Testing the Gauss linear assumption for on-line predictions

  title={Testing the Gauss linear assumption for on-line predictions},
  author={Valentina Fedorova and Ilia Nouretdinov and Alexander Gammerman},
  journal={Progress in Artificial Intelligence},
The article studies prediction under some background assumptions and tests the assumptions. We use a conformal predictors framework and obtain predictions as regions. This is done by an on-line compression model that satisfies our assumptions. If the assumptions are appropriate for data, the prediction regions are automatically valid. The validity means… CONTINUE READING