Han Lin Shang

According to our database, Han Lin Shang authored at least 24 papers between 2009 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Depth-based reconstruction method for incomplete functional data.

Antonio Elías, Raúl Jiménez, Han Lin Shang

Comput. Stat., September, 2023

Robust Functional Linear Regression Models.

Ufuk Beyaztas, Han Lin Shang

R J., March, 2023

2022

Selecting the derivative of a functional covariate in scalar-on-function regression.

Giles Hooker, Han Lin Shang

Stat. Comput., 2022

Function-on-function linear quantile Regression.

Ufuk Beyaztas, Han Lin Shang

Math. Model. Anal., 2022

Feature extraction for functional time series: Theory and application to NIR spectroscopy data.

Yang Yang, Yanrong Yang, Han Lin Shang

J. Multivar. Anal., 2022

On projection methods for functional time series forecasting.

Antonio Elías, Raúl Jiménez, Han Lin Shang

J. Multivar. Anal., 2022

Functional linear models for interval-valued data.

Ufuk Beyaztas, Han Lin Shang, Abdel-Salam G. Abdel-Salam

Commun. Stat. Simul. Comput., 2022

A comparison of parameter estimation in function-on-function regression.

Ufuk Beyaztas, Han Lin Shang

Commun. Stat. Simul. Comput., 2022

2021

A partial least squares approach for function-on-function interaction regression.

Ufuk Beyaztas, Han Lin Shang

Comput. Stat., 2021

2020

Estimation of a functional single index model with dependent errors and unknown error density.

Han Lin Shang

Commun. Stat. Simul. Comput., 2020

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

Intraday forecasts of a volatility index: functional time series methods with dynamic updating.

Han Lin Shang, Yang Yang, Fearghal Kearney

Ann. Oper. Res., 2019

2018

Bootstrap methods for stationary functional time series.

Han Lin Shang

Stat. Comput., 2018

2017

Inference for the autocovariance of a functional time series under conditional heteroscedasticity.

Piotr Kokoszka, Gregory Rice, Han Lin Shang

J. Multivar. Anal., 2017

2016

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

2015

Resampling Techniques for Estimating the Distribution of Descriptive Statistics of Functional Data.

Han Lin Shang

Commun. Stat. Simul. Comput., 2015

2014

Bayesian bandwidth estimation for a semi-functional partial linear regression model with unknown error density.

Han Lin Shang

Comput. Stat., 2014

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

2013

ftsa: An R Package for Analyzing Functional Time Series.

Han Lin Shang

R J., 2013

Bayesian bandwidth estimation for a nonparametric functional regression model with unknown error density.

Han Lin Shang

Comput. Stat. Data Anal., 2013

2011

rainbow: An R Package for Visualizing Functional Time Series.

Han Lin Shang

R J., 2011

Nonparametric time series forecasting with dynamic updating.

Han Lin Shang, Rob J. Hyndman

Math. Comput. Simul., 2011

Optimal combination forecasts for hierarchical time series.

Rob J. Hyndman, Roman A. Ahmed, George Athanasopoulos, Han Lin Shang

Comput. Stat. Data Anal., 2011

2009

D. Hand: Information generation (2007): how data rule our world.

Han Lin Shang

Comput. Stat., 2009