Generalised spatial and spatiotemporal autoregressive conditional heteroscedasticity

  title={Generalised spatial and spatiotemporal autoregressive conditional heteroscedasticity},
  author={Philipp Otto and Wolfgang Schmid and Robert Garthoff},
  journal={Spatial Statistics},

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  • Environmental Science
    Statistical science : a review journal of the Institute of Mathematical Statistics
  • 2010
In an application on the association between black carbon particulate matter air pollution and birth weight, controlling for large-scale spatial variation appears to reduce bias from unmeasured confounders, while increasing uncertainty in the estimated pollution effect.