33 citations · 136 across the 34 of their papers we have counts for
9 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…
Bayesian bandwidth estimation for local linear fitting in nonparametric regression models
Han Lin Shang, Xibin Zhang
This paper presents a Bayesian sampling approach to bandwidth estimation for the local linear estimator of the regression function in a nonparametric regression model. In the Bayes…
Selecting the Derivative of a Functional Covariate in Scalar-on-Function Regression
Giles Hooker, Hanlin Shang
This paper presents tests to formally choose between regression models using different derivatives of a functional covariate in scalar-on-function regression. We demonstrate that f…
A comparison of Hurst exponent estimators in long-range dependent curve time series
Han Lin Shang
The Hurst exponent is the simplest numerical summary of self-similar long-range dependent stochastic processes. We consider the estimation of Hurst exponent in long-range dependent…
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…