Unique blend of asymptotic theory and small sample practice
through simulation experiments and data analysis.
Novel reproducing kernel Hilbert space methods for the analysis
of smoothing splines and local polynomials. Leading to uniform
error bounds and honest confidence bands for the mean function
using smoothing splines
Exhaustive exposition of algorithms, including the Kalman
filter, for the computation of smoothing splines of arbitrary
order.
General
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