivar. Anal.
Yang Yang, Yanrong Yang, Han Lin Shang
2022 J jnl
Function-on-function linear quantile Regression.
Math. Model. Anal.
Ufuk Beyaztas, Han Lin Shang
2022 J jnl
Functional linear models for interval-valued data.
Commun. Stat. Simul. Comput.
Ufuk Beyaztas, Han Lin Shang, Abdel-Salam G. Abdel-Salam
2022 J jnl
On projection methods for functional time series forecasting.
J. Multivar. Anal.
Antonio Elías, Raúl Jiménez, Han Lin Shang
2022 J jnl
Selecting the derivative of a functional covariate in scalar-on-function regression.
Stat. Comput.
Giles Hooker, Han Lin Shang
2021 J jnl
A partial least squares approach for function-on-function interaction regression.
Comput. Stat.
Ufuk Beyaztas, Han Lin Shang
2020 J jnl
Estimation of a functional single index model with dependent errors and unknown error density.
Commun. Stat. Simul. Comput.
Han Lin Shang
2019 J jnl
High-dimensional functional time series forecasting: An application to age-specific mortality rates.
J. Multivar. Anal.
Yuan Gao, Han Lin Shang, Yanrong Yang
2019 J jnl
Intraday forecasts of a volatility index: functional time series methods with dynamic updating.
Ann. Oper. Res.
Han Lin Shang, Yang Yang, Fearghal Kearney
2018 J jnl
Bootstrap methods for stationary functional time series.
Stat. Comput.
Han Lin Shang
2017 J jnl
Inference for the autocovariance of a functional time series under conditional heteroscedasticity.
J. Multivar. Anal.
Piotr Kokoszka, Gregory Rice, Han Lin Shang
2016 J jnl
A Bayesian approach for determining the optimal semi-metric and bandwidth in scalar-on-function quantile regression with unknown error density and dependent functional data.
J. Multivar. Anal.
Han Lin Shang
2015 J jnl
Resampling Techniques for Estimating the Distribution of Descriptive Statistics of Functional Data.
Commun. Stat. Simul. Comput.
Han Lin Shang
2014 J jnl
A sampling algorithm for bandwidth estimation in a nonparametric regression model with a flexible error density.
Comput. Stat. Data Anal.
Xibin Zhang, Maxwell L. King, Han Lin Shang
2014 J jnl
Bayesian bandwidth estimation for a semi-functional partial linear regression model with unknown error density.
Comput. Stat.
Han Lin Shang
2013 J jnl
Bayesian bandwidth estimation for a nonparametric functional regression model with unknown error density.
Comput. Stat. Data Anal.
Han Lin Shang
2013 J jnl
ftsa: An R Package for Analyzing Functional Time Series.
R J.
Han Lin Shang
2011 J jnl
Nonparametric time series forecasting with dynamic updating.
Math. Comput. Simul.
Han Lin Shang, Rob J. Hyndman
2011 J jnl
Optimal combination forecasts for hierarchical time series.
Comput. Stat. Data Anal.
Rob J. Hyndman, Roman A. Ahmed, George Athanasopoulos, Han Lin Shang
2011 J jnl
rainbow: An R Package for Visualizing Functional Time Series.
R J.
Han Lin Shang
2009 J jnl
D. Hand: Information generation (2007): how data rule our world.
Comput. Stat.
Han Lin Shang