35 citations · 73 across the 9 of their papers we have counts for
4 papers · 1 filter
Nonparametric principal subspace regression
Mark Koudstaal, Dengdeng Yu, Dehan Kong +1
In scientific applications, multivariate observations often come in tandem with temporal or spatial covariates, with which the underlying signals vary smoothly. The standard approa…
Intrinsic Riemannian Functional Data Analysis
Zhenhua Lin, Fang Yao
In this work we develop a novel and foundational framework for analyzing general Riemannian functional data, in particular a new development of tensor Hilbert spaces along curves o…
Empirical dynamics for longitudinal data
Hans-Georg Müller, Fang Yao
We demonstrate that the processes underlying on-line auction price bids and many other longitudinal data can be represented by an empirical first order stochastic ordinary differen…
Estimation of functional derivatives
Peter Hall, Hans-Georg Müller, Fang Yao
Situations of a functional predictor paired with a scalar response are increasingly encountered in data analysis. Predictors are often appropriately modeled as square integrable sm…