5 citations · 7 across the 4 of their papers we have counts for
4 papers
Testing separability for continuous functional data
Holger Dette, Gauthier Dierickx, Tim Kutta
Analyzing the covariance structure of data is a fundamental task of statistics. While this task is simple for low-dimensional observations, it becomes challenging for more intricat…
Statistical inference for the slope parameter in functional linear regression
Tim Kutta, Gauthier Dierickx, Holger Dette
In this paper we consider the linear regression model with functional regressors and responses. We develop new inference tools to quantify deviations of the t…
Quantifying deviations from separability in space-time functional processes
Holger Dette, Gauthier Dierickx, Tim Kutta
The estimation of covariance operators of spatio-temporal data is in many applications only computationally feasible under simplifying assumptions, such as separability of the cova…
A general Darling-Erdös theorem in Euclidean space
Gauthier Dierickx, Uwe Einmahl
We provide an improved version of the Darling-Erdös theorem for sums of i.i.d. random variables with mean zero and finite variance. We extend this result to multidimensional random…