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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 2019Show all

6 papers · 1 filter

stat.ME2019★ 33 cited

On function-on-function regression: Partial least squares approach

Ufuk Beyaztas, Han Lin Shang

Functional data analysis tools, such as function-on-function regression models, have received considerable attention in various scientific fields because of their observed high-dim…

q-fin.ST2019★ 8 cited

Implied volatility surface predictability: the case of commodity markets

Fearghal Kearney, Han Lin Shang, Lisa Sheenan

Recent literature seek to forecast implied volatility derived from equity, index, foreign exchange, and interest rate options using latent factor and parametric frameworks. Motivat…

stat.AP2019★ 10 cited

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.ME2019★ 12 cited

Forecasting functional time series using weighted likelihood methodology

Ufuk Beyaztas, Han Lin Shang

Functional time series whose sample elements are recorded sequentially over time are frequently encountered with increasing technology. Recent studies have shown that analyzing and…

stat.AP2019★ 20 cited

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.ME2019★ 8 cited

A robust functional time series forecasting method

Han Lin Shang

Univariate time series often take the form of a collection of curves observed sequentially over time. Examples of these include hourly ground-level ozone concentration curves. Thes…