Functional single index models for longitudinal data

Details Functional single index models for longitudinal data Functional single index models for longitudinal data

2011-03-09

arxiv.org/abs/1103.1726v1

Annals of Statistics 2011, Vol. 39, No. 1, 362-388

Mathematics

Statistics Theory

Published in at http://dx.doi.org/10.1214/10-AOS845 the Annals of Statistics (http://www.imstat.org/aos/) by the Institute of

Scientific paper

10.1214/10-AOS845

A new single-index model that reflects the time-dynamic effects of the single index is proposed for longitudinal and functional response data, possibly measured with errors, for both longitudinal and time-invariant covariates. With appropriate initial estimates of the parametric index, the proposed estimator is shown to be $\sqrt{n}$-consistent and asymptotically normally distributed. We also address the nonparametric estimation of regression functions and provide estimates with optimal convergence rates. One advantage of the new approach is that the same bandwidth is used to estimate both the nonparametric mean function and the parameter in the index. The finite-sample performance for the proposed procedure is studied numerically.

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