Evidential likelihood flatness as a way tomeasure data quality: the multinomial case
- https://doi.org/10.2991/ifsa-eusflat-15.2015.46How to use a DOI?
- Data quality, evidential likelihood, consonant mass function, non-specificity
Likelihood functions, as well as the more recent concept of evidential likelihood, are essential statistical tools to perform estimation. Beyond the maximal likelihood value, the shape of the likelihood can also give interesting information about the data used to get the estimation. Indeed, it is generally acknowledged that more uncertain and scarce data will lead to flatter likelihoods. However, different aspects can affect this shape, and it may be worthwhile to separate various influences. In this paper, we discuss these influences and propose some practical ways to separate them into different measures. We demonstrate our approach on the particular case of the multinomial likelihood, which plays an important role in applications such as classification.
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Liyao Ma AU - Sébastien Destercke AU - Yong Wang PY - 2015/06 DA - 2015/06 TI - Evidential likelihood flatness as a way tomeasure data quality: the multinomial case BT - Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology PB - Atlantis Press SP - 313 EP - 319 SN - 1951-6851 UR - https://doi.org/10.2991/ifsa-eusflat-15.2015.46 DO - https://doi.org/10.2991/ifsa-eusflat-15.2015.46 ID - Ma2015/06 ER -