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Principal components analysis for sparsely observed correlated
  functional data using a kernel smoothing approach

Principal components analysis for sparsely observed correlated functional data using a kernel smoothing approach

7 July 2008
D. Paul
Jie Peng
ArXivPDFHTML

Papers citing "Principal components analysis for sparsely observed correlated functional data using a kernel smoothing approach"

2 / 2 papers shown
Title
A reproducing kernel Hilbert space approach to functional linear
  regression
A reproducing kernel Hilbert space approach to functional linear regression
M. Yuan
Tommaso Cai
95
278
0
12 Nov 2012
Consistency of restricted maximum likelihood estimators of principal
  components
Consistency of restricted maximum likelihood estimators of principal components
D. Paul
Jie Peng
73
46
0
05 May 2008
1