101 citations · 294 across the 22 of their papers we have counts for
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stat.ME2013★ 101 cited
Fast Covariance Estimation for High-dimensional Functional Data
Luo Xiao, David Ruppert, Vadim Zipunnikov +1
For smoothing covariance functions, we propose two fast algorithms that scale linearly with the number of observations per function. Most available methods and software cannot smoo…
stat.ME2013★ 5 cited
Bayesian Functional Generalized Additive Models with Sparsely Observed Covariates
Mathew W. McLean, Fabian Scheipl, Giles Hooker +2
The functional generalized additive model (FGAM) was recently proposed in McLean et al. (2013) as a more flexible alternative to the common functional linear model (FLM) for regres…
math.ST2013★ 1 cited
Optimal Prediction in an Additive Functional Model
Xiao Wang, David Ruppert
The functional generalized additive model (FGAM) provides a more flexible nonlinear functional regression model than the well-studied functional linear regression model. This paper…