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20162022
most citedA robust functional time series forecasting method

8 citations · 10 across the 16 of their papers we have counts for

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7 papers · 1 filter

stat.AP2021

A functional autoregressive model based on exogenous hydrometeorological variables for river flow prediction

Ufuk Beyaztas, Han Lin Shang, Zaher Mundher Yaseen

In this research, a functional time series model was introduced to predict future realizations of river flow time series. The proposed model was constructed based on a functional t…

stat.AP2019

Dynamic principal component regression for forecasting functional time series in a group structure

Han Lin Shang

When generating social policies and pricing annuity at national and subnational levels, it is essential both to forecast mortality accurately and ensure that forecasts at the subna…

stat.AP2019

Dynamic principal component regression: Application to age-specific mortality forecasting

Han Lin Shang

In areas of application, including actuarial science and demography, it is increasingly common to consider a time series of curves; an example of this is age-specific mortality rat…

stat.AP2018

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

Han Lin Shang, Yang Yang, Fearghal Kearney

As a forward-looking measure of future equity market volatility, the VIX index has gained immense popularity in recent years to become a key measure of risk for market analysts and…

stat.AP2018

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

Han Lin Shang

The problem of error density estimation for a functional single index model with dependent errors is studied. A Bayesian method is utilized to simultaneously estimate the bandwidth…

stat.AP2018

Model confidence sets and forecast combination: An application to age-specific mortality

Han Lin Shang, Steven Haberman

Model averaging combines forecasts obtained from a range of models, and it often produces more accurate forecasts than a forecast from a single model. The crucial part of forecast…