5 papers
Stopping time detection of wood panel compression: A functional time series approach
H. L. Shang, J. Cao, P. Sang
We consider determining the optimal stopping time for the glue curing of wood panels in an automatic process environment. Using the near-infrared spectroscopy technology to monitor…
Factor-augmented model for functional data
Yuan Gao, Han Lin Shang, Yanrong Yang
We propose modeling raw functional data as a mixture of a smooth function and a high-dimensional factor component. The conventional approach to retrieving the smooth function from…
Feature Extraction for Functional Time Series: Theory and Application to NIR Spectroscopy Data
Yang Yang, Yanrong Yang, Han Lin Shang
We propose a novel method to extract global and local features of functional time series. The global features concerning the dominant modes of variation over the entire function do…
Factor-augmented Smoothing Model for Functional Data
Yuan Gao, Han Lin Shang, Yanrong Yang
We propose modeling raw functional data as a mixture of a smooth function and a highdimensional factor component. The conventional approach to retrieving the smooth function from t…
Granger causality of bivariate stationary curve time series
Han Lin Shang, Kaiying Ji, Ufuk Beyaztas
We study causality between bivariate curve time series using the Granger causality generalized measures of correlation. With this measure, we can investigate which curve time serie…