Han Lin Shang

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 17

Top Topics

Linear Regression Models

Reconstruction Method

Top Venues

J. Multivar. Anal.

Commun. Stat. Simul. Comput.

Publications

Sude Gurer, Han Lin Shang, Abhijit Mandal, Ufuk Beyaztas
Locally sparse and robust partial least squares in scalar-on-function regression. Stat. Comput. 34 (5) (2024)
Ufuk Beyaztas, Han Lin Shang
Robust Functional Linear Regression Models. R J. 15 (1) (2023)
Antonio Elías, Raúl Jiménez, Han Lin Shang
Depth-based reconstruction method for incomplete functional data. Comput. Stat. 38 (3) (2023)
Giles Hooker, Han Lin Shang
Selecting the derivative of a functional covariate in scalar-on-function regression. Stat. Comput. 32 (3) (2022)
Ufuk Beyaztas, Han Lin Shang
Function-on-function linear quantile Regression. Math. Model. Anal. 27 (2) (2022)
Ufuk Beyaztas, Han Lin Shang
A comparison of parameter estimation in function-on-function regression. Commun. Stat. Simul. Comput. 51 (8) (2022)
Yang Yang, Yanrong Yang, Han Lin Shang
Feature extraction for functional time series: Theory and application to NIR spectroscopy data. J. Multivar. Anal. 189 (2022)
Ufuk Beyaztas, Han Lin Shang, Abdel-Salam G. Abdel-Salam
Functional linear models for interval-valued data. Commun. Stat. Simul. Comput. 51 (7) (2022)
Antonio Elías, Raúl Jiménez, Han Lin Shang
On projection methods for functional time series forecasting. J. Multivar. Anal. 189 (2022)
Ufuk Beyaztas, Han Lin Shang
A partial least squares approach for function-on-function interaction regression. Comput. Stat. 36 (2) (2021)
Han Lin Shang
Estimation of a functional single index model with dependent errors and unknown error density. Commun. Stat. Simul. Comput. 49 (12) (2020)
Yuan Gao, Han Lin Shang, Yanrong Yang
High-dimensional functional time series forecasting: An application to age-specific mortality rates. J. Multivar. Anal. 170 (2019)
Han Lin Shang, Yang Yang, Fearghal Kearney
Intraday forecasts of a volatility index: functional time series methods with dynamic updating. Ann. Oper. Res. 282 (1-2) (2019)
Han Lin Shang
Bootstrap methods for stationary functional time series. Stat. Comput. 28 (1) (2018)
Piotr Kokoszka, Gregory Rice, Han Lin Shang
Inference for the autocovariance of a functional time series under conditional heteroscedasticity. J. Multivar. Anal. 162 (2017)
Han Lin Shang
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. 146 (2016)
Han Lin Shang
Resampling Techniques for Estimating the Distribution of Descriptive Statistics of Functional Data. Commun. Stat. Simul. Comput. 44 (3) (2015)
Han Lin Shang
Bayesian bandwidth estimation for a semi-functional partial linear regression model with unknown error density. Comput. Stat. 29 (3) (2014)
Xibin Zhang, Maxwell L. King, Han Lin Shang
A sampling algorithm for bandwidth estimation in a nonparametric regression model with a flexible error density. Comput. Stat. Data Anal. 78 (2014)
Han Lin Shang
Bayesian bandwidth estimation for a nonparametric functional regression model with unknown error density. Comput. Stat. Data Anal. 67 (2013)
Han Lin Shang
ftsa: An R Package for Analyzing Functional Time Series. R J. 5 (1) (2013)
Han Lin Shang, Rob J. Hyndman
Nonparametric time series forecasting with dynamic updating. Math. Comput. Simul. 81 (7) (2011)
Han Lin Shang
rainbow: An R Package for Visualizing Functional Time Series. R J. 3 (2) (2011)
Rob J. Hyndman, Roman A. Ahmed, George Athanasopoulos, Han Lin Shang
Optimal combination forecasts for hierarchical time series. Comput. Stat. Data Anal. 55 (9) (2011)
Han Lin Shang
D. Hand: Information generation (2007): how data rule our world. Comput. Stat. 24 (2) (2009)