With the advance of modern technology, more and more data are being recorded
continuously during a time interval or intermittently at several discrete time points. These are …

Recent advances in functional data analysis and high-dimensional statistics - ScienceDirect
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Existing approaches for multivariate functional principal component analysis are restricted to
data on the same one-dimensional interval. The presented approach focuses on multivariate …

From sparse to dense functional data and beyond Page 1 The Annals of Statistics 2016, Vol.
44, No. 5, 2281–2321 DOI: 10.1214/16-AOS1446 © Institute of Mathematical Statistics, 2016 …

There has been substantial recent work on methods for estimating the slope function in
linear regression for functional data analysis. However, as in the case of more conventional …

Recent years have seen an explosion of activity in the field of functional data analysis (FDA),
in which curves, spectra, images and so on are considered as basic functional data units. A …

The focus of this paper is the nonparametric estimation of an instrumental regression
function ϕ defined by conditional moment restrictions that stem from a structural econometric …

Inverse problems can be described as functional equations where the value of the function
is known or easily estimable but the argument is unknown. Many problems in econometrics …

This book is intended to introduce graduate students and practicing professionals to some of
the main ideas and methods of semiparametric and nonparametric estimation in …

We study in this paper a smoothness regularization method for functional linear regression
and provide a unified treatment for both the prediction and estimation problems. By …