On determining the prediction limits of mathematical models for time series

E. Peluso, A. Murari, M. Gelfusa, M. Lungaroni, S. Talebzadeh, P. Gaudio

Research output: Contribution to journalArticle


Prediction is one of the main objectives of scientific analysis and it refers to both modelling and forecasting. The determination of the limits of predictability is an important issue of both theoretical and practical relevance. In the case of modelling time series, reached a certain level in performance in either modelling or prediction, it is often important to assess whether all the information available in the data has been exploited or whether there are still margins for improvement of the tools being developed. In this paper, an information theoretic approach is proposed to address this issue and quantify the quality of the models and/or predictions. The excellent properties of the proposed indicator have been proved with the help of a systematic series of numerical tests and a concrete example of extreme relevance for nuclear fusion.
Original languageEnglish
Article numberC07013
Pages (from-to)-
JournalJournal of Instrumentation
Issue number7
Publication statusPublished - 26 Jul 2016
Externally publishedYes


All Science Journal Classification (ASJC) codes

  • Instrumentation
  • Mathematical Physics

Cite this

Peluso, E., Murari, A., Gelfusa, M., Lungaroni, M., Talebzadeh, S., & Gaudio, P. (2016). On determining the prediction limits of mathematical models for time series. Journal of Instrumentation, 11(7), -. [C07013]. https://doi.org/10.1088/1748-0221/11/07/C07013