activity
20162024
most citedOn function-on-function regression: Partial least squares approach

33 citations · 136 across the 34 of their papers we have counts for

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Showing 2018Show all

5 papers · 1 filter

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…

math.ST2018★ 14 cited

Semiparametric Regression using Variational Approximations

Francis K. C. Hui, Chong You, Han Lin Shang +1

Semiparametric regression offers a flexible framework for modeling non-linear relationships between a response and covariates. A prime example are generalized additive models where…

stat.ME2018★ 1 cited

High-dimensional functional time series forecasting: An application to age-specific mortality rates

Yuan Gao, Han Lin Shang, Yanrong Yang

We address the problem of forecasting high-dimensional functional time series through a two-fold dimension reduction procedure. The difficulty of forecasting high-dimensional funct…

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…