D. Hand: Information generation (2007): how data rule our world. - Han Lin Shang (Comput. Stat., 2009)

Optimal combination forecasts for hierarchical time series. - Rob J. Hyndman; Roman A. Ahmed; George Athanasopoulos; Han Lin Shang (Comput. Stat. Data Anal., 2011)

Nonparametric time series forecasting with dynamic updating. - Han Lin Shang; Rob J. Hyndman (Math. Comput. Simul., 2011)

rainbow: An R Package for Visualizing Functional Time Series. - Han Lin Shang (R J., 2011)

Bayesian bandwidth estimation for a nonparametric functional regression model with unknown error density. - Han Lin Shang (Comput. Stat. Data Anal., 2013)

ftsa: An R Package for Analyzing Functional Time Series. - Han Lin Shang (R J., 2013)

A sampling algorithm for bandwidth estimation in a nonparametric regression model with a flexible error density. - Xibin Zhang; Maxwell L. King; Han Lin Shang (Comput. Stat. Data Anal., 2014)

Bayesian bandwidth estimation for a semi-functional partial linear regression model with unknown error density. - Han Lin Shang (Comput. Stat., 2014)

Resampling Techniques for Estimating the Distribution of Descriptive Statistics of Functional Data. - Han Lin Shang (Commun. Stat. Simul. Comput., 2015)

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. - Han Lin Shang (J. Multivar. Anal., 2016)

Inference for the autocovariance of a functional time series under conditional heteroscedasticity. - Piotr Kokoszka; Gregory Rice; Han Lin Shang (J. Multivar. Anal., 2017)

Bootstrap methods for stationary functional time series. - Han Lin Shang (Stat. Comput., 2018)

Intraday forecasts of a volatility index: functional time series methods with dynamic updating. - Han Lin Shang; Yang Yang 070; Fearghal Kearney (Ann. Oper. Res., 2019)

High-dimensional functional time series forecasting: An application to age-specific mortality rates. - Yuan Gao; Han Lin Shang; Yanrong Yang (J. Multivar. Anal., 2019)

Estimation of a functional single index model with dependent errors and unknown error density. - Han Lin Shang (Commun. Stat. Simul. Comput., 2020)

A partial least squares approach for function-on-function interaction regression. - Ufuk Beyaztas; Han Lin Shang (Comput. Stat., 2021)

A comparison of parameter estimation in function-on-function regression. - Ufuk Beyaztas; Han Lin Shang (Commun. Stat. Simul. Comput., 2022)

Functional linear models for interval-valued data. - Ufuk Beyaztas; Han Lin Shang; Abdel-Salam G. Abdel-Salam (Commun. Stat. Simul. Comput., 2022)

On projection methods for functional time series forecasting. - Antonio Elías; Raúl Jiménez; Han Lin Shang (J. Multivar. Anal., 2022)

Feature extraction for functional time series: Theory and application to NIR spectroscopy data. - Yang Yang 070; Yanrong Yang; Han Lin Shang (J. Multivar. Anal., 2022)

Function-on-function linear quantile Regression. - Ufuk Beyaztas; Han Lin Shang (Math. Model. Anal., 2022)

Selecting the derivative of a functional covariate in scalar-on-function regression. - Giles Hooker; Han Lin Shang (Stat. Comput., 2022)

Robust Functional Linear Regression Models. - Ufuk Beyaztas; Han Lin Shang (R J., 2023)

Depth-based reconstruction method for incomplete functional data. - Antonio Elías; Raúl Jiménez; Han Lin Shang (Comput. Stat., 2023)

Forecasting High-Dimensional Functional Time Series: Application to Sub-National Age-Specific Mortality. - Cristian F. Jiménez-Varón; Ying Sun 002; Han Lin Shang (J. Comput. Graph. Stat., 2024)

Locally sparse and robust partial least squares in scalar-on-function regression. - Sude Gurer; Han Lin Shang; Abhijit Mandal; Ufuk Beyaztas (Stat. Comput., 2024)

Penalized function-on-function linear quantile regression. - Ufuk Beyaztas; Han Lin Shang; Semanur Saricam (Comput. Stat., 2025)

Robust functional logistic regression. - Berkay Akturk; Ufuk Beyaztas; Han Lin Shang; Abhijit Mandal (Adv. Data Anal. Classif., 2025)