Editing Outlier (section)

=== Alternative models ===
In cases where the cause of the outliers is known, it may be possible to incorporate this effect into the model structure, for example by using a [[hierarchical Bayes model]], or a [[mixture model]].<ref>Roberts, S. and Tarassenko, L.: 1995, A probabilistic resource allocating network for novelty detection. Neural Computation 6, 270–284.</ref><ref>{{Cite journal |last= Bishop |first=C. M. |date= August 1994 |title= Novelty detection and Neural Network validation |journal= IEE Proceedings - Vision, Image, and Signal Processing|volume=141 |issue=4 |pages= 217–222 |doi=10.1049/ip-vis:19941330 |doi-broken-date=7 December 2024 }}</ref>