Corpus ID: 88524447

Bootstrapping Generalization Error Bounds for Time Series

@article{Lunde2017BootstrappingGE,
  title={Bootstrapping Generalization Error Bounds for Time Series},
  author={Robert Lunde and C. Shalizi},
  journal={arXiv: Statistics Theory},
  year={2017}
}
  • Robert Lunde, C. Shalizi
  • Published 2017
  • Mathematics
  • arXiv: Statistics Theory
  • We consider the problem of finding confidence intervals for the risk of forecasting the future of a stationary, ergodic stochastic process, using a model estimated from the past of the process. We show that a bootstrap procedure provides valid confidence intervals for the risk, when the data source is sufficiently mixing, and the loss function and the estimator are suitably smooth. Autoregressive (AR(d)) models estimated by least squares obey the necessary regularity conditions, even when mis… CONTINUE READING

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