122 citations · 127 across the 3 of their papers we have counts for
3 papers
stat.ME2008★ 2 cited
Principal components analysis for sparsely observed correlated functional data using a kernel smoothing approach
Debashis Paul, Jie Peng
In this paper, we consider the problem of estimating the covariance kernel and its eigenvalues and eigenfunctions from sparse, irregularly observed, noise corrupted and (possibly)…
stat.AP2008★ 122 cited
Distance-based clustering of sparsely observed stochastic processes, with applications to online auctions
Jie Peng, Hans-Georg Müller
We propose a distance between two realizations of a random process where for each realization only sparse and irregularly spaced measurements with additional measurement errors are…
stat.ME2007★ 3 cited
A geometric approach to maximum likelihood estimation of the functional principal components from sparse longitudinal data
Jie Peng, Debashis Paul
In this paper, we consider the problem of estimating the eigenvalues and eigenfunctions of the covariance kernel (i.e., the functional principal components) from sparse and irregul…