
Functional estimation in logconcave location families
Let {P_θ:θ∈ℝ^d} be a logconcave location family with P_θ(dx)=e^V(xθ)d...
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Van Trees inequality, group equivariance, and estimation of principal subspaces
We establish nonasymptotic lower bounds for the estimation of principal...
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Nonparametric goodnessoffit testing for parametric covariate models in pharmacometric analyses
The characterization of covariate effects on model parameters is a cruci...
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Information inequalities for the estimation of principal components
We provide lower bounds for the estimation of the eigenspaces of a covar...
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Analyzing the discrepancy principle for kernelized spectral filter learning algorithms
We investigate the construction of early stopping rules in the nonparame...
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On the perturbation series for eigenvalues and eigenprojections
A standard perturbation result states that perturbed eigenvalues and eig...
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Highprobability bounds for the reconstruction error of PCA
We identify principal component analysis (PCA) as an empirical risk mini...
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A note on the prediction error of principal component regression
We analyse the prediction error of principal component regression (PCR) ...
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Martin Wahl
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