111 citations · 130 across the 9 of their papers we have counts for
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Testing the Missing Completely at Random Assumption for Functional Data
Maximilian Ofner, Siegfried Hörmann, David Kraus +1
We consider functional data which have only been observed on a subset of their domain. This paper aims to develop statistical tests to determine whether the function and the domain…
Fast and Fair Simultaneous Confidence Bands for Functional Parameters
Dominik Liebl, Matthew Reimherr
Quantifying uncertainty using confidence regions is a central goal of statistical inference. Despite this, methodologies for confidence bands in Functional Data Analysis are still…
Partially Observed Functional Data: The Case of Systematically Missing Parts
Dominik Liebl, Stefan Rameseder
New estimators for the mean and the covariance function for partially observed functional data are proposed using a detour via the fundamental theorem of calculus. The new estimato…
Parameter Regimes in Partial Functional Panel Regression
Dominik Liebl, Fabian Walders
A new partial functional linear regression model for panel data with time varying parameters is introduced. The parameter vector of the multivariate model component is allowed to b…
Inference for Sparse and Dense Functional Data with Covariate Adjustments
Dominik Liebl
We consider inference for the mean and covariance functions of covariate adjusted functional data using Local Linear Kernel (LLK) estimators. By means of a double asymptotic, we di…