publication . Other literature type . Conference object . 2017

The Model Is Simple, Until Proven Otherwise: How To Cope In An Ever-Changing World

Faul, Anita C.; Pilikos, Georgios;
Open Access
  • Published: 21 Apr 2017
  • Publisher: Zenodo
There are several challenges with which data present us nowadays. For one there is the abundance of data and the necessity to extract the essential information from it. When tackling this task a balance has to be struck between putting aside irrelevant information and keeping the relevant one without getting lost in detail, known as over-fitting. The law of parsimony, also known as Occam’s razor should be a guiding principle, keeping models simple while explaining the data. The next challenge is the fact that the data samples are not static. New samples arrive constantly through the pipeline. Therefore, there is a need for models which update themselves as the n...
free text keywords: Bayesian Inference, Confidence Measure, up-dating models
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Other literature type . 2017
Provider: Datacite
Other literature type . 2017
Provider: Datacite
Conference object . 2017
Provider: ZENODO
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