33 citations · 47 across the 26 of their papers we have counts for
5 papers · 1 filter
A partial least squares approach for function-on-function interaction regression
Ufuk Beyaztas, Han Lin Shang
A partial least squares regression is proposed for estimating the function-on-function regression model where a functional response and multiple functional predictors consist of ra…
Robust bootstrap prediction intervals for univariate and multivariate autoregressive time series models
Ufuk Beyaztas, Han Lin Shang
The bootstrap procedure has emerged as a general framework to construct prediction intervals for future observations in autoregressive time series models. Such models with outlying…
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…
A comparison of parameter estimation in function-on-function regression
Ufuk Beyaztas, Han Lin Shang
Recent technological developments have enabled us to collect complex and high-dimensional data in many scientific fields, such as population health, meteorology, econometrics, geol…
Functional linear models for interval-valued data
Ufuk Beyaztas, Han Lin Shang, Abdel-Salam G. Abdel-Salam
Aggregation of large databases in a specific format is a frequently used process to make the data easily manageable. Interval-valued data is one of the data types that is generated…